The BAICS Framework organizes controls into 6 categories
Controls for securing AI system infrastructure, runtime environments, network communications, and ensuring system resilience through redundancy and fail-safe mechanisms.
Controls for protecting model artifacts, ensuring supply chain integrity, preventing tampering, and maintaining intellectual property protection for AI assets.
Controls for protecting sensitive data, ensuring privacy compliance, managing data lifecycle, and implementing privacy-enhancing technologies.
Controls for validating inputs, filtering outputs, implementing guardrails, and ensuring safe and responsible AI interactions with users.
Controls for monitoring AI systems, detecting drift, incident response, change management, and maintaining operational continuity.
Controls for governance frameworks, compliance alignment, organizational accountability, and integration with enterprise risk management.