AI Security Assessment & Red Teaming

Field notes

AI red teaming is penetration testing with a new attack surface, and we approach it the same way: methodology first. Assessments map to the OWASP Top 10 for LLM Applications and MITRE ATLAS (the adversary knowledge base for AI systems) and cover the full pipeline, not just the chatbot: the model, the RAG data stores feeding it, the function-calling integrations acting on its output, and the vendor APIs underneath. You get the same report discipline as our network pentests: reproduction steps, impact demonstration, retest included.

What we do

• Prompt injection & jailbreaking

  Can users make your chatbot ignore its instructions, leak its system prompt, or take unauthorized actions? We find out.

• Sensitive data leakage

  Does your AI expose customer records, credentials, or internal data through its responses?

• Insecure integrations

  Plugins, function-calling, and RAG pipelines give LLMs access to your systems. Each one is a new attack path we map and test.

• Model supply chain

  Third-party models, datasets, and APIs your stack depends on, assessed for tampering and provenance.

• Shadow AI discovery

  An inventory of the unsanctioned AI tools your employees already use.