Services · Red Teaming
AI Red Teaming & Failure Mode Analysis
Adversarial testing of your AI systems, mapped to MITRE ATLAS, plus structured analysis of the failures that happen with no attacker at all.
Service offering
AI Red Teaming
Our CTO led the AI Red Team at MITRE; our founders' work contributed to MITRE ATLAS and the NIST AI RMF
AI systems can be manipulated, evaded, or exploited, just like traditional software, and in ways traditional software never could be. We simulate real-world attacks against your models, prompts, and data pipelines to uncover those weaknesses before bad actors do.
Threat model
We scope the real system: model, prompts, tools, data flows, trust boundaries. Attacker objectives come from your business, not a checklist.
Adversarial testing
Hands-on attacks across the ATLAS technique families that apply to your architecture. Manual, iterative, evidenced as we go.
Findings and retest
Every finding written with reproduction steps, impact, and a fix. Then we retest what you remediate.
Mapped to MITRE ATLAS
Technique families, not a fixed test plan: a fine-tuned classifier, a retrieval pipeline, and a tool-using agent each fail differently.
Service offering
Failure Mode Analysis
Not every AI failure has an attacker behind it. Models drift, edge cases surface, and a decision that was fine in testing harms someone in production. We find those failures on purpose, before your users find them by accident.
System map
We map components, decisions, data dependencies, and the people downstream of each one.
Failure modes
We identify what breaks, under which conditions, and who absorbs it when it does.
Severity and controls
Severity scored against likelihood, with the controls that move the number.
What we evaluate
Find the failure before an adversary does.
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