Put AI governance into practice.
Track what’s changing in AI. Get the guidance and tools to act.
AI regulation updates, enforcement actions, and research
Tracked daily: enforcement actions, regulatory updates, and new frameworks.
AI Governance Weekly - October 29, 2026
Oct 29, 2026
Microsoft CISO Guidance Makes Agent Identity and Observability the Enterprise Baseline
Oct 29, 2026
Singapore Proposes International AI Incident-Reporting Pilot, Signaling Future Obligations
Oct 29, 2026
Top AI Scores 10.8% on Tax Work, Exposing Professional Judgment Gap
Oct 29, 2026
xAI's $6.1M Environmental Penalties Expose AI Infrastructure Vendor Risk Gap
Oct 28, 2026
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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.