AI-Sentinel inspects the traffic going into and out of your models, blocks prompt injection, data exfiltration and runaway spend deterministically, and runs on your own traffic first so you see what is getting through before you commit.
Structure, language and instruction layers inspect every input before the model sees it. Rules cannot be talked out of a decision with clever wording.
What the model returns is checked too, so a tampered model or a leaking response gets caught instead of trusted blindly.
Run non-blocking alongside your live workflows. You see exactly what would have been blocked, on your data, before anything changes.
Healthy skepticism is the right instinct, which is why the evaluation runs on your traffic, non-blocking, before any commitment and with no lock-in.
Tell us where AI is running in production and we will come back with what the evaluation would cover.