Identity
Establish who or what is acting and under whose authority.
EXPERTISE · SECURITY GOVERNANCE
Security governance translates business risk into decision rights, architecture principles, control requirements, ownership and assurance. In AI-enabled enterprises, the governance model must extend from human users and applications to models, workloads, agents and other machine identities.
DEFINITION
Security governance translates business risk into decision rights, architecture principles, control requirements, ownership and assurance. In AI-enabled enterprises, the governance model must extend from human users and applications to models, workloads, agents and other machine identities.
CONTROL DIMENSIONS
Establish who or what is acting and under whose authority.
Apply least privilege, contextual access and separation of duties.
Embed security controls into cloud and software delivery workflows.
Measure control effectiveness and retain evidence for challenge and audit.
QUESTIONS TO ASK
The answer should identify an accountable owner, a defined control expectation and evidence that the control operates.
The answer should identify an accountable owner, a defined control expectation and evidence that the control operates.
The answer should identify an accountable owner, a defined control expectation and evidence that the control operates.
The answer should identify an accountable owner, a defined control expectation and evidence that the control operates.
RESEARCH
The research library is published separately under /research/ using WordPress.
INDEPENDENT ADVISORY
For AI strategy, governance, Agentic AI, security, assurance or cyber-risk requirements, describe the decision you are facing and the context around it.