Advance your security maturity with Red Hat OpenShift

Kubernetes has transformed how applications are built and deployed. At the same time it introduces new layers of security complexity. Without clear guidance, teams often face overwhelming choices and risks: container misconfigurations, weak access controls, or gaps between development and security practices. These issues are especially difficult for organizations in regulated industries, where audits and compliance checks demand consistency and being wrong and incomplete can lead to heavy fines and service outages.

Red Hat® OpenShift® simplifies these Kubernetes challenges by consolidating critical capabilities into a single integrated platform. It is built on Red Hat Enterprise Linux® CoreOS, a purpose-built operating system for Kubernetes that is stripped down to include only what is needed. This operating system works immutably, using a read-only file system design, meaning the underlying components cannot be easily altered. By preventing unauthorized or accidental changes from persisting, immutability lowers the risk of attackers embedding themselves in the system.

Combined with built-in role-based access control (RBAC), network segmentation, secrets management, audit logging, and policy enforcement, Red Hat OpenShift removes the need to stitch together, maintain, and test multiple point solutions. Security teams, operators, and developers can work from a common platform with consistent guardrails. 

This integrated approach establishes a reliable baseline for compliance and operational efficiency. It helps organizations align with compliance frameworks for Kubernetes such as the Center for Internet Security (CIS) benchmarks and the National Institute of Standards and Technology (NIST) guidelines, while also reducing wasted resources on reactive fixes.

With the Red Hat OpenShift security maturity model, teams get a structured journey with a clear path forward regardless of whether they are adopting a new Red Hat OpenShift deployment or altering an existing environment. The goal of this guide is to help users align and implement their organizational security goals with the functionality and features of Red Hat OpenShift.  

The guide provides practical, incremental steps for applying these standards within Red Hat OpenShift, showing how specific platform features can be used to meet recognized industry criteria. Rather than restating the benchmarks themselves, it connects day-to-day operational practices with the security outcomes organizations need, making compliance an achievable part of routine cluster management.

This framework aims to make sure that investments in security posture not only reduce risk, but also improve efficiency and lay the groundwork for trusted application delivery.

Common challenges and the value of a maturity journey

Organizations beginning their journey with Kubernetes often face similar hurdles. Operations, networking, and security teams may work in isolated organizational structures, creating gaps that attackers can exploit. Misconfiguration risks are high when clusters are set up using ad-hoc practices or disconnected point tools.

While compliance frameworks such as CIS benchmarks and NIST 800-series guidelines can initially seem daunting, they provide a useful baseline. With Red Hat OpenShift, these standards are manageable to implement and expand on, helping organizations not only meet regulatory requirements but also reduce risk, strengthen resilience, and move from reactive fixes toward a proactive security posture.

The maturity model presented here addresses these pain points directly through progressive steps, including,

• Basic hardening with Red Hat Enterprise Linux CoreOS and RBAC.
• Compliance profiles with the compliance operator and reporting and enforcement with Red Hat Advanced Cluster Security.
• Advanced runtime monitoring and software supply chain protections with Red Hat Advanced Cluster Security and Red Hat Advanced Developer Suite.

Each stage defines achievable outcomes that align with organizational needs, regulatory expectations, and the shared responsibilities of operations, networking, and security teams. This structure helps organizations move beyond reactive issue response, toward a consistent, continuously improving security posture tailored to their environment.

Before diving into the individual stages, it is useful to explain how the maturity model is structured. Each level builds on the last, mapping Red Hat OpenShift security capabilities to achievable outcomes so that organizations can see both their current position and the next practical step forward. Where an organization begins in this journey varies widely based on its risk profile, existing environment, project requirements, and industry context. A common organizational challenge is identifying the right starting point based on its teams’ varying skills sets and the organization’s long-term goals.

Objective: At the basic level, the main objective is to establish a compliant and security-focused foundation for Red Hat OpenShift. This begins with Red Hat Enterprise Linux CoreOS, the hardened and immutable operating system underpinning the platform. Red Hat Enterprise Linux CoreOS reduces the attack surface at the node level with built-in patching and locked-down defaults, giving teams immediate security benefits before additional configuration. This means fortifying an environment that reduces the attack surface from Day 1 and sets up clear security guardrails that can scale as the organization matures.

Security here is not a single-occurrence task, but a baseline commitment that supports every later stage of the maturity model. Organizations must align their early steps with both operational needs and regulatory frameworks such as CIS benchmarks and NIST guidelines.

Key actions: To achieve this objective, teams start by deploying Red Hat Enterprise Linux CoreOS as the base operating system. RBAC is configured to make sure that administrators, developers, and service accounts have appropriate least-privilege permissions. Think of RBAC as the keycard system for your cluster: each role only unlocks the doors it should, reducing the chance of accidental or malicious access.

User-defined networks and network policies are set up to segment workloads and restrict traffic between applications, acting as a firewall at the application unit (pod) level. This reduces exposure to lateral movement attacks. Security context constraints and pod security admission policies act as guardrails that keep containers in check, preventing them from running as root or escalating privileges to the host.

Secrets are safeguarded by storing them in encrypted form, integrating with key management services when needed, and rotating them regularly. This makes sure sensitive data such as passwords and application programming interface (API) keys are never exposed in plain text. Resource quotas and limit ranges are applied per project to prevent any single workload from consuming excessive resources, protecting platform health and mitigating denial-of-service by resource exhaustion.

Audit logging captures detailed records of user and system activity, establishing visibility and accountability from the start. At this stage, the focus is on building awareness—understanding what audit, platform, and workload logs provide, why they matter, and doing some basic analysis. Think of audit logs as the security cameras of the cluster, continuously recording who did what and when. Administrators should forward these logs to a log aggregator so they are available for review, helping teams spot potential malicious behavior and maintain availability. More advanced practices, such as an external security information and event management (SIEM) integration, anomaly detection, and forensic workflows, come in later maturity stages.

In addition, Red Hat Advanced Cluster Security for Kubernetes provides runtime monitoring to detect policy violations and anomalous behaviors in live workloads. This combination of logging and runtime visibility ensures if it is not logged, it did not happen—reinforcing continuous security observation as part of the platform’s foundation.

Together, these steps create a stronger foundation than a default deployment and prepare the environment for production use.

Teams involved: At this stage, platform responsibilities are shared. Operations teams configure and maintain the cluster, networking teams make sure segmentation policies are implemented correctly, and security teams validate compliance requirements and review access controls. While different specialists contribute, the maturity model is about the platform as a whole rather than individual roles.

By involving all 3 groups early, organizations avoid the pitfalls of isolated team structures and encourage collaboration across functions. This cooperation builds shared ownership of the platform’s security posture, rather than leaving responsibility to a single group.

Outcome: By carrying out these actions, organizations reach a milestone where Red Hat OpenShift is ready to run production workloads with reduced attack surfaces and stronger compliance posture. Applications run on a hardened foundation that has contingencies for common threats, sensitive data has protections, and suspicious activity is tracked through audit logs.

Most importantly, teams can move forward with confidence knowing they have established a baseline for their security posture. This baseline not only addresses immediate operational and compliance concerns, but also provides the stability needed to progress toward more advanced levels of security maturity.

Objective: At the intermediate level, the objective shifts from establishing a baseline to enforcing security policies proactively and monitoring compliance across the environment. Organizations move from static safeguards to automated checks and consistent enforcement.

The goal is to embed security into daily operations so that misconfigurations or vulnerabilities are caught early and corrected before they escalate into larger risks.

Key actions: To achieve this, teams deploy a compliance operator to automate assessment against CIS benchmarks and NIST guidelines. Integrating Trusted Software Supply Chain (TSSC) at this stage means extending proactive measures to the software artifact workloads themselves. This involves enhancing CI/CD pipelines with integrated image and configuration scanning to detect vulnerabilities and misconfigurations within software components before they reach production.

Automated policy enforcement is applied to make sure that only images and artifacts meeting defined security criteria (for example, free of critical vulnerabilities and signed by trusted entities) are allowed to proceed through the pipeline. Just as important, organizations should establish or strengthen a vulnerability mitigation process to remediate high-risk issues quickly and effectively, making sure risks are addressed in a timely manner rather than left to accumulate.

Network policies are set up across namespaces to make sure only approved traffic paths are allowed, reducing the risk of attackers moving freely through the system if they manage to find an entry point. Enforcement of policies is automated so that violations trigger alerts or remediation without manual intervention. Centralized logging is established to collect audit logs, cluster events, and security findings in a single location. At this stage, teams are not only gathering these records, but actively analyzing audit logs and monitoring data to detect suspicious behavior and potential security incidents, allowing for proactive responses rather than passive record-keeping.

These steps extend the security baseline from the basic level and make compliance part of everyday cluster operations.

Teams involved: Responsibilities expand at this stage across the platform. Operations teams continue to configure and maintain the cluster, while security teams define compliance policies, integrate scanning tools, and integrity checks into CI/CD workflows. Developers address vulnerabilities and misconfigurations identified through scanning to make sure issues are remediated early in the lifecycle.

Networking teams manage network policy implementation and validate segmentation strategies. By collaborating at this stage, all 4 functions make sure that enforcement is consistent across applications and infrastructure, reducing gaps and misunderstandings between groups.

Outcome: By completing these actions, organizations gain consistent policy enforcement and improved visibility across their Red Hat OpenShift environments. Compliance checks run continuously rather than as isolated events, reducing the risk of drift from established security-focused configurations. Misconfigurations and vulnerabilities are flagged early in the lifecycle, improving operational efficiency and reducing the cost of remediation and overall risk of exposure.

At this stage, organizations have moved beyond basic hardening and achieved a proactive posture, laying the groundwork for advanced runtime monitoring and continuous compliance in the next level.

Objective: At the advanced level, the objective is to achieve continuous compliance and an advanced operational security framework. This stage focuses on moving from proactive enforcement to a state of continuous monitoring, automated remediation, comprehensive governance, and narrower guardrails on security policies such as container construction.

Organizations aim not only to meet compliance standards, but to embed them into operations so that adherence is maintained automatically, even as environments change.

Key actions: To meet this objective, organizations implement runtime monitoring using Red Hat Advanced Cluster Security. Runtime monitoring provides visibility into live workloads, detecting anomalies and policy violations in real time.

Multitenant segmentation is designed to isolate workloads across projects and teams, enforcing zero-trust principles and preventing unauthorized cross-communication. Automated remediation tools are introduced to reduce human intervention and shorten response times, making sure that detected issues are corrected quickly and consistently.

At this stage, software supply chain security becomes a top priority and the overarching objective is to achieve continuous compliance within an advanced operational security framework. Image signing and validation are adopted to make sure that only trusted, verified container images are deployed.

Software Bill of Materials (SBOM) generation and management is implemented to provide comprehensive visibility into the enterprise software landscape, capturing detailed component inventories, license information, and vulnerability mappings. This offers insights into software composition and dependencies across the entire technology stack. 

CI/CD pipelines are enhanced with software supply chain protections that validate dependencies and prevent unverified code from reaching production. Provenance data creation and attestation are integrated into build processes to document the complete software supply chain journey, from source code to deployment.  Security policies are enabled and deployed at the platform level to guide consistent enforcement across workloads, aligning with the responsibilities of security teams. SIEM systems are integrated with Red Hat OpenShift audit logs and Red Hat Advanced Cluster Security policy violations, creating a single source of truth for monitoring, investigation, and compliance reporting.

Teams involved: At the advanced level, responsibilities span the full platform. Security architects coordinate efforts across teams, making sure guardrails are adopted and incrementally applied, operations teams maintain the platform and oversee remediation workflows, and networking teams enforce multitenant segmentation and advanced traffic controls.

Security teams tune Red Hat Advanced Developer Suite and Red Hat Advanced Cluster Security policies, manage SIEM integrations, and validate compliance reporting. Development teams play a role by aligning CI/CD practices with software supply chain safeguards, making sure security is embedded throughout the software delivery process.

The collaboration at this stage spans the entire organization, with security architects leading alignment and accountability across functions.

Outcome: By completing these actions, organizations operate a mature, continuously monitored environment aligned with CIS benchmarks and NIST guidelines. Continuous compliance reduces the likelihood of drift, while runtime monitoring and automated remediation make sure that threats are detected and addressed immediately.

Multitenant and container segmentation enforces workload isolation, protecting sensitive applications and data. Software supply chain security reduces risk from unverified code and dependencies, with provenance attestations allowing for automated Supply-chain Levels for Software Artifacts (SLSA) compliance checks, providing verifiable evidence of security focused build practices and establishing a comprehensive audit trail for all software build and delivery processes.

At the advanced level, Red Hat OpenShift environments move beyond configuration-based controls to continuous monitoring and operation-focused safeguards. Reaching this stage also means that environments meet or exceed common compliance benchmarks, including most CIS Kubernetes controls and the key points of NIST SP 800-190. This maturity allows organizations to support complex workloads with confidence, demonstrate compliance in regulated industries, and prepare for future innovations that demand resilient, highly security-focused infrastructure.

In addition, advanced maturity requires a strong focus on software supply chain security. Red Hat OpenShift supports a security-focused approach by using signed base images, generating and validating software bills of materials, and integrating vulnerability scanning directly into CI/CD pipelines. At this stage, shift-left practices bring developers into the process, performing scans, signing, and addressing issues early while in the inner loop of development. Practitioners can also adopt protections such as image signing with Sigstore, Red Hat Advanced Cluster Security supply chain governance, and alignment with Software Supply Chain Levels for Software Artifacts (SLSA) standards. 

These measures make sure that only verified images and trusted code are promoted into production, addressing concerns about supply chain attacks in regulated industries. By embedding supply chain protections into the advanced stage, organizations strengthen trust in their software delivery process while maintaining alignment with compliance frameworks and industry best practices.

At the expert level, organizations aim to maintain peak security in highly regulated environments while innovating and experimenting with new technologies, methodologies and procedures. This stage is relevant for teams that already operate at an advanced maturity level and must show continuous alignment with the most stringent standards.

By reaching this level, organizations achieve peak resilience and operate with advanced safeguards in place in the most sensitive contexts, including government, financial services, and healthcare. Expanded reading on topics covered in the earlier steps, and further information on customizing and managing at an expert level can be found in the following places:

• Red Hat Enterprise Linux hardening guide.
• Red Hat OpenShift Virtualization hardening guide.
• The security and compliance chapter of the Red Hat OpenShift manual.
• The zero trust networking chapter of the Red Hat OpenShift manual.
• Documentation on Zero Trust Workload Identity Manager.
• Documentation on confidential containers.
• Documentation on Red Hat Advanced Cluster Management for Kubernetes.
• Documentation on Red Hat Advanced Cluster Security for Kubernetes.
• How to manage Kubernetes Secrets in Red Hat OpenShift Learning Path.
• Red Hat Ansible® Automation Platform learning path for secrets management.
• Additional Red Hat learning paths.

The Red Hat OpenShift security maturity model provides a step-by-step guide for strengthening security across diverse organizational contexts. It recognizes that every organization starts from a different point, depending on current skills, project priorities, and regulatory requirements. By following the guide, teams can build from a security baseline, expand into proactive policy enforcement, and progress toward continuous compliance and advanced resilience.

This journey applies equally to new Red Hat OpenShift deployments and the update of existing environments. In both scenarios, the model helps reduce risk, enhance security posture, streamline operations, and improve audit readiness, while giving security, operations, networking, and development teams a shared roadmap.

Red Hat solutions, combined with the expertise of Red Hat teams and its partner ecosystem, make these improvements achievable and sustainable. Organizations can adopt proven practices, validated tooling, and expert guidance at every stage of the journey, incrementally strengthening their security posture by making sure that security evolves with business and technology needs through continuous improvement.

Engage with Red Hat for an assessment and consultation, or connect with sales for tailored recommendations. For more information, visit /technologies/cloud-computing/openshift.