AI Authority
The security boundary created when AI can interpret untrusted content, inherit trust or exercise tools and permissions.
Browse all 3 analyses →Questions this collection helps you examine
- Which tools and permissions can the AI workload exercise?
- Where can untrusted content cross an authority boundary?
- What evidence demonstrates containment and effective revocation?
Each analysis keeps the incident evidence, deployment assumptions and practical decision together. Use the collection to compare cases across sectors.
Analysis, newest first
All decision collections →Railway AI Needs Independent Evidence Before It Gets Exceptional Authority
A deterministic control layer is not independent defence if it relaxes authority using the same poisoned telemetry as the AI system it supervises.
Require independent operational corroboration before AI-derived emergency state can relax deterministic limits or expand railway control authority.
Prompt Injection Is an Authority-Boundary Failure
When an AI system reads untrusted content and can act on tools, the security question becomes which text is allowed to become authority.
Design prompt-injection resilience as layered authorization: model training plus least-privilege tools and confirmation boundaries.
AI Agents Turn Excessive Permission into Operational Risk
An agent becomes security-sensitive when it can combine untrusted information with credentials, tools and the authority to take action.
Treat agent permissions as short-lived delegated authority with independent gates for high-consequence actions.