Watches in real time
Continuous monitoring across traffic, models, and the data they touch, so the picture of what is happening is current, not a report you read the next morning.
A division of AI Depo
Security that watches in real time.
Sentinel AI runs AI-driven security operations for the systems you put into production. It watches your traffic, your models, and the data they touch, flags anomalies as they appear, and moves to contain them, with guardrails that protect your models and prompts from abuse. Built for teams shipping AI into production, where the attack surface is the model itself, not just the network around it.
// watch · detect · contain · guard
WHAT IT DOES
Security operations, run by a system that never blinks.
Sentinel sits across the surfaces an AI system exposes: the requests coming in, the models answering them, and the data those models read and write. It looks for what does not belong, raises it with context, and contains it so a single bad request does not become an incident.
Detects and contains
Anomalies get flagged the moment they surface and contained before they spread, so a strange request is isolated rather than left to keep running.
Guards models and prompts
Guardrails protect your models and prompts from abuse, from prompt injection and jailbreak attempts to attempts to pull data the model should never expose.
HOW IT WORKS
Observe. Detect. Contain.
A loop that runs without waiting for a person to look. Sentinel takes in signal from across your stack, decides what is worth acting on, and acts, then keeps watching.
Observe
Sentinel ingests signal from across the stack: request patterns, model inputs and outputs, and how the data layer is being read and written, all in real time.
Detect
It separates normal from suspect and judges what deserves a response, so alerts carry context and responders act on what actually matters rather than noise.
Contain
When something crosses the line, Sentinel moves to isolate it: throttling, blocking, or quarantining the request and its blast radius before it reaches the model or data.
WHY IT MATTERS
AI systems have a new attack surface. The model is part of it.
When you put models in front of real users and real data, the prompt becomes an input an attacker controls. Injection, jailbreaks, and attempts to make a model leak what it should not are now part of the threat picture, alongside the traffic and access patterns security teams already watch. Sentinel covers both, so the model is defended like the rest of the stack.
- REAL-TIME Monitoring across traffic, models, and data as it happens, not a digest reviewed after the fact.
- CONTAINED Anomalies are flagged and isolated automatically, so the response does not wait on someone being awake.
- MODEL-AWARE Guardrails built for prompts and models: injection, jailbreaks, and data the model should never reveal.
- CLEAR-SIGNAL Alerts carry context, so responders see what was flagged, why, and what Sentinel already did about it.
ONE LANE OF MANY
Sentinel AI is a division of AI Depo.
AI Depo is the depot where businesses come to get intelligent software built, integrated, deployed, and operated. Sentinel is the security lane: it watches and defends what the rest of the depot ships. Its flagship lane is Interlink LLMOps, which wires foundation models into clients' systems and data, and Sentinel guards those models once they are live, alongside agents, data, and managed deployment.
START A PROJECT
Putting AI into production? Defend it.
Sentinel watches your traffic, models, and data, flags anomalies, and contains them, with guardrails built for prompts and models. Tell us what you are running and we will scope the watch with you.