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Control M7

Zero Trust & Least Privilege Access

Implement fine-grained access controls with continuous verification, temporary credentials, minimal permission sets, and dynamic privilege management following zero trust principles to prevent tool misuse, privilege compromise, and unauthorized code execution.

  • 4 threats mitigated
  • 11 AISVS requirements
  • 2 AISVS chapters
  • 80 tasks

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Threats mitigated

  • T2 Tool Misuse

    Manipulation of tools, APIs, or environment access to perform unintended actions or access unauthorized resources, including exploitation of access to external systems.

  • T3 Privilege Compromise

    Breaking information system boundaries through context collapse, causing unauthorized data access/leakage, or exploiting tool privileges to gain unauthorized access to systems.

  • T11 Unexpected RCE and Code Attacks

    Tools or environments enabling unexpected code execution, presenting direct risks to code execution environments.

  • T13 Rogue Agents in Multi-Agent Systems

    Compromised AI agent activity outside monitoring limits or orchestration in multi-agent systems.

OWASP AISVS coverage

The AISVS 1.01 chapters and verification requirements this control helps satisfy.

C5 Access Control & Identity for AI Components & Users

  • C5.1.1 Level 3

    Verify that high-risk AI operations (model deployment, weight export, training data access, production configuration changes) require step-up authentication.

  • C5.1.2 Level 3

    Verify that AI agents in federated or multi-system deployments authenticate using short-lived, minimal-scoped, cryptographically signed tokens.

  • C5.2.1 Level 2

    Verify that every AI resource (datasets, endpoints, vector collections, embedding indices, compute instances) enforces access controls with explicit allow-lists and default-deny policies.

  • C5.2.2 Level 2

    Verify that retrieval pipelines (e.g., RAG queries, embedding lookups) enforce the end-user's authorization context at each retrieval and assembly stage, rather than relying solely on the service account's permissions.

  • C5.2.5 Level 2

    Verify that the policy decision point for agent authorization is isolated from the agent's execution environment.

  • C5.2.6 Level 3

    Verify that privileged access to model weights, training pipelines, and production AI configuration is granted just in time, with a defined maximum session duration and automatic expiry. Zero Standing Privilege (ZSP) to these resources is encouraged.

C9 Orchestration & Agentic Security

  • C9.5.1 Level 2

    Verify that agent actions are authorized against fine-grained policies enforced by the runtime that restrict which tools an agent may invoke, and which parameter values it may supply.

  • C9.5.2 Level 2

    Verify that when an agent acts on a user's behalf, the runtime propagates an integrity-protected, scope-limited token that carries the user's authorization context and is enforced at every downstream call.

  • C9.5.3 Level 2

    Verify that all access control decisions are enforced by application logic or a policy engine, never by the AI model itself.

  • C9.5.6 Level 3

    Verify that long-running agent sessions re-evaluate current backend authorization policy on every privileged action.

  • C9.5.7 Level 2

    Verify that authority derived through delegation never exceeds the delegating agent's current authority.

Design phase

Architecture, threat modelling and policy decisions made before code is written. 22 tasks.

Zero Trust Architecture Design

  • Design "never trust, always verify" principles for all agent interactions
  • Plan continuous authentication and authorization for every access request
  • Design micro-segmentation strategy for agent environments and communications
  • Plan identity-centric security model with strong agent authentication
  • Design policy-based access control with dynamic evaluation
  • Plan risk-based authentication with adaptive trust scoring
  • Design secure-by-default configurations and fail-safe mechanisms
  • Plan comprehensive visibility and monitoring for all agent activities

Least Privilege Framework

  • Design capability-based access control (CBAC) for fine-grained permissions
  • Plan just-in-time (JIT) access provisioning with time-limited credentials
  • Design role-based access control (RBAC) with minimal role assignment
  • Plan attribute-based access control (ABAC) for contextual authorization
  • Design permission inheritance and delegation mechanisms
  • Plan privilege escalation detection and prevention systems
  • Design automatic privilege de-escalation and session expiration
  • Plan privilege audit trails and access review processes

Dynamic Authorization Architecture

  • Design real-time policy evaluation engines with low-latency requirements
  • Plan context-aware authorization based on agent behavior and environment
  • Design risk-based access controls with adaptive security measures
  • Plan multi-factor authorization for high-risk operations
  • Design authorization policy versioning and deployment mechanisms
  • Plan authorization decision caching and performance optimization

Build phase

Implementation, testing and hardening while the agent is developed. 32 tasks.

Capability-Based Access Control Implementation

  • Build fine-grained permission model mapping agent capabilities to specific resources:
    • Resource-specific permissions (database tables, API endpoints, file directories)
    • Action-specific permissions (read, write, execute, delete, admin)
    • Condition-based permissions (time-based, location-based, context-based)
    • Hierarchical permissions with inheritance and override mechanisms
  • Implement permission verification at every access point:
    • API gateway integration with policy enforcement points (PEPs)
    • Database-level access controls with row-level security
    • File system permissions with mandatory access controls
    • Container and process-level privilege restrictions

Just-in-Time Access Management

  • Build temporary credential issuance systems:
    • AWS STS for short-lived cloud credentials (15-minute to 12-hour expiry)
    • HashiCorp Vault for dynamic secret generation and rotation
    • OAuth 2.0 with narrow scopes and short token lifetimes
    • JWT tokens with minimal claims and automatic expiration
  • Implement privilege elevation workflows:
    • Multi-factor authentication for privilege requests
    • Approval workflows for high-privilege operations
    • Time-limited privilege grants with automatic revocation
    • Session recording and monitoring for elevated privileges

Zero Trust Network Security

  • Deploy network micro-segmentation with software-defined perimeters
  • Implement service mesh security with mTLS for all communications
  • Build network policy enforcement with deny-by-default rules
  • Deploy network monitoring with encrypted traffic analysis
  • Implement network access control (NAC) for device authentication
  • Build network anomaly detection for unauthorized communications

Policy Enforcement Implementation

  • Build centralized policy decision points (PDPs) using Open Policy Agent (OPA)
  • Implement distributed policy enforcement points (PEPs) at critical junctions
  • Deploy policy as code with version control and testing
  • Build policy evaluation caching for performance optimization
  • Implement policy conflict resolution and priority mechanisms
  • Deploy policy impact analysis and testing frameworks

Operations phase

Monitoring, response and continuous improvement once the agent is live. 26 tasks.

Access Control Operations

  • Monitor all access attempts and authorization decisions in real-time
  • Execute regular access reviews and privilege audits
  • Maintain access control baselines and deviation detection
  • Deploy automated access revocation for departing agents or role changes
  • Execute privilege escalation monitoring and alerting
  • Maintain access control metrics and compliance reporting
  • Deploy access control incident response and investigation procedures

Credential Management Operations

  • Operate automated credential rotation and lifecycle management
  • Execute regular credential security assessments and compliance checks
  • Maintain credential inventory and usage tracking
  • Deploy credential compromise detection and response procedures
  • Execute credential backup and recovery procedures
  • Maintain credential policy enforcement and monitoring
  • Deploy credential sharing prevention and detection mechanisms

Policy Management Operations

  • Execute policy updates and deployment with testing and rollback procedures
  • Maintain policy documentation and change management processes
  • Deploy policy impact analysis and risk assessment
  • Execute policy compliance monitoring and enforcement
  • Maintain policy performance optimization and tuning
  • Deploy policy audit trails and version history management

Zero Trust Operations

  • Monitor trust scores and risk levels for all agents and users
  • Execute continuous verification and re-authentication procedures
  • Maintain zero trust architecture health and performance monitoring
  • Deploy threat hunting and behavioral analysis for trust violations
  • Execute zero trust incident response and containment procedures
  • Maintain zero trust metrics and maturity assessments

Tools and frameworks

Identity & Access Management

  • Enterprise IAM: Okta, Auth0, Azure AD, AWS IAM, Google Cloud Identity
  • Open Source: Keycloak, FreeIPA, Gluu, WSO2 Identity Server
  • Privileged Access: CyberArk, BeyondTrust, Thycotic, HashiCorp Vault
  • Multi-Factor Auth: Duo Security, RSA SecurID, YubiKey, TOTP implementations

Policy & Authorization

  • Policy Engines: Open Policy Agent (OPA), AWS Cedar, Google Zanzibar
  • ABAC Solutions: Axiomatics, NextLabs, PlainID, custom XACML implementations
  • Zero Trust Platforms: Zscaler, Palo Alto Prisma, Microsoft Zero Trust
  • Network Security: Illumio, Guardicore, Akamai, Cloudflare Zero Trust

Credential Management

  • Secret Management: HashiCorp Vault, AWS Secrets Manager, Azure Key Vault
  • Certificate Management: Venafi, DigiCert, Let's Encrypt, CFSSL
  • Key Management: AWS KMS, Google Cloud KMS, Azure Key Vault, PKCS#11 HSMs
  • Session Management: JWT libraries, OAuth 2.0 implementations, SAML solutions

Monitoring & Compliance

  • Access Analytics: Varonis, Imperva, SailPoint, custom analytics platforms
  • Compliance Tools: Rapid7, Qualys, Nessus, OpenSCAP for policy compliance
  • Audit Solutions: LogRhythm, ArcSight, IBM QRadar, custom audit frameworks
  • Risk Assessment: ServiceNow GRC, MetricStream, Resolver, custom risk platforms

References

Source: Agentic Security Hub controls (editorial, after OWASP Agentic AI T&M v1.1; mapped to AISVS 1.01) 2026.11 · retrieved 2026-11