AI / LLM Penetration Testing
Secure your AI features against prompt injection, data leakage and agent abuse.
Overview
AI/LLM penetration testing assesses applications built on large language models for AI-specific risks that traditional testing misses. Aligned to the OWASP Top 10 for LLM Applications (2025), it tests for prompt injection, sensitive information disclosure, insecure output handling, excessive agency and supply-chain and RAG weaknesses across the model, prompts, tools and data pipeline.
Methodology & Standards
OWASP Top 10 for LLM Applications 2025 (LLM01 Prompt Injection through LLM10 Unbounded Consumption), supplemented by the NIST AI RMF and MITRE ATLAS.
What's Included
What You Receive
Frequently Asked Questions
Standard pentesting checks the web and API layer but not model behaviour. LLM risks like prompt injection, system-prompt leakage, RAG poisoning and excessive agency need AI-specific testing, which the OWASP LLM Top 10 was created to address.
Yes. Agents with tools and autonomy raise the stakes (Excessive Agency). A successful injection can trigger real actions, so we test exactly what an attacker can make your agent do and recommend guardrails.