Cloud Security 101: Risks, Tools, and Best Practices

Cloud security becomes harder as organizations add more accounts, applications, APIs, containers, SaaS tools, and third-party integrations. Assets can appear within minutes, while outdated permissions and forgotten services may remain active for months. Traditional annual assessments cannot always keep pace with these changes. Teams need a clear inventory, continuous attack surface monitoring, and testing that shows whether vulnerabilities are actually exploitable. AI-driven assessment can provide broader coverage, while certified manual testers add valuable human validation. This guide breaks down the core controls, tools, compliance considerations, and practical steps for protecting a changing cloud environment.

Key Takeaways

• Clarify security ownership: Document which controls your cloud provider manages and assign internal owners for identities, data, applications, configurations, workloads, backups, and compliance evidence.
• Focus on the risks that matter most: Prioritize exposed assets, sensitive data, excessive permissions, exploitable weaknesses, and attack paths that could disrupt critical operations.
• Make testing continuous: Combine asset discovery, secure development checks, monitoring, vulnerability scanning, AI penetration testing, and certified manual validation to identify, fix, and retest cloud security issues.

What Is Cloud Security, and Why Does It Matter?

Cloud security protects the data, applications, workloads, identities, and infrastructure an organization runs in cloud environments. It combines technology with clear policies, assigned responsibilities, secure configurations, continuous monitoring, and regular testing. Without this broader approach, a single exposed database, excessive permission, or vulnerable application can create a path to sensitive systems.

Define cloud security and its scope

Cloud security is the collection of procedures, technologies, controls, and policies used to protect cloud-based resources. It addresses external threats, such as cyberattacks and unauthorized access, alongside internal risks, including accidental exposure, weak credentials, and misconfigurations. IBM’s cloud security overview offers a useful explanation of these core protections.

Its scope includes cloud accounts, virtual machines, containers, databases, APIs, software pipelines, identities, storage, and management consoles. It also covers incident response, service recovery, vulnerability management, and the evidence needed to demonstrate compliance. Security teams should review the full environment rather than focus only on the infrastructure managed by the cloud provider.

Protect cloud data, apps, identities, and infrastructure

A strong cloud security program protects four connected areas. Data security safeguards customer information, intellectual property, credentials, and regulated records. Application security addresses weaknesses in web applications, APIs, code, containers, and serverless workloads. Identity security controls access for employees, contractors, service accounts, and automated tools, giving each only the permissions it needs.

Infrastructure security covers networks, storage, computing resources, operating systems, and cloud configurations. These areas affect one another. For example, an overprivileged identity could access an exposed database, while a vulnerable application could provide a route into internal services. Continuous scanning, attack surface management, and AI penetration testing can help identify and validate these connected risks.

Compare public, private, hybrid, and multicloud environments

The cloud model an organization uses affects its security controls, visibility, and responsibilities:

• Public cloud: Providers such as AWS, Microsoft Azure, and Google Cloud operate shared infrastructure for multiple customers. Each customer remains responsible for its accounts, configurations, workloads, and data.
• Private cloud: One organization uses dedicated cloud infrastructure, which can provide greater control over architecture and security settings.
• Hybrid cloud: Private or on-premises systems connect with public cloud services. Teams must protect the links, identities, and data moving between them.
• Multicloud: An organization uses services from multiple public cloud providers. This can reduce dependence on one provider, but creates differences in permissions, policies, monitoring, and logging.

These models often exist together, making a complete asset inventory essential. Cloud security guidance from Orca Security explains how deployment models influence security responsibilities.

Assess business, operational, and compliance risks

Cloud security failures can interrupt services, expose sensitive information, create financial losses, and weaken customer trust. Operational risk often begins with a small issue, such as an unpatched workload, an unused account, or publicly accessible storage. Because cloud environments change frequently, teams need to review new and existing assets on a regular schedule.

Compliance adds another responsibility. Using a third-party cloud provider does not remove an organization’s accountability for legal, contractual, or industry requirements. A violation can occur without a confirmed breach if a company cannot show appropriate access reviews, retention controls, supplier oversight, or security testing. Google Cloud’s cloud security guidance explains why organizations must understand their obligations when using cloud services.

How Does the Shared Responsibility Model Work?

Cloud security is a partnership between your organization and your cloud provider. The provider protects the infrastructure that delivers the service, while your team secures the data, applications, identities, and configurations running on it. The exact division of work depends on the service you use, so responsibility changes when you move from virtual machines to managed platforms or browser-based software.

This model matters because a secure provider environment does not automatically make your cloud deployment secure. A misconfigured storage bucket, excessive administrator permission, exposed API key, or vulnerable application can still create a path to compromise. Google Cloud explains this division in its guide to cloud security, which outlines how providers and customers manage different layers of protection.

Start by documenting each cloud service, the assets it hosts, and the security tasks your team must complete. Then assign those tasks to named owners, set review dates, and define the evidence required. This gives security, engineering, compliance, and IT teams a shared view of what secure configuration means for every workload.

Understand provider security responsibilities

Cloud providers protect the underlying infrastructure used to deliver their services. This generally includes physical data centers, facilities, hardware, core networking, and the virtualization layer. Providers also maintain foundational controls such as physical access restrictions, hardware maintenance, infrastructure resilience, and parts of the platform’s monitoring and incident response processes.

The provider’s responsibility does not mean every security feature is enabled for your account. It also does not guarantee that your applications, identities, or data are configured correctly. Before placing sensitive workloads in the environment, review the provider’s security documentation, compliance reports, service terms, and incident notification procedures.

Ask practical questions during vendor reviews: Which controls does the provider operate? Which controls must customers configure? What logs are available? How are vulnerabilities disclosed and patched? Can you export evidence for audits? These answers help reveal gaps that a provider’s certification alone may not address.

Define customer security responsibilities

Customers are responsible for protecting their data, applications, identities, and many network and access settings. This includes configuring authentication, enforcing least privilege, protecting secrets, encrypting sensitive information, reviewing permissions, and monitoring activity. Your team must also secure the code and dependencies that power cloud applications.

Compliance remains a customer responsibility, even when the provider supplies compliant infrastructure. Determine where regulated data is stored, who can access it, how long it is retained, and whether your controls meet requirements such as GDPR, HIPAA, PCI DSS, or ISO 27001.

Build a responsibility checklist for every workload. Include identity management, data protection, vulnerability remediation, logging, backup, incident response, and recovery testing. Regular AI penetration testing can help validate exposed services and applications, particularly when configurations and deployments change frequently.

Compare IaaS, PaaS, and SaaS responsibilities

The more infrastructure your team manages, the more security work remains with you. With infrastructure as a service, or IaaS, the provider secures the physical environment and core infrastructure, while your organization typically manages operating systems, applications, data, virtual networks, and access policies. Unpatched servers and insecure firewall rules are customer-side risks.

With platform as a service, or PaaS, the provider manages more of the operating system, runtime, and middleware. Your team still secures application code, data, identities, configurations, and connections between services. Developers should validate authentication, input handling, dependency security, and API permissions before release.

With software as a service, or SaaS, the provider manages most of the application and infrastructure stack. Customers still control user access, tenant settings, data handling, integrations, and often retention policies. Review administrative roles, third-party connections, audit logs, and data export options before assuming the provider handles everything.

Manage managed-service and third-party responsibilities

Managed databases, identity platforms, observability tools, software integrations, and security services can reduce operational work, but they also introduce new dependencies. Your organization remains responsible for deciding whether each provider meets its security and compliance requirements. A trusted vendor can still create risk if it receives excessive access or connects to sensitive systems without adequate monitoring.

Evaluate third parties before onboarding them, then reassess them throughout the relationship. Review security certifications, penetration testing summaries, breach history, data-processing terms, subcontractors, retention practices, and access controls. Organizations should also audit third-party security practices to confirm that suppliers follow internal policies and required standards.

Limit vendor access to the systems and data they need, use time-bound permissions where possible, and remove accounts when contracts or projects end. Track integrations as part of your attack surface, since an overlooked token or service account can expose several connected environments at once.

Assign control ownership and evidence

A responsibility matrix turns the shared model into an operating process. For each control, record the provider’s role, your organization’s role, the accountable owner, the review frequency, and the evidence required. Useful evidence may include configuration snapshots, access reviews, vulnerability reports, incident records, backup tests, training logs, and supplier assessments.

Separate ownership from execution. An engineering team might configure encryption, while security verifies the setting and compliance retains the audit record. This distinction prevents important controls from falling between departments and makes reviews easier to repeat.

Keep evidence current and tied to specific assets, accounts, and policies. Automated cloud monitoring can flag configuration changes, but periodic validation remains valuable for high-risk applications and internet-facing systems. Penetration testing adds further assurance by showing whether controls work in practice, not only on paper, especially when certified testers validate findings from automated assessments.

What Are the Common Cloud Security Threats?

Cloud environments change constantly. New accounts, workloads, APIs, containers, and integrations can appear within minutes, while outdated permissions and exposed services may remain active for months. This pace makes it difficult for security teams to maintain an accurate view of assets, access paths, and vulnerabilities.

Many cloud incidents begin with a preventable weakness, such as an exposed storage bucket, an overprivileged identity, an unpatched workload, or an insecure API. Effective protection combines secure configuration, strong identity controls, continuous monitoring, and regular security testing. The Google Cloud overview of cloud security identifies misconfiguration as a leading cause of cloud data breaches.

Prevent storage, network, and IAM misconfigurations

Misconfigured cloud resources can expose sensitive data or give attackers a direct path into your environment. Common examples include publicly accessible storage, open network ports, default passwords, disabled encryption, and security groups that permit more traffic than necessary. One incorrect setting can affect thousands of files, workloads, or customer records.

Create secure configuration baselines for every cloud provider and review them regularly. Remove public access unless it has a documented business purpose, restrict inbound and outbound traffic, enable encryption, and activate logging for critical resources. Use cloud security posture management tools to identify configuration drift, then validate whether exposed services are reachable or exploitable through targeted security testing.

Secure credentials, permissions, and accounts

Stolen credentials remain one of the most effective ways for attackers to enter a cloud environment. A compromised administrator account may let an intruder create users, access storage, change security settings, or move between workloads. Service accounts and machine identities create similar risks when they rely on long-lived keys or broad permissions.

Apply least privilege, require multifactor authentication, and remove inactive accounts promptly. Use short-lived credentials where possible, store secrets in a dedicated secrets manager, and review permissions according to actual usage rather than job titles alone. Identity and Access Management guidance explains how IAM supports controlled access to cloud resources and least-privilege practices.

Also separate administrative accounts from everyday user accounts. This reduces the chance that a stolen session or phishing attack will provide immediate access to sensitive controls. Monitor failed logins, unusual access locations, privilege changes, and activity outside normal working patterns. Automated access reviews can help teams identify dormant accounts and permissions that no longer match business needs.

Protect APIs and management interfaces

APIs connect cloud services, applications, partners, and internal tools, making them frequent targets. Weak authentication, excessive data exposure, missing rate limits, and broken authorization can allow an attacker to access another user’s records or perform unauthorized actions. Publicly exposed management interfaces are particularly dangerous because they may provide administrative control over infrastructure.

Protect every API with strong authentication and precise authorization checks. Validate inputs, limit request rates, remove unused endpoints, and separate administrative interfaces from public application traffic. Review access logs for unusual locations, request volumes, failed authorization attempts, and unexpected privilege changes. Cloud security best practices from Wiz recommend reviewing API settings, monitoring access logs, and investigating suspicious activity.

Test APIs from the perspective of different users and roles. A service may appear secure during a basic scan but still expose records when an attacker changes an account identifier or reuses a valid token. Include API inventories in your attack surface management process, and retest them whenever application logic, authentication flows, or cloud architecture changes.

Secure containers, code, serverless workloads, and supply chains

Cloud-native applications often depend on containers, open-source packages, infrastructure as code, and third-party services. A vulnerable library or compromised container image can move through a development pipeline and reach production quickly. Serverless functions can also expose data when event triggers, environment variables, or execution permissions are poorly configured.

Scan source code, dependencies, container images, and infrastructure definitions before deployment. Use trusted base images, sign and verify build artifacts, restrict pipeline permissions, and separate production workloads from development systems. Wiz recommends scanning container images and workloads, along with CI/CD checks and runtime protection.

Review software bills of materials, dependency versions, and package sources so teams can respond quickly when a component is affected by a newly discovered vulnerability. Limit what each function, container, and build process can access. Runtime monitoring should also identify unexpected processes, network connections, file changes, and privilege adjustments after deployment.

Defend against malware, ransomware, exfiltration, and DDoS

Cloud systems face familiar threats in new forms. Malware may spread across virtual machines or containers, ransomware can encrypt connected data, and attackers may quietly transfer sensitive information to an external location. Distributed denial-of-service attacks can overwhelm public applications, APIs, or network services, affecting customers and internal operations.

Reduce these risks with network segmentation, workload protection, immutable backups, and tested recovery procedures. Monitor large or unusual data transfers, unexpected encryption activity, and sudden changes to storage or access policies. Rate limiting, traffic filtering, content delivery services, and DDoS protection can help keep public services available. SentinelOne’s cloud security guidance covers the role of cloud security in data protection, access management, and audit trails.

Do not assume that a backup is usable until you test restoration. Keep recovery copies isolated from everyday administrative accounts, define recovery priorities, and record the steps needed to rebuild critical services. Regular penetration testing can also expose paths from internet-facing applications to sensitive cloud resources before an attacker uses them. Penti’s AI penetration testing combines continuous assessment with validation from certified manual penetration testers.

Reduce insider and third-party risks

Not every incident begins with an external attacker. Employees, contractors, developers, and service providers may expose data through unsafe sharing, weak passwords, incorrect permissions, or accidental uploads. A trusted account can also be misused intentionally, which makes activity monitoring and access reviews important parts of cloud defense.

Limit access to the data and systems each person needs, record administrative actions, and review privileged activity for unusual behavior. Establish clear rules for file sharing, personal cloud storage, remote access, and vendor connections. Use separate credentials for each service, require multifactor authentication, and remove access when a contract or role ends.

Before granting a third party access, assess its security controls, breach obligations, subcontractors, data handling practices, and access duration. Restrict vendor connections to the systems they need and review them after major changes. Regular training and a documented cloud data security policy can reduce mistakes while clarifying responsibilities across the organization.

What Challenges Affect Cloud Security?

Cloud security is challenging because cloud environments are designed to change quickly. New users, workloads, applications, APIs, and integrations can appear within minutes, while older resources may remain active long after they are needed. Security teams must protect this moving environment without slowing development or making everyday work unnecessarily difficult.

The challenge goes beyond selecting security software. Organizations also need an accurate asset inventory, clear ownership, consistent policies, skilled staff, and reliable compliance evidence. These pieces must work together so teams can identify exposure, understand its potential impact, prioritize remediation, and confirm that security controls continue to work as the environment changes.

Address limited visibility and shadow IT

Security teams cannot protect cloud assets they do not know exist. Developers may create containers, serverless functions, temporary databases, or testing environments outside established approval processes. Employees may also adopt software-as-a-service applications without involving IT or security, creating shadow IT and unknown connections to sensitive data.

This makes it harder to track systems, owners, permissions, data flows, and internet exposure. As Orca Security explains, the pace of cloud change can make visibility difficult to maintain. Continuous asset discovery helps teams identify unmanaged resources, connect them to accountable owners, and flag systems that lack required safeguards.

Manage temporary workloads and changing attack surfaces

Cloud workloads can appear, scale, and disappear rapidly. An application may create temporary compute instances during a deployment, expose a new API for a feature, or connect to an external service using an automatically generated credential. Each change can introduce a new entry point or alter the permissions available to an attacker.

Security checks that run only periodically may miss these short-lived exposures. Google Cloud explains that traditional tools may struggle to enforce policies across rapidly changing resources. Continuous monitoring, automated configuration checks, and security testing throughout the development lifecycle help teams identify weaknesses before temporary workloads create lasting risk.

Simplify multicloud environments and security tools

Several cloud providers can support resilience, performance, and business flexibility, but multicloud environments also create operational complexity. Each provider may use different identity systems, configuration settings, logging formats, and security controls. Teams must often track the same user, workload, or data set across several dashboards and environments.

Security tool sprawl adds another layer of difficulty. Overlapping scanners and disconnected alerts can obscure important findings instead of making them easier to address. A common security baseline, centralized visibility, and integrations between cloud platforms can reduce this friction. Teams should also review third-party applications and integrations, which Wiz identifies as potential sources of exposure alongside cloud misconfigurations.

Reduce skills gaps, alert fatigue, and human error

Cloud security requires knowledge of identity management, networking, containers, application security, data protection, and provider-specific controls. Few teams have deep expertise in every area. When staffing is limited, analysts may also face large volumes of alerts with little context, making it difficult to separate an urgent issue from a low-impact finding.

Human error can result in excessive permissions, exposed storage, weak credentials, or unsafe use of cloud services. A documented cloud security policy, supported by practical training, gives employees clear guidance for managing accounts and data. Automation can enforce routine safeguards, while risk-based prioritization directs attention to exploitable weaknesses affecting critical assets.

Manage data residency, vendor dependencies, and compliance evidence

Cloud data may be stored or processed across regions, providers, and subcontractors. Organizations need to understand where sensitive information resides, which vendors can access it, and how service changes, outages, or vendor failures could affect operations. These questions are especially important for regulated organizations with requirements for privacy, retention, access, and international data transfers.

Compliance requires more than written policies. Teams must show that controls operate consistently through evidence such as access reviews, vulnerability results, incident records, configuration history, and supplier assessments. Google Cloud notes that organizations need to identify assets, apply controls, map them to requirements, and document compliance on an ongoing basis. Automated evidence collection and clear control ownership make audits easier while exposing gaps early.

Which Cloud Security Tools Matter Most?

No single cloud security tool covers every risk. The right stack depends on your environment, the sensitivity of your data, and how quickly your assets change. A SaaS company may prioritize identity controls, API security, and application testing, while a healthcare or financial services organization may also need detailed audit trails, data loss prevention, and continuous compliance monitoring.

Start with visibility and control. Identify which assets exist, who can access them, what data they contain, and whether they are exposed to the internet. Then add tools that prevent common errors, detect suspicious activity, test real attack paths, and produce evidence for frameworks such as ISO 27001, SOC 2, PCI DSS, HIPAA, and NIST. Cloud security guidance commonly groups these capabilities into identity, data, posture, workloads, networks, monitoring, and vulnerability management.

The most effective approach is not to collect every tool available. Instead, connect tools so they share context. For example, a cloud security platform should help you understand when an exposed workload also has a known vulnerability, excessive permissions, and access to sensitive data. That context helps security teams focus on risks that could lead to a real incident.

Manage identities with IAM, SSO, MFA, and governance

Identity and Access Management (IAM) controls who can access cloud resources and what they can do. It applies authentication, authorization, and access policies, helping teams enforce least privilege across users, services, applications, and devices. Connect cloud accounts and business applications to a central identity provider through Single Sign-On (SSO). This gives employees one controlled login and makes access easier to revoke when someone changes roles or leaves the organization.

Require Multi-Factor Authentication (MFA), especially for administrator accounts, remote access, and sensitive applications. Review permissions regularly, and remove unused accounts, inactive credentials, and excessive privileges. Identity governance tools can automate joiner, mover, and leaver workflows, while Privileged Access Management can limit administrative access to approved tasks and time periods.

Do not overlook machine identities. Service accounts, API keys, tokens, and workload identities often have broad access and may remain active after their original purpose ends. Record ownership, set expiration dates, rotate credentials, and monitor unusual use. NIST’s digital identity guidelines provide a useful reference for authentication and identity assurance practices.

Protect data with encryption, keys, secrets management, and DLP

Data protection starts with knowing what information you store and where it moves. Classify sensitive data such as payment details, health records, customer identifiers, intellectual property, and authentication secrets. Apply encryption to data at rest and in transit, and understand which party controls each setting under your cloud provider’s shared responsibility model.

Key management services help create, store, rotate, and revoke encryption keys. Keep key access separate from routine application permissions, and log important key operations. Secrets management tools protect passwords, database credentials, certificates, and API tokens by keeping them out of source code, configuration files, and chat channels. Applications should retrieve secrets securely at runtime instead of storing them in repositories.

Data Loss Prevention (DLP) tools find, classify, and protect sensitive information across storage, applications, endpoints, and network traffic. Configure alerts for risky sharing, unusual downloads, and transfers to unauthorized destinations. The CIS Controls offer practical safeguards for data protection, account management, and secure configuration.

Manage posture and permissions with CSPM and CIEM

Cloud Security Posture Management (CSPM) tools identify misconfigurations, security gaps, and compliance violations across cloud accounts. They can flag public storage buckets, unrestricted firewall rules, missing encryption, exposed management ports, and disabled logging. The most useful platforms explain why each finding matters, identify the affected asset, and recommend a specific fix.

Set a baseline for each cloud environment, then continuously compare live configurations against it. Automate low-risk corrections where possible, but route changes involving production systems or sensitive data through an approval process. Track exceptions with an owner, business reason, expiration date, and review schedule.

Cloud Infrastructure Entitlement Management (CIEM) focuses on permissions and user entitlements. It compares granted access with actual usage to find unused or excessive privileges. Combining CSPM and CIEM gives security teams a clearer view of configuration and identity risk. A correctly configured resource can still be dangerous when too many users or workloads can reach it. The Cloud Security Alliance provides broader guidance for cloud governance and control responsibilities.

Protect cloud workloads with CWPP and CNAPP

Cloud Workload Protection Platforms (CWPP) protect virtual machines, containers, Kubernetes environments, serverless functions, and other workloads. Depending on the platform, capabilities may include malware detection, runtime monitoring, vulnerability assessment, host hardening, application control, and workload isolation. Choose coverage based on the technologies your teams actually run, not just the services listed in a product brochure.

Cloud Native Application Protection Platforms (CNAPP) combine several cloud security capabilities in one system, often including CSPM, CIEM, workload protection, container security, infrastructure-as-code scanning, and cloud detection and response. This shared context can help teams connect a vulnerable image, an exposed cloud resource, and an over-permissioned identity into one risk story.

Before selecting a CWPP or CNAPP, check how it handles temporary workloads. Short-lived containers and serverless functions may disappear before a traditional agent can inspect them. Look for API-based discovery, runtime visibility, developer integrations, and support for the cloud services in your architecture. NIST’s cloud computing resources can help teams evaluate cloud-native risks and control requirements.

Secure networks with WAF, API security, segmentation, and ZTNA

A Web Application Firewall (WAF) filters and monitors HTTP traffic before it reaches a web application. It can help block common attacks such as injection attempts, malicious request patterns, and automated abuse. Treat a WAF as one layer of defense, not a substitute for secure code, patching, authentication, or penetration testing. Tune rules carefully so legitimate users and business integrations are not blocked.

API security tools discover public, private, and shadow APIs, then assess authentication, authorization, rate limits, data exposure, and configuration issues. Maintain an inventory of API endpoints and remove abandoned versions. Test whether users can access another customer’s records by changing an identifier, since authorization failures can expose sensitive data.

Network segmentation limits movement between workloads, accounts, and environments. Keep development, testing, and production systems separate, and restrict east-west traffic to approved connections. Zero Trust Network Access (ZTNA) grants access based on identity, device state, context, and application need instead of network location. CISA’s Zero Trust Maturity Model offers a practical framework for planning this approach.

Detect threats with logging, SIEM, SOAR, and cloud monitoring

Security Information and Event Management (SIEM) platforms collect and analyze logs from cloud providers, identity systems, endpoints, applications, databases, and network controls. Send them useful events, including administrator activity, authentication failures, permission changes, key use, data access, and configuration updates. Define retention periods that support investigations and compliance requirements.

Cloud monitoring tools add context about resource health, performance, configuration changes, and suspicious behavior. Detection rules should identify patterns such as impossible travel, unusual privilege escalation, large data transfers, disabled security controls, and new access from unfamiliar locations. Test alerts regularly so teams know which signals require immediate action.

Security Orchestration, Automation, and Response (SOAR) tools connect detections to response workflows. They can enrich an alert, open a ticket, disable a compromised credential, isolate a workload, or notify the right owner. Automate predictable actions, but require human approval for destructive changes. The NIST incident response guidance can help teams connect monitoring tools with response procedures.

Find vulnerabilities with scanning and attack surface management

Vulnerability scanning checks cloud infrastructure, operating systems, containers, dependencies, code, web applications, and network services for known weaknesses and insecure configurations. Run scans continuously, especially after deployments or major architecture changes. Confirm that scanners can authenticate where appropriate, since unauthenticated checks may miss weaknesses inside applications and cloud environments.

Attack Surface Management (ASM) tools identify internet-facing assets, domains, subdomains, IP addresses, cloud services, exposed storage, and forgotten applications. They are especially useful for finding shadow IT and changes that never reach the central asset inventory. Pair discovery with ownership data so each finding reaches the team that can fix it.

Scanning alone does not show whether a weakness is exploitable or how it could affect the business. Use risk signals such as exploit availability, asset criticality, exposure, identity reach, and sensitive data access to set priorities. Penti’s AI penetration testing combines automated testing with validation by certified manual penetration testers, helping security teams assess real attack paths and produce actionable findings. After remediation, retest the affected asset and retain evidence of the result.

How Can You Protect Cloud Data, Apps, and Infrastructure?

Cloud security works best as an ongoing program, not a one-time configuration project. Every new account, workload, integration, deployment, and employee can change your exposure. A strong program combines clear ownership, secure defaults, continuous monitoring, vulnerability testing, and recovery procedures that teams have practiced in advance.

Start with visibility. You cannot protect assets you do not know about, and you cannot prioritize risks without understanding which systems hold sensitive data or support critical operations. From there, apply layered controls across identities, data, applications, infrastructure, and people. Wiz’s cloud security guidance highlights the same practical foundation: strong access controls, encryption, secure configurations, vulnerability management, monitoring, backups, and employee training.

The right approach depends on your architecture, regulatory obligations, risk tolerance, and agreements with cloud providers. Use the following steps as a framework, then adapt them to your environment and the responsibilities assigned to your organization under the shared responsibility model.

Inventory assets and classify sensitive data

Create a current inventory of cloud accounts, subscriptions, projects, virtual machines, containers, databases, storage buckets, APIs, serverless functions, domains, and third-party connections. Include development and testing environments, not just production. Record each asset’s owner, business purpose, environment, internet exposure, and operational importance.

Next, identify the data those assets store, process, or transmit. Classify customer records, payment data, health information, employee files, credentials, source code, and intellectual property according to sensitivity. Document where data is stored, who can access it, how long you retain it, and which regulations apply.

A documented cloud security policy can turn this inventory into a repeatable process. Define how teams register new resources, classify information, approve access, and retire unused services. Review the inventory regularly because automated deployments can create resources faster than manual reviews can detect them.

Enforce MFA, SSO, least privilege, and zero-trust access

Require multifactor authentication for every account. Use phishing-resistant methods, including passkeys, WebAuthn, or security keys, for administrators and other high-risk users. Connect cloud services to a central identity provider through single sign-on so you can apply consistent policies and disable access quickly when someone changes roles or leaves.

Apply least privilege by granting only the permissions a user, workload, or service needs for a defined task. Separate administrative accounts from everyday accounts, restrict production access, and use just-in-time elevation where possible. Review dormant users, shared accounts, service principals, and machine identities for unnecessary permissions.

Zero-trust access evaluates identity, device health, location, workload context, and the requested resource instead of assuming that anything inside the network is safe. Wiz recommends strong MFA for all accounts, particularly privileged ones, alongside regular permission reviews.

Protect data at rest, in transit, and in use

Encrypt sensitive data wherever it resides. Use provider-managed or customer-managed encryption for databases, object storage, disks, backups, and snapshots. Store encryption keys in a dedicated key-management service, restrict administrative access, separate key permissions from data permissions, and rotate keys according to your risk and compliance requirements.

Use TLS for connections between users, applications, APIs, databases, and cloud services. Disable outdated protocols and weak cipher suites, and automate certificate validation and renewal. Encryption does not replace access control, so combine it with strong authentication, careful permissions, tokenization, masking, and data-loss prevention rules.

Pay attention to data in use, too. Limit sensitive information in logs, temporary files, analytics platforms, and developer environments. For especially sensitive workloads, consider confidential computing or tokenized test data. Wiz’s encryption recommendations include secure key storage and regular key rotation.

Harden cloud configurations and infrastructure as code

Misconfigurations can expose storage, credentials, databases, network services, and management interfaces. Establish secure baselines for each cloud provider and service, then continuously check for public access, open ports, unused resources, excessive permissions, missing encryption, and disabled logging. Remove default credentials and turn off services you do not need.

Treat infrastructure as code as a security control. Store templates in version control, require peer review, scan them before deployment, and block unsafe changes from reaching production. Use policy as code to prevent conditions such as publicly readable storage or unrestricted administrative access.

Configuration standards should cover temporary testing accounts as well as production. Update the baseline when providers change services or teams add integrations. Regular cloud configuration reviews help identify exposed storage, broad permissions, and other weaknesses before attackers find them.

Secure code, containers, APIs, and serverless workloads

Protect the components that make cloud applications work. Scan source code for insecure patterns, dependencies for known vulnerabilities, and repositories for exposed secrets. Store credentials in a secrets manager rather than code repositories, configuration files, or container images.

Use trusted, minimal base images and scan container images before deployment. Sign images where possible, restrict registries, and remove unnecessary packages. At runtime, limit container privileges, isolate workloads, and monitor unusual behavior. Serverless functions also require careful permissions, dependency management, input validation, and limits on execution and data access.

APIs expose business logic directly, so require authentication, validate inputs, enforce authorization on every request, rate-limit abuse, and monitor unusual usage. Penti’s AI penetration testing assesses web applications, APIs, code, cloud environments, and networks, with findings validated by certified manual penetration testers.

Integrate security into the SDLC and CI/CD pipelines

Build security into planning, design, development, testing, deployment, and maintenance. During planning, document security requirements and privacy considerations. During design, review trust boundaries, data flows, authentication, authorization, and likely abuse cases. Threat modeling is most useful before implementation, when changes are still easier to make.

Add automated checks to CI/CD pipelines, including software composition analysis, static application security testing, secret detection, infrastructure-as-code scanning, container scanning, and dynamic application testing. Set clear failure conditions for critical findings, while giving developers specific remediation guidance rather than simply blocking builds.

Protect the pipeline itself with MFA, signed commits or artifacts where appropriate, restricted runner permissions, isolated build environments, and approval gates for production releases. Keep dependencies and build tools current. Wiz’s SDLC guidance recommends making security part of the normal development workflow instead of a final inspection after deployment.

Patch vulnerabilities and prioritize exploitable risks

Maintain an accurate view of vulnerabilities across operating systems, applications, dependencies, containers, managed services, and network devices. Track vendor advisories and relevant threat intelligence, then assign owners and remediation deadlines. Test patches in staging when practical, particularly when they affect critical production systems.

Do not prioritize findings by severity score alone. Consider whether an asset is internet-facing, whether exploit code exists, whether the vulnerability is actively exploited, what data or processes the asset supports, and whether compensating controls reduce the risk. A medium-severity issue on an exposed identity service may require faster action than a critical issue on an isolated test system.

Continuous exposure assessment connects vulnerabilities to realistic attack paths. Penti’s platform combines AI-driven detection and risk prioritization with certified human validation, helping teams focus on weaknesses attackers could use. Retest affected assets after remediation and retain evidence of the result.

Back up cloud data and test recovery

Back up critical databases, files, configurations, secrets, infrastructure templates, and business records according to documented recovery objectives. Use versioning and immutable storage where appropriate, and keep backup credentials separate from everyday administration. Store copies in separate accounts, regions, or locations so one compromise does not affect every copy.

A backup strategy is incomplete until restoration has been tested. Schedule recovery exercises that verify data integrity, application dependencies, permissions, and restoration time. Test individual file recovery as well as full workload recovery, including scenarios involving a lost cloud region or compromised account.

Document recovery runbooks in language responders can follow under pressure. Define who approves restoration, how teams communicate, how credentials are recovered, and how evidence is preserved. Record failures from each exercise and fix them. Regular testing provides stronger assurance than assuming backups will work during an incident.

Monitor continuously and review access regularly

Collect logs from identity providers, cloud control planes, applications, databases, endpoints, network services, and security tools. Centralize important events in a tamper-resistant location and define retention periods according to operational and regulatory requirements. Logs should identify the user or workload, action, resource, time, and outcome.

Create alerts for suspicious logins, impossible travel, repeated authentication failures, privilege changes, unusual data access, exposed resources, unexpected network traffic, and changes to security controls. Route alerts to people who can investigate them, then tune detection rules to reduce noise without hiding meaningful activity.

Review access on a schedule and after role changes, project completion, acquisitions, and incidents. Ask asset owners to confirm that each permission remains necessary. Monitor machine identities as carefully as human accounts because service credentials can retain broad access long after their original purpose ends.

Train teams and enforce security policies

Clear policies give employees and technical teams practical direction for using cloud services. Cover approved services, acceptable data handling, access requests, MFA requirements, secrets management, logging, incident reporting, remote access, vendor use, and secure disposal. Make ownership clear so staff know who approves exceptions and responds to suspected incidents.

Training should match each person’s responsibilities. Developers may need guidance on secure APIs, dependency risks, and secret storage. Administrators need practice with privileged access and incident response. Employees handling sensitive data need to recognize phishing, unsafe sharing, and accidental disclosure. Include contractors and suppliers when they can access systems or information.

Measure whether training changes behavior through access review results, policy exceptions, phishing exercises, and incident trends. Update policies after architecture changes, new regulations, and lessons from recovery exercises. A documented cloud data security policy supported by regular training helps teams make safer decisions before a small mistake becomes a serious cloud security incident.

How Do ISO 27001 and GDPR Apply to Cloud Security?

ISO 27001 and GDPR address different aspects of cloud security, but they work well together. ISO 27001 provides a structured way to identify, treat, and continually review information security risks. GDPR focuses on protecting personal data and preserving the rights of the people whose information your organization processes.

Together, they help security teams move beyond isolated technical controls. You can use ISO 27001 to build a repeatable security management system, then apply GDPR requirements to personal data, privacy risks, processing activities, and individual rights.

Start by documenting your cloud environment. Record your accounts, regions, applications, storage services, identities, integrations, suppliers, and data flows. Then assess risks such as exposed assets, excessive permissions, insecure APIs, weak supplier controls, and vulnerable internet-facing systems. Continuous cloud security testing can help validate whether these weaknesses are exploitable and whether remediation has reduced the risk.

Cloud compliance is not a once-a-year exercise. Services, configurations, code, users, and attack surfaces change constantly. Regular access reviews, vulnerability assessments, penetration testing, supplier reviews, and evidence collection help show that your organization manages cloud risk on an ongoing basis.

Build an ISO 27001 ISMS around cloud risk

ISO 27001 requires an information security management system, or ISMS, that establishes, maintains, and continually improves your security program. For cloud environments, the ISMS should cover infrastructure, applications, data, identities, suppliers, and operational processes.

Begin by defining the ISMS scope. Include the cloud accounts, regions, services, teams, and third parties that support your business. Create an asset inventory and risk register that covers threats such as exposed storage, excessive permissions, insecure APIs, unpatched systems, and weak supplier controls.

Connect each risk to a business impact and treatment decision. Your organization may reduce, transfer, avoid, or accept the risk, but every decision should have an owner, target date, and review schedule. ISO’s overview of ISO/IEC 27001 provides useful context on the standard’s risk-based approach to information security management.

Select and document relevant Annex A controls

ISO 27001 Annex A provides a reference set of security controls. Your organization does not automatically need to implement every control. Select controls according to your risk assessment, legal obligations, customer commitments, and cloud operating model.

A SaaS provider may need controls for identity management, secure development, configuration management, supplier relationships, logging, vulnerability management, and data protection. Organizations handling payment or health information may need additional safeguards for encryption, retention, availability, and incident response.

Document your decisions in a Statement of Applicability. Explain which controls apply, why they apply, their implementation status, and where supporting evidence is stored. Link each control to policies, technical safeguards, test results, and accountable owners. This gives auditors a clear trail and helps your security team identify gaps before an assessment.

Maintain audit trails, access reviews, supplier oversight, and improvement

Cloud security evidence should show that controls work in practice, not simply that policies exist. Retain records for authentication, administrative activity, configuration changes, data access, vulnerability remediation, and security incidents. Protect logs from unauthorized changes and define retention periods based on business, legal, and security needs.

Review access regularly, with extra attention to privileged accounts, service identities, contractors, and employees who change roles. Remove unnecessary permissions promptly, then record the review, decision, and approver. Tools can compare assigned access with actual usage, but sensitive access decisions still need informed human oversight.

Supplier governance also belongs in the ISMS. Assess cloud providers and critical vendors before onboarding, review their security documentation, and include security, audit, and incident notification requirements in contracts. Use incidents, test results, audit findings, and remediation metrics to improve the program. Info-Tech’s guidance on security policies also emphasizes audit trails, access reviews, supplier oversight, and continual improvement.

Define GDPR responsibilities for controllers, processors, and providers

GDPR responsibilities depend on the role an organization plays in processing personal data. A controller determines why and how data is processed. A processor handles data on behalf of a controller. A cloud provider may act as a processor, although its role depends on the service and how it handles customer information.

Document these roles for every processing activity. Identify the data involved, the purpose of processing, the systems used, the parties with access, the legal basis, and the applicable retention period. Processor agreements should address confidentiality, security measures, subprocessors, data subject requests, breach notification, deletion or return of data, and audit rights.

Using a major cloud provider does not transfer every compliance duty to that provider. Customers remain responsible for secure configurations, identity management, data governance, and verifying that safeguards operate effectively. The European Commission’s GDPR guidance explains the broader responsibilities organizations have when processing personal data.

Apply GDPR Article 32 security measures

GDPR Article 32 requires technical and organizational measures appropriate to the level of risk. The right safeguards depend on the type and volume of personal data, the potential harm to individuals, and the likelihood of unauthorized access, alteration, loss, or disclosure.

Common measures include encryption at rest and in transit, pseudonymization, strong authentication, least-privilege access, secure key management, network segmentation, protected backups, and tested recovery procedures. Cloud teams should also secure administrative interfaces, limit public exposure, monitor suspicious activity, and review configurations regularly.

Article 32 also requires regular testing, assessment, and evaluation of security measures. Vulnerability scanning can identify known weaknesses, while penetration testing can demonstrate whether attackers could exploit them. Combining automated analysis with certified manual validation provides more useful evidence than relying on either approach alone. Review the official GDPR text for the full wording of Article 32.

Use privacy by design, data minimization, retention limits, and DPIAs

Privacy by design means addressing data protection before launching a product, feature, integration, or cloud workflow. Add privacy requirements to architecture reviews, development standards, procurement processes, and change management.

Collect only the personal data needed for a defined purpose. Limit form fields, restrict internal access, and avoid copying production data into development or test environments without a clear justification and appropriate safeguards. Pseudonymized or synthetic data can reduce exposure during development and quality assurance.

Set retention periods for each data category and automate deletion where practical. A data protection impact assessment, or DPIA, may be necessary when processing is likely to create a high risk to individuals, including large-scale monitoring or the use of sensitive information. The European Data Protection Board’s DPIA guidance can help teams determine when an assessment is appropriate.

Manage data rights, DPO duties, and processing records

Cloud architecture should support data subject rights, including access, correction, deletion, restriction, portability, and objection. These requests become difficult when personal data is distributed across databases, backups, logs, analytics platforms, SaaS tools, and third-party systems.

Create a documented process for locating, reviewing, exporting, correcting, and deleting personal data. Define who validates requests, who approves actions, and how your team records the response. Make sure deletion workflows account for replicas, caches, backups, and subprocessors.

If your organization must appoint a Data Protection Officer, define the DPO’s responsibilities and independence. The DPO may advise on privacy risks, monitor compliance, support training, and communicate with regulators. Maintain records of processing activities that describe purposes, data categories, recipients, retention periods, safeguards, and international transfers.

Control data residency and international transfers

Identify where personal data is collected, stored, processed, backed up, and accessed. Cloud providers may replicate data across regions or permit support personnel in other countries to access systems. Review these flows before selecting services or deploying workloads.

Set location requirements based on GDPR obligations, customer contracts, industry rules, and internal policy. Use provider region controls, storage policies, identity restrictions, and contractual safeguards to limit unnecessary transfers. Review subprocessors and confirm whether they can move or access data outside approved locations.

International transfers require an appropriate legal mechanism and a documented assessment of the risks involved. Depending on the circumstances, safeguards may include an adequacy decision, standard contractual clauses, or another lawful mechanism. Keep transfer assessments and supporting records with your compliance documentation. The European Commission’s guidance on international data transfers explains the main options.

Prepare for GDPR breach detection and notification

Your incident response plan should explain how the organization detects, investigates, contains, and reports personal data breaches. Define what qualifies as a breach, who assesses the risk, which systems provide evidence, and when legal, privacy, security, and communications teams must be involved.

Controllers generally must notify the relevant supervisory authority within 72 hours of becoming aware of a reportable personal data breach, unless the breach is unlikely to create a risk to individuals. Processors should notify controllers without undue delay under their agreement and applicable requirements. Contracts should make timelines, responsibilities, and communication channels clear.

Prepare playbooks for exposed credentials, unauthorized access, public storage, ransomware, data exfiltration, and compromised suppliers. Run tabletop exercises so teams can practice decisions under pressure. Preserve logs, snapshots, access records, and other evidence while containing the incident, then document the reasoning behind notification decisions.

Map controls to SOC 2, PCI DSS, HIPAA, NIST, and CMMC

Organizations often need to meet several frameworks at once. Create a crosswalk that maps shared controls to ISO 27001, SOC 2, PCI DSS, HIPAA, NIST, and CMMC where relevant. This approach reduces duplicated work and gives teams one view of control ownership and evidence.

For example, one access management process may support ISO 27001 access requirements, SOC 2 logical access criteria, PCI DSS account safeguards, HIPAA access controls, and NIST identity guidance. Centralized evidence may include MFA policies, access review records, vulnerability reports, incident response exercises, encryption settings, and supplier assessments.

A framework crosswalk does not make every requirement interchangeable. Confirm the scope, terminology, evidence standards, and sector-specific obligations for each framework. The NIST Cybersecurity Framework offers a practical structure for organizing governance, identification, protection, detection, response, and recovery activities across your cloud environment.

How Should You Test, Respond to, and Recover from Cloud Threats?

Cloud security testing should reflect how quickly your environment changes. New workloads, code releases, identities, APIs, and third-party integrations can create exposure between scheduled assessments. Continuous scanning helps identify configuration drift and newly exposed assets, while penetration testing shows whether an attacker could chain weaknesses into a real compromise. Using both methods provides broader coverage than either approach alone. Continuous monitoring and regular assessments can strengthen both prevention and recovery planning.

Your response plan should connect technical findings to business decisions. Teams need to know which assets matter most, who owns each control, how to contain an incident, and how to restore services safely. Testing should produce practical evidence that helps security teams fix weaknesses, demonstrate compliance, and verify that remediation worked.

Combine continuous scanning with penetration testing

Continuous scanning checks cloud accounts, configurations, workloads, dependencies, and internet-facing assets for known weaknesses. It can identify exposed storage, overly permissive security groups, unpatched images, vulnerable dependencies, and configuration drift. Because scans run regularly, they can find changes sooner than an annual security assessment.

Penetration testing adds context that automated scanning cannot always provide. A skilled tester attempts to exploit weaknesses, connect separate findings, and determine what an attacker could reach. Use scanning for broad, recurring coverage, then schedule penetration tests for critical applications, major architecture changes, compliance requirements, and high-risk findings. This combination follows the cloud security practice of continuous monitoring while adding practical validation of exploitability.

Test cloud infrastructure, web apps, code, and networks

A cloud penetration test should cover more than the virtual machines or cloud accounts hosting an application. Test the infrastructure, identity controls, storage, networking, APIs, web applications, source code, containers, and serverless functions that support the service. A weakness in one layer may provide a path into another, particularly when permissions are broad or environments share credentials.

Define the scope before testing begins. Identify production and nonproduction assets, approved testing windows, sensitive data boundaries, and actions testers must avoid. Include external and authenticated testing where appropriate. Then use the findings to fix weaknesses and retest them. Cloud security guidance from Wiz recommends treating penetration testing and remediation as connected activities, rather than treating testing as a one-time report.

Assess changing environments and internet-facing attack surfaces

Cloud environments change as teams deploy services, open temporary endpoints, add integrations, and adjust access policies. An asset that was not exposed during a previous review may become reachable from the internet after a configuration change. Without a current inventory, security teams may not know which domains, APIs, cloud resources, or accounts need attention.

Use attack surface management to track internet-facing assets and identify unexpected exposure. Connect discovery data with cloud accounts, code repositories, vulnerability scanners, and ownership records. Review new subdomains, open ports, public storage, expired certificates, abandoned services, and recently changed access policies. Cloud security research from Orca Security highlights how difficult it can be to maintain an accurate inventory as cloud environments and risks evolve.

Use agentic AI penetration testing with certified human validation

Agentic AI penetration testing can help security teams assess large, changing environments more frequently. AI-driven testing can discover assets, map attack paths, run repeatable checks, and prioritize potential weaknesses. It can also shorten the time between a deployment and a meaningful security assessment, which is valuable for SaaS companies and teams with frequent releases.

Automation should support, not replace, expert judgment. Certified manual penetration testers can validate important findings, investigate complex business logic, and confirm whether a weakness is exploitable in context. Penti combines AI penetration testing with certified human validation across cloud environments, applications, code, websites, and networks. This approach combines automated coverage with the reasoning and verification that high-impact findings require.

Prioritize findings by exploitability, asset criticality, and business impact

A long list of vulnerabilities does not tell your team what to fix first. Start by asking whether a finding is exploitable, whether it affects an internet-facing or privileged asset, and what an attacker could access after exploitation. A medium-severity issue on a critical production system may deserve attention before a higher-scored issue on an isolated test resource.

Consider attack paths, active runtime exposure, sensitive data, account privileges, business processes, and regulatory obligations. Findings that enable account takeover, remote code execution, data access, or lateral movement usually require urgent review. Wiz recommends focusing on vulnerabilities exploitable in active runtime environments, rather than relying on severity scores alone. Assign an owner and deadline to every priority finding, then track it through remediation.

Create actionable reports and verify remediation

A useful report gives engineers enough detail to reproduce and fix an issue. Include the affected asset, evidence, attack path, business impact, severity, recommended fix, and clear ownership. Screenshots, request and response details, affected versions, and safe proof-of-concept steps can make findings easier to understand without exposing unnecessary sensitive information.

After remediation, verify the fix through rescanning or retesting. Confirm that the original weakness is closed, that the change did not create a new exposure, and that related assets have received the same control. Keep a record of the finding, decision, fix, validation result, and closure date. Regular reviews of access logs, security baselines, and unusual activity can also show whether controls continue to work, as recommended in Orca Security’s cloud security guide.

Prepare incident response playbooks and tabletop exercises

A cloud incident response plan should explain what happens from the first alert through recovery. Define roles for security, IT, engineering, legal, privacy, communications, and business leadership. Document escalation paths, cloud provider contacts, evidence-handling procedures, approval requirements, and communication channels that remain available if normal systems are affected.

Create playbooks for likely scenarios, including a compromised administrator account, exposed credentials, ransomware, data exfiltration, vulnerable internet-facing software, and a cloud service outage. Then test those playbooks through tabletop exercises. Ask participants to make decisions using realistic timelines and incomplete information. Cloud security policy guidance from Rippling recommends including a detailed incident response playbook. Exercises can reveal unclear ownership, missing access, and procedures that are difficult to follow under pressure.

Contain threats, restore services, preserve evidence, and meet reporting duties

During an incident, containment should limit damage without destroying evidence. Depending on the situation, actions may include disabling compromised credentials, revoking tokens, isolating workloads, blocking malicious traffic, restricting network paths, and pausing risky deployments. Record who approved each action and when it occurred. Preserve relevant logs, snapshots, cloud audit trails, memory captures, and forensic images according to your evidence procedures.

Begin recovery after the team understands the scope and removes the attacker’s access. Restore from clean, tested backups, rotate exposed secrets, rebuild affected workloads when necessary, and monitor closely for recurring activity. Confirm that systems and data are complete before returning them to normal operation. Review contractual, regulatory, and customer notification duties with legal and privacy teams. Wiz recommends breach simulations involving security, IT, legal, and communications teams, then using the results to improve the incident response plan.

What Cloud Security Technologies and Trends Should You Watch?

Cloud environments change constantly. New workloads appear, identities multiply, development teams release code continuously, and sensitive data moves between services. A strong cloud security program must do more than protect a fixed network perimeter. It needs to understand what exists, identify meaningful exposure, test whether controls work, and help teams respond before a weakness becomes an incident.

The technologies below support that approach. Zero trust limits access based on verified identity and context. AI helps teams analyze large volumes of security data and prioritize risks. CNAPP platforms connect posture, workload, identity, and compliance insights, while continuous attack surface management shows how an organization appears from an attacker’s perspective.

The most effective programs combine these capabilities. For example, an organization might use infrastructure-as-code checks to prevent a risky deployment, identity controls to restrict access, runtime monitoring to detect suspicious behavior, and penetration testing to validate whether an attacker could still exploit the environment.

Apply zero trust to cloud identities and workloads

Zero trust assumes that no user, device, workload, or network location should receive automatic trust. Each access request should be evaluated using signals such as identity, device health, workload context, resource sensitivity, and the requested action.

In practice, this means enforcing least-privilege permissions, requiring strong authentication, segmenting workloads, and reviewing access continuously. A developer may need access to a test database but not production customer records. A production service may need to call one API, but it should not have broad access to an entire cloud account.

Zero trust works best when security policies are managed through code and applied consistently across environments. Accenture’s zero-trust cloud security case study shows how alerts, automated policies, and security controls can help organizations maintain compliance as cloud environments change.

Use AI-driven detection and agentic security testing

AI can help security teams make sense of the volume and speed of cloud activity. It can identify unusual behavior, connect related alerts, understand relationships between assets, and prioritize weaknesses according to likely business impact. This is especially useful when teams face thousands of findings but have limited time to investigate them.

Agentic security testing extends this capability to penetration testing. Rather than simply listing known vulnerabilities, an agentic system can reason through attack paths, test how weaknesses connect, and explore an environment in a controlled way. The goal is to identify practical routes to compromise, not just produce a long list of technical observations.

Penti combines AI penetration testing with validation from certified manual penetration testers. This approach helps organizations assess cloud infrastructure, applications, code, websites, and networks more frequently while keeping human expertise involved in confirming important findings.

Combine CNAPP with cloud-native runtime protection

A cloud-native application protection platform, or CNAPP, brings multiple cloud security capabilities into one coordinated view. Depending on the platform, these capabilities may include cloud security posture management, cloud workload protection, cloud infrastructure entitlement management, vulnerability management, compliance monitoring, and application security.

CNAPP is valuable because it connects risks that may appear separate in different tools. For example, a vulnerable workload may be publicly exposed, running with excessive permissions, and connected to sensitive data. Viewing these relationships together helps teams assess the issue more accurately and determine which weaknesses require attention first.

Runtime protection adds another layer by monitoring workloads while they operate. It can identify suspicious processes, unexpected network connections, unauthorized changes, and signs of exploitation. Orca Security’s cloud security guide explains how CNAPP can cover misconfigurations, identity risks, vulnerabilities, workloads, APIs, data, and compliance. Runtime controls help determine whether those risks are being exploited in production.

Shift security left in CI/CD and infrastructure as code

Security checks should happen before cloud resources and applications reach production. Adding controls to CI/CD pipelines and infrastructure-as-code workflows helps teams identify insecure configurations during development, when changes are easier and less expensive to fix.

Useful checks can detect exposed storage, overly broad permissions, hardcoded secrets, vulnerable dependencies, unsafe container settings, and publicly accessible management interfaces. Teams can also define approved policies for network access, encryption, logging, and identity permissions, then block deployments that violate those rules.

Shifting security left does not mean transferring every security responsibility to developers. It means giving development teams fast feedback, clear remediation guidance, and reusable secure patterns. The Wiz cloud security best practices recommend building security into the full software development lifecycle instead of waiting until after deployment.

Monitor attack surfaces and exposure continuously

A cloud attack surface includes internet-facing applications, APIs, domains, IP addresses, cloud services, exposed storage, remote access paths, and assets that teams may not know exist. These assets can appear or change at any time, so an annual assessment may leave significant gaps between reviews.

Continuous attack surface management helps identify new assets, changes in exposure, unexpected services, and risky relationships between systems. It should also show which assets matter most, including systems that process payment data, support authentication, or connect to internal production environments.

Monitoring should include alerts for unusual logins, unauthorized access, suspicious traffic, and critical configuration changes. Wiz’s cloud security guidance emphasizes continuous visibility and alerting as practical ways to detect changes before they become larger security problems. Penetration testing can then validate whether exposed assets are actually exploitable.

Secure human and machine identities

Identity and access management applies to more than employees. Cloud environments also depend on service accounts, API keys, workloads, containers, automation tools, and machine-to-machine connections. Each identity can become an attack path if it has excessive permissions or remains active after it is no longer needed.

For human users, organizations should use single sign-on, phishing-resistant multifactor authentication, role-based access, just-in-time privileges, and regular access reviews. Privileged accounts should receive additional monitoring and should not be used for routine work.

Machine identities require the same attention. Teams should inventory service accounts, remove unused credentials, rotate secrets, limit permissions, and avoid long-lived keys wherever possible. Google Cloud’s explanation of IAM provides a useful foundation: IAM determines who can access resources and what actions they can perform. That principle applies equally to people and automated systems.

Protect AI workloads, model endpoints, and APIs

AI systems create familiar cloud risks, along with new ones. Sensitive training data may be exposed through storage or logging. Model endpoints may be abused through unauthorized requests, prompt injection, data extraction, or excessive resource consumption. Third-party packages and models can also introduce supply chain weaknesses.

Start by classifying the data used to train, test, and operate AI systems. Restrict access to models and datasets, secure secrets, log administrative actions, and apply rate limits to model endpoints. APIs should use strong authentication, input validation, authorization checks, and monitoring for unusual request patterns.

Security teams should also review how models connect to tools, databases, and other services. A model with permission to perform actions needs tightly scoped access and clear approval boundaries. Orca Security’s guidance on AI and cloud security recommends protecting AI models, data, packages, and dependencies while using AI to improve detection and access control.

Automate compliance monitoring and response

Manual compliance reviews are difficult to maintain when cloud resources change every day. Automated monitoring can continuously check configurations, permissions, encryption, logging, retention, and other controls against internal policies or external frameworks.

Automation should do more than report a failing control. It should identify the affected asset, explain the risk, assign ownership, preserve evidence, and recommend or perform an approved fix. For example, a policy could alert the cloud owner when a storage bucket becomes public, open a remediation ticket, and record when access was removed.

Compliance automation also supports frameworks such as ISO 27001, SOC 2, PCI DSS, HIPAA, GDPR, NIST, and CMMC. It can collect configuration records, access reviews, test results, and remediation history in one place. Orca Security recommends automating compliance risk identification, monitoring, reporting, and remediation, giving teams a consistent evidence trail and reducing the work required for recurring audits.

How Can You Build a Cloud Security Program?

A cloud security program gives your organization a repeatable way to protect data, applications, identities, and infrastructure as they change. It connects technical safeguards with business priorities, regulatory requirements, and the responsibilities shared by cloud providers, employees, developers, and vendors.

Start with visibility. You cannot protect assets you cannot identify, and cloud environments often contain forgotten workloads, temporary resources, exposed storage, overprivileged accounts, and unmanaged software. Build a current inventory, understand how systems connect, and identify which assets could create the greatest business impact if compromised.

Next, define ownership and establish a practical security baseline. Your program should explain who manages access, encryption, logging, vulnerability remediation, backups, incident response, and compliance evidence. It should also set clear priorities, so teams address the most exposed and valuable systems first.

Automation can make these processes more consistent, but tools alone will not create an effective program. You also need meaningful performance measures, regular testing, vendor oversight, and security leadership. Review the program whenever your cloud environment, business operations, or compliance obligations change.

Assess cloud assets, identities, data, and attack surfaces

Begin with a complete inventory of your cloud environment. Include virtual machines, containers, serverless functions, databases, storage buckets, APIs, SaaS applications, workloads, service accounts, human identities, and connected third-party services. Record who owns each asset, where it runs, what data it handles, and how it connects to other systems.

Your inventory should highlight internet-facing services and paths that could lead to sensitive data or critical applications. Look for forgotten resources, exposed interfaces, excessive permissions, and unmanaged dependencies. Tools that connect assets, vulnerabilities, identities, and attack paths provide more useful context than isolated alerts. Cloud asset visibility helps teams understand which weaknesses deserve immediate attention.

Assign ownership through the shared responsibility model

Cloud providers protect parts of the underlying infrastructure, but your organization remains responsible for securing its data, applications, identities, configurations, and workloads. The exact division depends on whether you use infrastructure, platform, or software as a service.

Document these responsibilities for every major cloud service. Assign owners for access controls, encryption, logging, vulnerability management, backups, incident response, and compliance evidence. Include developers, IT teams, security staff, legal stakeholders, and service providers when their work affects risk. IBM’s explanation of shared cloud security responsibilities offers a useful starting point for clarifying these boundaries.

Also document what your provider does not cover. A provider may secure the physical data center and core platform while your team remains responsible for a misconfigured storage bucket, exposed API, or overly permissive identity. Clear ownership prevents gaps from being mistaken for someone else’s responsibility.

Establish a risk-based cloud security baseline

A baseline defines the minimum security standard for your cloud accounts, networks, workloads, identities, and data. It may include MFA, least-privilege access, encryption, centralized logging, secure configurations, vulnerability remediation, backups, and approved regions or services.

Align the baseline with your organization’s risk tolerance and relevant frameworks, such as ISO 27001, NIST, SOC 2, PCI DSS, HIPAA, or CMMC. Set measurable requirements, identify exceptions, and define how teams request approval when they cannot meet a control.

Treat the baseline as a living document rather than a one-time policy. Review it at least twice a year, and update it after major changes to your environment, threats, business operations, or compliance obligations. Cloud security policy guidance can help structure this process.

Secure high-risk, internet-facing, and critical assets first

Security teams rarely have enough time to fix every issue immediately. Prioritize systems that are publicly accessible, connected to sensitive data, essential to operations, or likely to provide access to other valuable resources.

Combine vulnerability severity with exploitability, asset importance, exposure, and attack-path context. A moderate weakness on an isolated development server may deserve less attention than a similar issue on an internet-facing production application. Review external exposure regularly, especially after deployments or infrastructure changes.

Add stronger monitoring and tighter controls to critical workloads. These may include runtime protection, restricted administrative access, network segmentation, tested backups, and incident response playbooks. This approach helps teams focus effort where a compromise could cause the greatest operational, financial, or regulatory harm.

Automate prevention, detection, testing, and compliance evidence

Automation can enforce secure configurations, identify exposed assets, monitor permissions, scan code and workloads, and alert teams when controls drift. Use policy-as-code and infrastructure-as-code checks to catch issues before deployment, then continue monitoring after resources reach production.

Connect alerts to clear owners and remediation workflows. Automated evidence collection can also preserve configuration records, scan results, access reviews, and testing reports for audits. This reduces manual effort and makes it easier to show that controls operate consistently.

Automated testing should work alongside human review. Penti’s AI penetration testing can assess changing attack surfaces across cloud environments, applications, code, websites, and networks. Certified manual penetration testers can validate important findings, while automated reports help teams prioritize remediation and prepare compliance evidence.

Measure coverage, exposure, detection, and remediation times

Metrics show whether your cloud security program is improving or simply generating more activity. Track the percentage of assets inventoried, workloads covered by monitoring, accounts protected with MFA, critical findings remediated, and cloud resources meeting baseline requirements.

Measure exposure and response as well. Useful indicators include mean time to detect, mean time to remediate, patch compliance, unresolved internet-facing vulnerabilities, and the age of critical findings. Track recurring misconfigurations to identify process or ownership problems rather than treating every alert as an isolated event.

Review results by business unit, cloud account, application, and asset owner. The cloud security metrics guidance from Wiz includes MTTD, MTTR, and patch compliance as practical measures. Set targets that reflect your risk profile, then review trends over time.

Evaluate providers, vendors, and data-processing agreements

Your cloud risk extends beyond services managed directly by your team. Before approving a provider or vendor, review its security certifications, independent audit reports, incident history, access practices, encryption controls, backup approach, and vulnerability management process.

Examine where the provider stores and processes data, which subcontractors it uses, and how it supports deletion, breach notification, access requests, and service termination. Confirm that its resilience and recovery commitments match your business requirements.

Data-processing agreements should define security obligations, audit rights, confidentiality requirements, international transfer mechanisms, and responsibilities during an incident. Reassess important vendors periodically, especially when they introduce new services, change subprocessors, or alter how they handle your data.

Add security leadership or virtual CISO support when needed

Some organizations have strong technical teams but lack dedicated security leadership. Without clear direction, security decisions can become reactive, inconsistent, or disconnected from business priorities. A security leader can set priorities, approve risk decisions, coordinate teams, and communicate security status to executives, customers, and auditors.

If hiring a full-time CISO is not practical, a virtual CISO can provide strategic guidance, policy development, risk assessments, compliance planning, vendor reviews, and incident preparedness. This support can also help turn technical findings into business decisions, such as whether to accept, transfer, reduce, or eliminate a specific risk.

The right advisor should involve the people who use and manage your systems, not just the security function. Policies work better when they reflect real business requirements and practical workflows. Ask for clear deliverables, regular reporting, and measurable priorities so external support strengthens internal accountability.

Reassess cloud security as your environment changes

Cloud security is an ongoing process because your environment changes constantly. New accounts, applications, vendors, regions, identities, APIs, and data flows can introduce risk without a formal security review. Define triggers that require reassessment, such as a major migration, acquisition, new regulated data, material architecture change, critical vulnerability, or provider change.

Schedule regular reviews as well as event-based assessments. Compare your current inventory with approved architecture, confirm that access remains appropriate, and test whether monitoring, backup, and recovery controls still work. Include security reviews in change management, procurement, and development workflows.

Continuous attack surface management can help identify newly exposed assets and changing relationships before they become overlooked gaps. Reassess findings after remediation, too. A closed ticket does not always mean the underlying exposure has disappeared, especially when cloud resources, permissions, or application code continue to change.

Frequently Asked Questions

What is cloud security?
Cloud security is the combination of policies, tools, processes, and testing used to protect cloud-based data, applications, identities, workloads, and infrastructure. It addresses risks such as exposed storage, stolen credentials, vulnerable APIs, insecure code, and unauthorized access across public, private, hybrid, and multicloud environments.

Who is responsible for cloud security?
Cloud security follows a shared responsibility model. Cloud providers protect the physical facilities, hardware, and core infrastructure supporting their services. Customers remain responsible for securing their data, accounts, identities, applications, configurations, permissions, and workloads. The exact division depends on whether the organization uses IaaS, PaaS, or SaaS.

What are the most common cloud security risks?
Frequent risks include misconfigured storage and networks, excessive permissions, stolen credentials, vulnerable applications, exposed APIs, insecure containers, weak third-party integrations, and unmonitored cloud assets. These issues can lead to data theft, account takeover, service disruption, or unauthorized movement between connected systems.

How often should cloud environments be tested?
Cloud environments should be monitored continuously and tested whenever major changes occur, such as new deployments, architecture updates, integrations, or identity changes. Automated scanning provides recurring coverage, while penetration testing validates whether weaknesses can be chained into meaningful attack paths. Combining AI-driven testing with certified manual validation offers both scale and expert review.

Which cloud security standards may apply to an organization?
The applicable standards depend on the organization’s industry, data, customers, and locations. Common examples include ISO 27001, SOC 2, PCI DSS, HIPAA, GDPR, NIST, and CMMC. Security teams should map controls to each relevant standard, assign ownership, collect evidence, and reassess controls as cloud services and business requirements change.