Trail of Bits›Trail of Bits› offers AI/ML Security

Assessments cover the full AI/ML pipeline, including software and machine-learning architecture components, CI/CD processes, data provenance, and hardware stack security, uncovering vulnerabilities that can degrade model performance or expose model parameters and data. The service also performs threat modeling, operational design domain analysis, and risk framework evaluation for AI adoption.

Consultants benchmark AI model performance and validate offensive and defensive cyber capabilities, drawing on experience from AI red-teaming engagements and DARPA's AI Cyber Challenge. Each engagement delivers a written findings report, short- and long-term SDLC recommendations, and runnable exploit proof-of-concepts alongside custom AI security training.