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AI Red Teaming
Your LLM apps and AI agents, attacked the way a real adversary would — prompt injection, RAG poisoning, multi-agent attacks, and MCP exploitation. Mapped to the OWASP Top 10 for LLM Applications.
Five ways we put your defenses under pressure — from the model layer to the front door. Pick one, or run them together.
Your LLM apps and AI agents, attacked the way a real adversary would — prompt injection, RAG poisoning, multi-agent attacks, and MCP exploitation. Mapped to the OWASP Top 10 for LLM Applications.
Web, network, and infrastructure — tested by hand, end to end. External and internal, application to post-exploitation. Findings mapped to CWE and CVE, scored with CVSS v3.1.
Locks, badges, and people. We test the physical path into your building — tailgating, badge cloning, lock bypass, and on-site social engineering, fully authorized and documented.
Know where you're exposed before anyone tests it. Architecture review, AI/agent design risk, and secure-by-design guidance — before it ships, not after.
The human layer is part of the attack surface. Phishing, smishing, and vishing simulation, plus tailored staff and executive training, delivered on-site or remote.
Targets, boundaries, and rules of engagement, defined in writing before we touch anything.
We map the surface, then attempt real exploitation by hand — the path a motivated adversary takes.
Every finding with evidence, business impact, severity, and exact reproduction steps.
Once you've remediated, we verify the fixes actually hold against the original attack.
Tell us what you're building and what you're worried about. We'll recommend a scope, a timeline, and a quote.
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