AI Agents Security Audit
A systematic security assessment of your AI-powered autonomous agents — evaluating architecture, tool permissions, guardrails and monitoring to identify vulnerabilities specific to agentic AI systems.
What is an AI Agents Security Audit?
An AI Agents Security Audit evaluates the security posture of AI-powered autonomous agents deployed in your organisation. As AI agents gain the ability to execute actions by calling APIs, browsing the web, running code, they introduce a new class of risk: prompt injection, tool misuse, data exfiltration through model context, and uncontrolled privilege escalation.
We systematically assess your AI agents' architecture, tool permissions, guardrails, and monitoring to identify vulnerabilities specific to agentic AI systems.
The resulting report provides a prioritised remediation plan to operate AI agents safely without sacrificing their utility.
Security for AI that acts on your behalf.
audit phases
attack vectors assessed
How do we audit AI Agents Security?
The engagement follows a structured methodology in four phases.
Agent Inventory and Architecture Review
We map all AI agents in scope: their purpose, underlying models, tool/function access, data sources, and permission levels. We document the agentic architecture — orchestration frameworks, memory systems, retrieval-augmented generation (RAG) pipelines, and integration points. We define the audit scope based on agent criticality and data sensitivity.
Vulnerability Assessment
We perform targeted testing and analysis across the AI agent attack surface: prompt injection (direct and indirect) to hijack agent behaviour, tool-use abuse and privilege escalation through function calling, data leakage through model context and conversation history, guardrail bypass and jailbreak resistance, output validation and hallucination risk in action-taking contexts, RAG poisoning and retrieval manipulation, and logging, observability, and human-in-the-loop controls.
Findings and Recommendations
Each vulnerability is documented with a severity rating, exploitation scenario, and remediation recommendation. Findings are mapped to emerging AI security frameworks (OWASP LLM Top 10, MITRE ATLAS). We produce an AI agent security maturity assessment with a clear hardening roadmap.
Restitution
We present findings to security and AI/ML teams, walk through threat scenarios and mitigations, and deliver the final report via secure channel. All agent access and client data are destroyed at engagement close.
Prerequisites
Access to AI agent source code or configuration, documentation of agent architecture, tool permissions, and data sources, test environments where agents can be safely evaluated, and a designated AI/ML or security contact on the client side.
Need an AI Agents Security Audit?
Identify vulnerabilities in your autonomous AI agents before attackers exploit them. Prompt injection, tool misuse, privilege escalation — we cover the full agentic attack surface.