Agentic Security Hub

Threat 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.

  • 9/10 risk (Critical)
  • 6 attack vectors
  • 10 mitigating controls
  • 6 framework refs

Open in Threat ModelerAll threats

Overview

  • Impact level: High
  • Risk score: 9/10 (Critical)
  • CIA impact: Confidentiality, Integrity
  • Affected components: Memory Modules (KC4.1-KC4.6); Tool Integration Layer (KC5.1-KC5.4); External Environment Interface (KC6.1-KC6.3)
  • Tags: privilege, escalation, rbac, isolation, permissions
  • Source: OWASP Agentic AI T&M v1.1 (2025-12)

Attack vectors

How attackers carry out privilege compromise against an agentic system.

Attack vectorSeverityExample
Role Inheritance ExploitationHighExploiting dynamic role assignments to gain elevated privileges
Permission EscalationHighAgent retains admin permissions beyond intended duration
Context CollapseMediumBreaking isolation boundaries between different user contexts
Confused Deputy AttackHighTricking privileged agent to perform unauthorized actions
Service Account Token TheftHighExtracting cloud service account tokens from agent environment
Cross-Tenant Data AccessMediumAccessing data from different organizational tenants

Affected components

KC4 Memory Modules

KC5 Tool Integration Frameworks

KC6 Operational Environment (Agencies)

Mitigating controls

Controls from the catalog that reduce the likelihood or impact of T3.

  • M2 Tool Sandboxing & Isolation

    Implement defense-in-depth isolation for tool execution environments using containerization, virtualization, and strict resource controls to prevent tool misuse, contain breaches, and prevent unexpected code execution.

  • M3 Secure Inter-Agent Communication

    Implement cryptographically secure communication channels between agents with authentication, integrity verification, replay protection, and support for decentralized identity to prevent spoofing, poisoning attacks, and rogue agent infiltration.

  • M6 Comprehensive Security Monitoring & Auditing

    Implement end-to-end observability with security-focused monitoring, anomaly detection, tamper-evident logging, and advanced threat hunting to ensure accountability, enable incident response, and detect rogue agents.

  • 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.

  • M10 Defense-in-Depth Architecture & Trust Boundaries

    Implement multiple security layers with clear trust boundaries, network segmentation, cryptographic verification, and zero-trust networking to contain breaches, prevent lateral movement, and protect against privilege compromise, identity spoofing, and rogue agents.

  • M13 Secure Development Lifecycle Integration

    Embed security practices throughout the AI and agent lifecycle with security design reviews, automated testing gates, dependency scanning, and continuous compliance checks.

  • M14 Runtime Security Controls & Sandboxing

    Implement comprehensive runtime security controls including advanced sandboxing, execution monitoring, and dynamic security policy enforcement to prevent unexpected code execution and contain security breaches in real-time.

  • M15 Agent Identity & Authentication Framework

    Implement comprehensive agent identity management with decentralized identifiers, verifiable credentials, and strong authentication to prevent identity spoofing, enable secure agent discovery, and support agent reputation systems.

  • M17 Supply Chain Security & Provenance

    Implement comprehensive supply chain security including model provenance verification, dependency management, secure development environments, and third-party component validation to prevent supply chain attacks and ensure component integrity.

  • M18 Incident Response & Recovery Framework

    Implement comprehensive incident response capabilities specifically designed for agentic AI systems, including automated containment, forensic analysis, recovery procedures, and lessons learned integration to rapidly respond to security incidents and minimize impact.

Framework mappings

OWASP Top 10 for Agentic Applications

Cisco AI Security Taxonomy

OWASP AIVSS core risks

OWASP AISVS

Chapters cited by the mitigating controls: C1 Training Data Integrity & Traceability, C3 Model Lifecycle Management & Change Control, C4 Infrastructure, Configuration & Deployment Security, C5 Access Control & Identity for AI Components & Users, C6 Supply Chain Security for Models, C8 Memory, Embeddings & Vector Database Security, C9 Orchestration & Agentic Security, C10 Model Context Protocol (MCP) Security, C12 Monitoring, Logging & Anomaly Detection.

Requirements: C9.1.1, C9.3.1, C9.3.3, C9.3.4, C9.3.5, C9.3.6, C9.3.9, C4.1.1, C10.1.3, C9.4.1, C9.4.2, C9.5.5, C9.5.7, C10.3.1, C10.3.5, C10.4.6, C5.1.2, C12.1.1, C12.1.2, C12.1.3, C12.1.4, C12.2.1, C12.2.2, C12.4.2, C12.4.3, C12.5.3, C5.1.1, C5.2.1, C5.2.2, C5.2.5, C5.2.6, C9.5.1, C9.5.2, C9.5.3, C9.5.6, C5.3.1, C3.1.1, C3.3.1, C3.4.1, C3.4.2, C6.1.4, C4.1.2, C4.1.3, C4.3.3, C9.3.8, C9.6.1, C9.4.3, C10.2.1, C10.2.2, C10.2.7, C6.1.1, C6.1.2, C6.1.3, C6.2.1, C6.2.2, C6.2.3, C3.1.2, C3.1.3, C1.1.2, C9.6.3, C9.1.3, C3.3.2, C8.3.2.

MITRE ATLAS

Attack walkthroughs

References

Source: OWASP Agentic AI – Threats and Mitigations 1.1 (Dec 2025) · retrieved 2026-11