Responsible Autonomy: Governing Enterprise AI Agents
A proposed five-level framework for defining AI agent autonomy, delegated authority, human oversight, enforceable security controls and assurance evidence.
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A proposed five-level framework for defining AI agent autonomy, delegated authority, human oversight, enforceable security controls and assurance evidence.
A proposed five-level framework for defining AI agent autonomy, delegated authority, human oversight, enforceable security controls and assurance evidence.
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RESEARCH DOMAINS
Core areas shaping enterprise AI, cyber risk and digital trust.
AI accountability, operating models, risk assessment and responsible AI.
Identity, delegated authority, tool-use safeguards and oversight.
Security architecture, enterprise risk and resilience.
ISO/IEC 42001, ISO/IEC 27001 and evidence-led control assessment.
Privacy governance, data fiduciary readiness and operational safeguards.
EDITORIAL PRINCIPLES
Evidence and attribution. Cite authoritative references and distinguish observed facts from interpretation.
Practical relevance. Translate technical analysis into governance, architecture and assurance decisions.
Transparent updates. Show actual publication and revision dates and correct material errors.
FROM RESEARCH TO ADVISORY
Discuss AI governance, cybersecurity, ISO management systems and data privacy priorities.