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Build a foundation for zero trust in Linux environments

September 16, 2026•
Resource type: Overview
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Modern IT environments demand new approaches to security

Traditional perimeter-based security approaches cannot effectively protect new, widely distributed, cloud-based environments. The rise of autonomous AI agents has only accelerated the problem. AI is compressing the time between vulnerability discovery and exploitation. Every AI agent, tool, and Model Context Protocol (MCP) server an organization adopts adds packages, dependencies, and attack surfaces—inheriting whatever access, credentials, and permissions it is granted.

Implementing a zero trust architecture can help an organization protect its IT environment—whether safeguarding traditional workloads or autonomous agents. This overview discusses considerations for establishing zero trust architectures in Linux® environments, including the extensions needed to govern agentic AI.

What is zero trust and how does it work?

Zero trust is an architectural pattern that applies security to each asset, rather than exclusively managing security at a network perimeter. The foundational tenet is that no actor, system, network, or service operating inside or outside the security perimeter is implicitly trusted. For one resource to connect to another, the session must be both authenticated and authorized to establish explicit trust.

Identity and access management is at the core of zero trust architectures. Access to assets should be denied by default. Every subject that wants to interact with an asset must request explicit access for that specific interaction, and the risk of that interaction should be evaluated before allowing access. This requirement now extends to non-human identities: AI agents, service accounts, and automated tools must be identified, authenticated, and authorized with the same rigor as human users.

Organizational IT leaders need to determine who—or what—is requesting access, which assets it needs, the purpose of the transaction, and how access should be constrained by time, method, and function. Once access decisions are made, IT teams must store, manage, and update identities and identity attributes in a protected and consistent manner—and continually reassess those decisions so they remain valid over time.

Zero Trust framework key principles

A zero trust architecture can help an organization  better protect its IT environment. 

Red Hat uses 3 key principles1 to guide zero trust architecture implementation:

  • Never trust actors implicitly, always verify
  • Employ a least-privilege access strategy.
  • Assume networks and network traffic are compromised by default.

Implementing a zero trust architecture at the operating system level

Adopting zero trust requires shifts in security mindsets and processes, alongside key operating system (OS) and Identity Management (IdM) capabilities. As the foundation of an IT environment, the OS is central to zero trust. The following capabilities should be considered when implementing zero trust architecture:

Trusted OS supply chain

Zero trust models require an OS that can deny all access by default. Choose a security-focused OS delivered through a trusted software supply chain, with static code analysis and compiler hardening, extensive quality engineering (QE) testing, regular vulnerability patching, and published software bills of materials (SBOMs).

Access control and application allowlisting 

  • Mandatory access control (MAC) technologies like Security-Enhanced Linux (SELinux) isolate and control access according to centrally managed security policies. Look for built-in MAC with granular control over files, processes, users, and applications—including process isolation and container separation—and the ability to deny all access by default.
  • Application allowlisting specifies approved applications permitted to run on a system and complements mandatory access controls. Select an OS with built-in allowlisting like File Access Policy Daemon (fapolicyd) and predefined and customizable policies.

Modern, scalable, policy-based encryption

Several industry standards—including NIST Federal Information Processing Standard (FIPS) 140—require system-wide encryption settings.2 Choose an OS with policy-based cryptography controls, default profiles for standards like FIPS 140, automated enforcement, and customizable policies.

Data protection in all stages

Zero trust models require data to be protected in use, in motion, and at rest. Choose an OS that provides Trusted Execution Environment (TEE) capabilities with hardware-backed confidential computing to safeguard workloads and data in use—including AI models and the data they process; centralized, automated management of encrypted Transport Layer Security (TLS) connections for data in motion; and disk- and volume-level encryption for data at rest across hybrid cloud environments.

Hardware-based root of trust

Hardware-based root of trust, remote attestation, and measured boot help teams verify system integrity. Opt for an OS that moves cryptographic secrets onto tamper-proof hardware—such as smart cards, hardware security modules (HSMs), and Trusted Platform Modules (TPMs)—and supports attestation before releasing secrets to a workload.

Compliance scanning

System scanning tools like Open Security Content Automation Protocol (OpenSCAP) ease audits and remediation. Look for built-in scanning with customizable compliance profiles, reporting and baseline generation, automated remediation at scale, and context-aware severity scoring based on mitigations actively enforced in the environment.

Automated configuration management

Automation is critical to maintaining consistent security configurations at scale. Look for predefined, Ansible®-based automation content to configure and manage security-focused features—like SELinux, disk encryption, SSH, cryptographic policies, and identity and certificate management—across hybrid cloud environments.

Transaction monitoring and logging

Monitoring and logging allow the organization to audit actions to determine if a malicious action has occurred. Choose an OS that offers logging of input, output, system state, and environment variables; off-system log storage to prevent tampering; and customizable recording settings.

Independent attestation and security certification

Third-party verification of an organization’s OS compliance with security standards gives the organization operational confidence. Select an OS that offers compliance with common standards.

Red Hat Enterprise Linux customer review

Red Hat Enterprise Linux (RHEL) plays a big role in my company's implementation of the zero-trust model, as zero trust is a significant part of our security hardening strategy. There is a big executive order from a couple of years ago about it, and Red Hat Enterprise Linux (RHEL) helps us meet those STIG and hardening requirements and track identity management for what services have access.3

Jonathan Williams

Network Security, Dow

Authentication and single sign-on for Red Hat® solutions

An Identity Management (IdM) solution encompasses identities, attributes, credentials, certificates, and other items needed to authorize and authenticate access—for human users and, increasingly, for automated agents and services.

  • SSO lets users authenticate once and access multiple services through a central identity service. Select a solution that supports OAuth 2.0 and web authentication standards, as well as integrating with any existing services and services planned for the future.
  • Multifactor authentication (MFA) requires multiple checks to verify an identity prior to granting access. Choose solutions that support MFA via hardware tokens, smartcards, one-time passwords (OTP), and passwordless authentication with Fast IDentity Online 2 (FIDO2)-compliant passkeys.

Identity store, integration, and policy

A centralized identity store and domain controller can reduce administrative overhead and keep users, services, and hosts consistent across Linux and Windows environments. Opt for a solution that supports the platforms currently in use now and intended for future use, and that integrates with popular tools like Microsoft Active Directory. This solution should also set and apply policy-based controls from a central interface—including role-based access control (RBAC), customizable identity and access policies, authentication and authorization management, and session recording, auditing, and logging.

Certificate management

Digital certificates authenticate users, applications, websites, and other subjects and should follow least privilege principles across their lifecycle. Select a solution that provides complete lifecycle management for user, host, and service certificates; automated issuance and renewal via the Automatic Certificate Management Environment (ACME) protocol; expiration tracking; and support for public key infrastructure (PKI) authentication.

I really appreciate the zero trust networking that Red Hat Enterprise Linux (RHEL) has, and it also provides the Web Application Firewall (WAF), along with certified images from Red Hat. For my current work on containers, Red Hat provides certified images that minimize vulnerabilities of CVEs, improving security significantly.4

Hunaid Vekaryia, Site Reliability Engineer Software Labs, IBM

Zero trust for AI and agentic workloads

Autonomous AI agents change the zero trust calculus. Agents can act with limited supervision, execute multistep tasks, and interact directly with critical systems. An unvetted agent inherits whatever credentials and permissions it is granted, and a single compromised agent can exfiltrate data or move laterally. Because agents chain tools together, the attack surface grows exponentially—and traditional scanners often lack visibility into agent behavior. Protecting against agentic AI means applying zero trust principles to every model, agent, and tool.

Core principles for agentic zero trust

Extend the organization’s existing zero trust principles to cover autonomous agents:

  • Never trust, always verify—for every workload, artifact, and interaction, not only human users.
  • Cryptographic identity for every agent and service, so agent-to-agent and agent-to-tool communication is authenticated by default.
  • Verify provenance for models, configurations, and tools, to confirm origin and integrity before anything runs.
  • Runtime enforcement and behavioral monitoring, so anomalous agent behavior is detected and contained in real time.
  • Supply chain security from build to deployment, applying the same signing and verification practices to AI artifacts as to any other software component.

A layered defense for AI workloads

Autonomous AI agents extend each pillar and introduce requirements that traditional zero trust implementations were not designed to address. A zero trust approach to AI security can be shown in 3 layers:

Trusted foundation. AI workloads require a hardened, zero trust base at the infrastructure level. This includes hardware-based isolation and confidential computing, which keep data and models inaccessible to the host, even when tenants share high-demand compute. This extends the devices and applications and workloads pillars to cover AI-specific infrastructure.

Verified supply chain. Models, agents, and tools should have a verified chain of origin and be checked against organizational policy before deployment—applying the same trust-but-verify practices used for traditional software to AI components, where conventional scanning tools have limited reach. This extends the applications and workloads and data pillars to cover AI components.

Continuous runtime enforcement. Every agent action should be verified in real time: validating identity before granting access, continuously monitoring behavior, limiting what each agent can reach, and detecting threats specific to AI workloads—all integrated with the organization's existing security operations. This extends the identity, networks, and data pillars to cover nonhuman actors.

Together, these layers bring the identity, access, and verification discipline of enterprise IAM to a new class of nonhuman actor—connecting who an agent is, what it is allowed to do, and what it actually did.

Build a foundation for zero trust with Red Hat Enterprise Linux

Red Hat Enterprise Linux meets the OS requirements discussed in this overview. It provides a trusted, certified foundation—with built-in security controls, automated configuration, and compliance capabilities—to help the organization adopt zero trust for traditional infrastructure and for AI and agentic workloads. Red Hat Enterprise Linux is also certified to many government security standards like Common Criteria (CC), FIPS 140, Secure Technical Implementation Guidelines (STIG), and Section 508.

Included with Red Hat Enterprise Linux, Identity Management helps teams centralize IdM, enforce security controls, and comply with security standards. It delivers certificate lifecycle management with ACME-based automated issuance and renewal; integrates with Microsoft Active Directory, Lightweight Directory Access Protocol (LDAP), and other third-party solutions; and supports certificate-based authentication and OAuth 2.0-based SSO.

For AI and agentic workloads, Red Hat extends this foundation with cryptographic workload identity for every agent and service, verifiable provenance for models and artifacts, and runtime policy enforcement that verifies every agent action—so zero trust principles apply consistently whether protecting a server, a container, or an autonomous agent.

Red Hat Enterprise Linux and IdM integrate with the rest of Red Hat’s portfolio to provide a unified foundation for zero trust architectures.

  • Red Hat build of Keycloak is a cloud-native identity and access management solution that provides SSO for web applications and application programming interfaces (APIs). 
  • Red Hat Satellite is an infrastructure management product that helps you keep your Red Hat Enterprise Linux environments running efficiently, with security, and in compliance.
  • Red Hat Ansible Automation Platform provides an enterprise framework for building, operating, and managing IT automation at scale.
  • Red Hat Certificate System is a certificate authority that supports advanced management activity like smart card provisioning, customized certificate types, and protected secret storage.
  • Red Hat Directory Server is an OS-independent, network-based, scalable registry that lets you centrally store identity and application information for distributed directory topologies.

Learn more

Discover how to get started with Red Hat Enterprise Linux security by visiting Red Hat Enterprise Linux security.

  1. NIST. SP 800-207. “Zero Trust Architecture.” August 2020. 

  2. NIST. "FIPS 140-3 Security Requirements for Cryptographic Modules."  22 March 2019. 

  3. PeerSpot Red Hat Enterprise Linux reviews. "Platform has provided secure patching and supports broad hybrid deployments for compliance." 12 May 2026.

  4. PeerSpot. "Platform has provided secure patching and supports broad hybrid deployments for compliance." 12 May 2026.

  5. Red Hat e-book. "Top Red Hat Enterprise Linux features for implementing zero trust architectures." 4 Nov. 2025.

Tags:Linux, Security