Details.
Uses offensive security testing and adversarial emulation to assess AI-specific security controls and simulate attacks unique to machine learning. Engagements use the MITRE ATLAS framework and evaluate risks including data poisoning, model inversion, training data poisoning, insecure plugin design, and other AI supply-chain vulnerabilities.