Knowledge
Clear answers for systems that create consequences.
Public research, explanations and technical evidence about authorization, execution governance, resilience and assurance.
Can We Control AI Agents Without Fully Understanding How They Think?
Why deterministic authorization can govern probabilistic reasoning without claiming to explain it.
AnswerWhat is AI execution governance?
The controls between a model’s proposal and a real-world consequence.
ExplainerWhat is agent authorization?
Identity grants access; action authorization evaluates a specific proposed action.
ArchitectureWhat happens when evidence changes after AI reasoning?
Reasoning can become stale before execution. Revalidation closes that gap.
Technical evidenceHow do you test whether an AI agent fails safely?
Reproduce state changes, observe side effects and compare expected with actual behavior.
ExplainerAuthentication vs action authorization
Being recognized is not the same as being permitted to take a consequential action.
AnswerHow do you govern messy human instructions before machine execution?
Convert intent into reviewable fields and resolve ambiguity before action.
ArchitectureHow should autonomous cybersecurity response be controlled?
Response speed must not remove authorization, scope limits or evidence.
Technical evidenceHow do you verify what an AI agent actually executed?
Compare the authorized proposal, observed side effects and resulting state.
ExplainerWhat is business continuity intelligence?
External disruption and dependency context for operational decisions.
AnswerHow do cybersecurity benchmarking and XDR work together?
One measures posture; the other operates and responds.