Governing AI Agents: Start With an Authority Map
Before choosing an agent framework, decide what an agent may read, propose, execute and never touch. A practical method for drawing that boundary.
Insight topic
AI Governance insights
Risk, security, accountability and responsible use of AI systems. Articles in this topic are written for leaders and practitioners who need practical, evidence-based guidance.
2 articles in AI Governance
Risk Tiering: Proportionate AI Governance That Teams Will Follow
Heavy review for every AI use drives teams around governance. Tiering uses by risk lets low-risk work move quickly and focuses scrutiny where harm is possible.
Topic guide
Understanding AI Governance
AI governance ensures AI systems are secure, lawful, fair and accountable. Articles in this topic focus on proportionate governance that teams can actually follow, supported by recognised frameworks.
FAQ
Key questions about AI Governance
What is proportionate AI governance?
Governance that classifies AI uses by potential harm and applies controls matched to each level, so low-risk uses move quickly and high-risk uses receive rigorous review.
Where should AI governance start?
With an inventory of AI systems in use and in development, including third-party tools and AI features embedded in existing software.
Which frameworks support AI governance?
Common references include the NIST AI Risk Management Framework and ISO/IEC 42001, alongside applicable data protection laws and sector regulations.
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