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