AI governance intelligence for compliance and 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 AISI and CAISI Find Kimi K3 Safeguards Failed to Block Offensive Cyber Attempts Ahead of Open-Weight Release
Jul 25, 2026
IBM's Agentic AI Governance Playbook Sets an Industry Benchmark for Autonomy Boundaries and Approval Controls
Jul 25, 2026
EPA Rule Change Would Let States Gut Public Participation in AI Data Center Permitting, Shifting ESG and Infrastructure Risk to Enterprises
Jul 24, 2026
Opus 5 Launches With 85% Fewer Safety Classifier Triggers and a Separate Data Retention Regime, Complicating Enterprise Privacy Programs
Jul 24, 2026
Meta Sev-1 Agent Incident Exposes Authorization Failures That Standard Access Controls Were Not Built to Catch
Jul 24, 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
Graceful degradation, fail-safe defaults, and reliability under adversarial inputs.
Security
Adversarial input defense, prompt injection protection, and model access controls.
Regulatory Compliance
Multi-jurisdiction regulatory mapping, standards monitoring, and compliance architecture for AI systems.
Audit & Logging
Immutable records of AI decisions, inputs, outputs, and model versions.