Alignment of AI system deployment with the regulatory frameworks and audit/governance posture the customer's environment requires.
AI compliance is the alignment of AI system deployment with the regulatory frameworks the customer's environment requires. Common frameworks include the EU AI Act (risk-based classification, transparency requirements, human oversight requirements), NIST AI Risk Management Framework, ISO/IEC 42001 (AI management system), and sectoral frameworks (HIPAA for healthcare, FDA 21 CFR Part 11 for pharma, FERPA for education, SOX for financial reporting, sectoral regulators per industry).
AI compliance is increasingly the gating factor for AI procurement in regulated industries. Frameworks like the EU AI Act explicitly require deployment-time documentation of risk classification, training data provenance, model behavior, and human-oversight posture. Organizations that adopt AI without aligning to the applicable frameworks discover the gap during regulator review or audit, often after material adoption.
AI compliance is enforced at multiple layers — procurement security review, internal audit, regulator review. Non-compliant deployments generate legal exposure (regulatory fines), operational risk (deployment must be reworked), and reputational risk. Compliant deployments compress the procurement cycle and reduce downstream rework.
EU AI Act risk classification documentation for high-risk AI systems
NIST AI RMF alignment documentation for US federal and federal-adjacent deployments
ISO/IEC 42001 AI management system certification
Sectoral framework alignment (HIPAA, FDA Part 11, FERPA, FERC, NERC CIP, etc.)
Beth's compliance posture is designed for multi-framework alignment. Pilot scoping covers the specific frameworks the customer's deployment must satisfy; documentation is generated to support each. Common scopes include EU AI Act, NIST AI RMF, ISO/IEC 42001, plus sectoral frameworks per industry. Both Beth and Isaiah support deployment postures (VPC, on-prem, air-gapped) that satisfy the most demanding compliance requirements.
AI compliance frameworks layer on top of existing security frameworks (SOC 2, ISO 27001, sectoral) rather than replacing them. A deployment typically needs to satisfy both the security framework and the AI-specific framework simultaneously.
Pilot scoping plans against frameworks that are likely to apply at production deployment. Frameworks under development (e.g., specific national AI laws) get tracked during deployment so the customer's posture stays aligned as the regulation finalizes.
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