๐Ÿ›ก๏ธ

GARRISON LLM Hardening Gateway ยท Live Defense Console

provider โ€” Llama Guard โ€” connectingโ€ฆ
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Requests
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Injections Blocked
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Manipulation Flags
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Secrets Redacted
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Actions Blocked
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Agents Halted
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Tools Denied
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Alerts Logged

โš”๏ธ Attack Simulator โ€” fire an attack, watch GARRISON stop it

attacks run as agent demo-attacker
Fire an attack above โ€” verdicts appear here.

๐Ÿšจ Tamper-Proof Alert Feed โ€” the model can't see or edit this

No alerts yet.

๐Ÿ•ต๏ธ Agents Under Watch

No agents yet. Fire an attack to see one.

๐ŸŽ›๏ธ The Control Problem โ€” Practical Edition

The fear the AI leaders are naming

AI leaders warn we could build a system that, as Sam Harris put it, "could, at a certain point, no longer care what we want" โ€” autonomous agents that self-improve and slip human control. That's the control problem, and it's the whole reason the UN Security Council is now hearing about AI.

What GARRISON actually does about it

You can't trust a model to police itself. GARRISON puts control OUTSIDE the model โ€” a boundary it can't see, bypass, or falsify โ€” with a kill switch and tamper-proof alerts. It's the control problem applied to the AI we actually run in production today. It does not claim to contain hypothetical superintelligence โ€” and being honest about that is the point.

Every button in the Attack Simulator above is that principle working โ€” external control stopping an attack the model itself would have obeyed.

๐Ÿ—บ๏ธ OWASP LLM Top 10 (2025) โ€” Coverage

โœ… enforced ยท โš ๏ธ partial / detect-only ยท โ—‹ out of gateway scope โ€” honesty is the point: GARRISON hardens the boundary, it doesn't claim to make a model invulnerable.

๐Ÿ”ฌ Independent Evaluator โ€” run the attack battery, score GARRISON, map to OWASP ยท NIST ยท ATLAS

Full report โ†—