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Reload the page9 articles tagged with “Governance”
A 2026 comparison of open-weight LLMs (Llama, Mistral, DeepSeek, Qwen, Gemma) against proprietary models (GPT, Claude, Gemini) on data residency, fine-tuning rights, audit access, and licence terms.
An 87-question RFP template for AI Control Plane evaluation, mapped to NIST AI 600-1, ISO 42001, SOC 2, EU AI Act, Gartner TRiSM, and ENISA AI threat landscape references.
A 12-section retrospective template for CISOs running an AI governance program that turned one this year. Covers policy effectiveness, control coverage, incident review, training metrics, vendor performance, audit findings, regulatory drift, technology stack lessons, workforce capability, board confidence, year-2 priorities, and the 'what we would do differently' debrief - grounded in NIST AI 600-1, ISO/IEC 42001:2023, Gartner AI TRiSM, and the SANS 2024 AI Survey.
A 4-page section-by-section template for the quarterly AI governance board update - KPIs by quarter, AI risk heatmap, regulatory readiness scorecard, vendor risk matrix, incident summary, and recommended decisions - tuned to the tone of the NACD AI Director's Handbook 2024, ISS Sustainability Quality Score AI metrics, Glass Lewis 2024-2025 AI engagement guidance, and the UK Financial Reporting Council's 2024 board-level AI guidance.
A 60-question vendor risk questionnaire (VRQ) template for generative AI and AI-feature SaaS vendors, organised into six sections (model and provider, data governance, security, compliance and audit, operational, contractual), with each question referenced to the source standard - SIG 2024, CSA CCM v4, ISO/IEC 27036, NIST SP 800-161, and HHS HIPAA Risk Analysis guidance.
An opinionated OKR template for CISOs running an AI governance programme in 2026. Twelve quarterly objectives covering policy coverage, control implementation, vendor management, training, incident response, and regulatory readiness - each tied to a NIST AI 600-1 function, ISO/IEC 42001:2023 control, or EU AI Act article, with a default first-quarter target a programme manager can adopt without redrafting.
A practical 30-item year-end checklist for CISOs and AI governance leads heading into the 2026 fiscal close. Covers vendor contract renewals (DPAs, AI addenda, SCC reaffirmations), policy reviews, training refreshes, the year-end incident retrospective, audit prep for the new fiscal year, the board reporting deck, and the compliance calendar setup for 2027 - mapped to NIST AI 600-1, NIST CSF 2.0, and the most current 2024-2025 sector surveys.
AI governance and AI compliance are related but distinct disciplines. AI governance is the broader organizational framework for responsible AI, while AI compliance is the subset focused on meeting specific regulatory requirements. Learn the differences, overlaps, and why you need both.
AI governance and AI security are related but distinct disciplines. Governance covers policies, accountability, and organizational controls. Security focuses on threat protection and data exposure prevention. Understanding both is essential for enterprise AI risk management.
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