AI governance intelligence for compliance and GRC teams.
Regulatory developments, enforcement actions, model intelligence, and industry best practice — 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.
CMS WISeR Pilot Puts AI-Driven Denial Decisions Under Federal Scrutiny, Exposing Vendor Incentive and Human Oversight Failures
Jul 21, 2026
Meta Faces Federal Lawsuit Alleging AI System Selected 8,000 Employees for Layoffs Without Adequate Human Review
Jul 21, 2026
xAI Sues Grok Users Over CSAM to Shift AI Liability, Creating Indemnity and Vendor Risk Precedent for Enterprises
Jul 21, 2026
$1.5 Billion Anthropic Copyright Settlement Leaves Training Data Compliance Obligations Unresolved for Enterprise AI Teams
Jul 21, 2026
32% of Recent arXiv Papers Flag as AI-Written, Exposing Reliability Gaps in Detection Tools Enterprises Rely On
Jul 21, 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.