AI Agent Penetration Testing
Security assessment of AI agents, LLM integrations, and autonomous systems
What this engagement covers
The service
AI agents and LLM-powered applications introduce novel attack surfaces including prompt injection, tool misuse, data exfiltration through model outputs, and privilege escalation via autonomous actions. Our AI agent penetration testing identifies vulnerabilities unique to agentic systems before they reach production.
What we test
We assess AI agents, LLM-powered applications, RAG pipelines, tool-calling implementations, multi-agent systems, and autonomous workflows. Testing covers prompt injection (direct and indirect), tool and function call abuse, data leakage through model outputs, guardrail bypasses, privilege escalation through agent actions, and supply chain risks from plugins and integrations.
How we run it
Our testers combine deep LLM security expertise with traditional penetration testing methodology. We test your AI agent's system prompts, tool definitions, guardrails, output filters, and access controls. We evaluate agentic workflows for permission boundaries, assess RAG poisoning risks, and test for data exfiltration through side channels. Every finding includes proof-of-concept and tailored remediation guidance.
AI agent architecture review and threat modeling
Direct and indirect prompt injection testing
Tool and function call abuse testing
RAG pipeline poisoning assessment
Guardrail and output filter bypass testing
Multi-agent privilege escalation testing
Data exfiltration and leakage analysis
Supply chain and plugin security review
What you receive
Findings land in your tracker as you go, not only in a PDF at the end. Retest is in scope, not a change order.
- AI agent security assessment report
- Prompt injection vulnerability analysis
- Tool and function call abuse findings
- Guardrail bypass documentation
- Data leakage risk assessment
- OWASP Top 10 for LLM mapping
- Agentic permission boundary analysis
- Remediation and hardening guidance
What we usually find
The issues this engagement surfaces most often. Yours will differ, but this is the shape of it.
Who this is for
Findings are mapped to OWASP Top 10 for LLM, NIST AI RMF, ISO 42001, EU AI Act, so the report drops into an audit package rather than needing to be translated first. If you need the readiness work behind one of those, that is a separate engagement.
Scope it in one call
Tell us what is in scope and we come back with a fixed price and a start date. No discovery-call maze, no hourly estimate that moves.
