AI threat model review
An architecture and data-flow review of your AI features, with a risk register mapped to the OWASP Top 10 for LLM Applications and MITRE ATLAS. A good first step before launch.
AI penetration testing
Security testing for LLM applications, chatbots and agents
AI features open new paths to your data and systems. We test them the way attackers will: through the prompt, the data your model reads and the tools it can call.
Services
Four ways we assess AI systems
LLM application pentest
Hands-on testing for direct and indirect prompt injection, jailbreaks and guardrail bypass, system-prompt and sensitive-data leakage, insecure output handling and excessive agency.
RAG & data pipeline assessment
Testing of retrieval-augmented generation: corpus poisoning, retrieval access controls, cross-tenant data leakage and the security of your ingestion pipeline.
AI supply chain review
Model provenance, checks for tampered serialized models, vetting of plugins and dependencies, and exposure through third-party AI APIs.
Deliverables
What you receive
- Findings mapped to the OWASP Top 10 for LLM Applications and MITRE ATLAS
- The exact prompts and payloads needed to reproduce each issue
- A prioritized mitigation plan for your architecture
- A retest of remediated findings within 45 days, included
How AI testing is different
Testing built for AI systems
We account for non-determinism
The same prompt can produce different answers. We repeat attacks, record success rates and report what an attacker can achieve reliably, not just once.
We respect your providers and budget
We confirm testing is permitted under your model provider’s terms, cap request rates and token spend, use no real personal data, and clean up any test content we add to your knowledge base.
FAQ
Common questions
We use a third-party model like GPT or Claude. What do you test?
Your application around the model: the prompts, retrieval, data access, tools and output handling you control. That is where most real-world AI vulnerabilities live.
Who is this for?
Any organization putting an LLM in front of customers or employees, especially chatbots, support assistants and agents that can read data or take actions in banking, fintech, healthcare and e-commerce.
Do you test AI features as part of a regular application pentest?
Yes. We can test AI features on their own or as part of a broader application test.
Launching or running an AI feature?
Tell us what your AI system does and what it can access, and we’ll scope the right assessment.