# CISO Adversarial North Star

When an AI agent escapes its sandbox -- and at a 93% jailbreak success rate, it will -- `nucleus lockdown` drops every agent in your fleet to read-only in under one second, with a signed witness chain proving exactly what each agent touched before, during, and after the incident.

The lockdown is enforced by a permission lattice that is a formally verified Heyting algebra -- not a policy file an agent can edit, but a mathematical structure the Lean kernel has proven cannot be escalated. Every tool call is intercepted by a kernel-level proxy, exposure-classified by sandbox observation, and attested with per-executor cryptographic signatures.

The OTLP telemetry pipeline emits structured spans for every permission verdict -- allow or deny -- with full capability levels, exposure state, and lattice checksum. These flow to your existing Grafana/Datadog/Splunk via any OTLP-compatible backend. You see every agent's permission state in real-time, not after the fact.

The fleet lockdown propagates via gRPC bidirectional streaming with HMAC-authenticated connections. When the kill switch fires, every connected tool-proxy receives the command within milliseconds and ACKs back. A signal file fallback survives network partitions. OR-semantics ensure that if either path says locked, the agent is locked -- no race condition can undo a lockdown.

The incident replay reconstructs a visual timeline from the witness chain, and the compliance export generates the SOC 2 / EU AI Act evidence package from the same data. The formal proofs are open source. The kill switch is the product.
