Put AI governance into practice.
Track what’s changing in AI. Get the guidance and tools to act.
Editable Word policy + Excel decision workbook. Free. No account required.
AI regulation updates, enforcement actions, and research
Tracked daily: enforcement actions, regulatory updates, and new frameworks.
OpenAI's Transparency Blueprint Puts AI Infrastructure Risk on the Compliance Agenda
Nov 9, 2026
Google DeepMind AI Agents Cut RSA-1024 Attack Cost 3.5x, Forcing Cryptographic Inventory Action
Nov 9, 2026
Nvidia CEO Under Board Investigation Over Alleged Chinese Spy Connection
Nov 9, 2026
Forrester: Model Guardrails Alone Cannot Secure Agentic AI Databases
Nov 9, 2026
OS-Layer Controls Are the Missing Link in AI Agent Least Privilege
Nov 9, 2026
Your weekly AI governance briefing
What changed in AI regulation, why it matters, and what your team should do next, in one email.
Free every Thursday. Unsubscribe anytime.
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.
Read →
AI Governance for Startups
Leave with the 6 governance basics that satisfy investor and enterprise customer due diligence.
Read →
How to Perform an AI Risk Assessment
Leave with a signed risk assessment and required controls for each AI system.
Read →
AI Incident Response
Leave with a pre-assigned response plan, containment steps, and notification checklist.
Read →
Managing Third-Party AI Vendors
Leave with due diligence complete, opt-outs activated, and change notification in your contracts.
Read →
AI Regulations for US SaaS Companies
Leave with a regulatory map for your product and customer base: federal, state, and EU.
Read →
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.
