Overview
What SentinelAI is, why it exists, and what it does
AI risk monitoring for production LLMs
LLMs are confident. They're also wrong — inventing citations, flipping numbers, and blending entities with zero hesitation. SentinelAI sits between your app and your LLM, scoring every prompt/response pair in real time, explaining the risk, and acting on it — before bad output reaches a user.
What SentinelAI does
- Scores risk on a 0–100 trust scale for every prompt/response pair
- Explains every score with named flags and a human-readable reason — not a black box
- Acts on risk — allow, warn, block, or escalate via the policy engine
- Tracks conversations across multi-turn context
- Integrates in 3 lines with the Python SDK
The problem
Organizations deploying LLMs face three converging crises:
| Crisis | The numbers | The consequence |
|---|---|---|
| Security | Prompt injections up 340% YoY (OWASP LLM Top 10) | Data exfiltration, brand damage, unauthorized access |
| Observability | Zero dedicated tools for AI risk monitoring | Teams build custom scripts, miss critical signals |
| Compliance | EU AI Act effective Aug 2026, ISO 42001 certifying | Six-figure fines, blocked market access |
Existing tools are fragmented: ML monitoring platforms show scores without reasons, security tools flag threats without explanation or audit trails, and APM extensions bury AI risk inside infrastructure dashboards.
SentinelAI connects security detection, explainable investigation, and compliance audit in a single workflow.