Least privilege
Unknown capabilities are denied and high-risk work requires explicit approval in the published engineering foundations.
KING AIPublic principles
Security Engineering
More capable AI requires clearer authority, evidence and recovery.
Evidence
Audit records should preserve decisions without exposing prompts, secrets or raw sensitive targets.
Residual risk
No AI or security system is risk-free. Deployment design must account for model errors, tool misuse, configuration failure and operator responsibility.
Human control
People remain responsible for authority, exceptions, review and recovery.
Continuous review
Named owners should review permissions, approvals, logs and exceptions instead of treating controls as one-time setup.
Account for residual risk
Models and automation can still fail. Systems need clear paths for human takeover, stopping and recovery.
Does this resemble your work?
Start with one real workflow.
Bring the problem, current systems and desired result. We will help identify a sensible first step.