The moment a model hits production, it becomes an attack surface your firewalls, EDR, and SIEM were never designed to watch. Prompt injection, jailbreaks, data leakage, silent drift — none of it trips a traditional control. And when a regulator or buyer asks you to prove the model is governed, "we think it's fine" isn't an answer.
This is the new exposure, and most teams are carrying it unmeasured. You can't defend what you don't monitor, and you can't prove what you don't capture.
Why traditional security misses it
Your existing stack watches infrastructure — networks, endpoints, access. A deployed model fails in ways that infrastructure monitoring never sees: it drifts, it's manipulated through its inputs, it leaks through its outputs. Watching the perimeter tells you nothing about the model itself.
You can't defend what you don't monitor — and you can't prove what you don't capture.
What "under control" actually requires
Two things working together: continuous monitoring and guardrails on the deployed model, and a live evidence record proving those controls are operating. One defends; the other demonstrates. Together they turn "we think it's fine" into a timestamped answer you can hand a regulator.
How Security Assured helps
Assured AI monitors your production models, enforces guardrails, and red-teams them the way an attacker would — while Evident AI captures the proof that it's all under control. Protect and prove, in one motion.
Explore Assured AI →The bottom line
AI in production is a different kind of exposure, and claiming it's governed isn't the same as proving it. Monitor the model, capture the evidence, and you can answer the question everyone's about to ask.