AI governance regulations, controls, and best practices for GRC teams.
Regulatory developments, enforcement actions, model intelligence, and industry best practice, all tracked daily. Plus practical playbooks for the compliance questions your team is actually asking.
AI regulation updates, enforcement actions, and research
Tracked daily: enforcement actions, regulatory updates, and new frameworks.
UK Calls for Binding Frontier AI Oversight at the UN Security Council
Sep 26, 2026
VA's October AI Contract Sets Governance as a Federal Procurement Criterion
Sep 26, 2026
HUD Deploys AI Grants Monitor by September 30 Without Finalized Governance Rules
Sep 26, 2026
UK AISI Study: AI Shifted Political Views by 10 Points in 42,000-Person Trial
Sep 26, 2026
Frontier Labs Launch Self-Regulatory Body With Incident Reporting and Audit Rules
Sep 26, 2026
AI governance playbooks for compliance teams
Step-by-step guides built around what you should have at the end.
How to Comply with the EU AI Act
Leave with a risk-tier map for every AI system and a conformity roadmap with deadlines.
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AI Governance for Startups
Leave with the 6 governance basics that satisfy investor and enterprise customer due diligence.
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How to Perform an AI Risk Assessment
Leave with a signed risk assessment and required controls for each AI system.
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AI Incident Response
Leave with a pre-assigned response plan, containment steps, and notification checklist.
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Managing Third-Party AI Vendors
Leave with due diligence complete, opt-outs activated, and change notification in your contracts.
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AI Regulations for US SaaS Companies
Leave with a regulatory map for your product and customer base: federal, state, and EU.
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55 operational governance controls
Organized by domain, with maturity levels and implementation guidance.
Human Oversight
Review gates, approval workflows, and override mechanisms for AI decisions.
Agentic AI
Goal constraints, action boundaries, and escalation paths for autonomous AI agents.
Safety & Reliability
Safe fallbacks when AI fails, output checks, and reliable behavior when someone tries to trick the system.
Security
Defenses against crafted inputs that trick AI into misbehaving, including prompt injection, plus controls on who can use each model.
Regulatory Compliance
Multi-jurisdiction regulatory mapping, standards monitoring, and compliance architecture for AI systems.
Audit & Logging
Tamper-proof records of AI decisions, inputs, outputs, and which model version produced them.