AI Governance
AI Acceptable Use Policies That Survive Deployment Pressure
Written rules fail without technical enforcement, monitoring, and audit-ready logs.
DeShawn Calloway
· 8 min read
Written rules fail without technical enforcement, monitoring, and audit-ready logs.
Traditional GRC platforms cannot detect AI behavior changes between audits.
Audit trails must record authorization decisions, not just activity, to prove AI compliance.
Organizations must map AI agents to SOC 2 controls and prove those controls actually work.
FedRAMP's framework struggles to keep pace with federal AI deployment demands.
Auditors now demand runtime logs, not policies, to verify AI systems met compliance rules.
Organizations must document AI decisions before regulators demand proof of compliance.
AI agents' autonomous data access and persistent memory undermine HIPAA's human-centered safeguards.