Encased — AI agent security

AI runtime guardrails · AI agent security

AI runtime guardrails that work in production. Your agents will go rogue — encase them first.

Deterministic runtime guardrails sever network, revoke tokens and snapshot memory the instant an agent loops, drifts or tries to exfiltrate — then a human decides what happens next.

Watch a live breakout

AI runtime guardrails: three gates of enforcement

Gate 1 · Network

Egress whitelist. Calls to unknown hosts are dropped before a byte leaves.

Gate 2 · Process

Recursion and semantic-drift sensors kill loops and injected instructions.

Gate 3 · Token

Velocity caps and instant key revocation stop runaway spend.

How Encased contains rogue AI agents

Quarantine Vault

Forensic snapshot of every breakout with one-click rinse, patch or purge.

Human Review Queue

Destructive actions are proposed, never auto-approved.

Forensic Copilot

Bring your own model key to explain root cause and suggest a policy patch.