AI operations governanceAI Post-Deployment Monitoring
AI post-deployment monitoring measures whether a released system continues to perform, comply, and behave safely in its actual environment.
AI incident responseAI System Incident Response
AI-system incident response adapts preparation, detection, analysis, containment, recovery, and learning to failures and attacks involving models, data, prompts, outputs, pipelines, and automated decisions.
AI security architectureAI System Trust Boundaries
AI system trust boundaries identify where data, instructions, identities, models, tools, and authority cross between components or organizations.
AI third-party riskAI Vendor Control Monitoring
AI vendor control monitoring evaluates whether a provider continues to meet security, privacy, resilience, transparency, and notification commitments after onboarding.
Cryptography and trust conceptAdvanced Encryption Standard (AES)
Advanced Encryption Standard (AES) is a cryptographic or trust-management mechanism used to provide confidentiality, integrity, authenticity, non-repudiation, or secure key establishment.
Detection engineeringAlert Actionability Engineering
Alert actionability engineering designs alerts so a responder can understand the condition, impact, evidence, urgency, owner, and next safe step.