
Sentinel AI
Spot Risky AI Behavior Before It Ships
Sentinel AI launched on June 7, 2026 with 3 votes, #6,658 of 22,647 launches that month and more than 50% of that year's launches.
What it does
SentinelAI is a lightweight AI safety and observability layer for LLM applications. Unlike tools focused on model evaluation or output generation, SentinelAI monitors both prompts and responses in real time, detects prompt distribution shifts, flags risky outputs, and combines multiple signals into a unified, explainable risk score. Developers can integrate it through a simple API to catch AI failures before they reach users.
(Security layer for LLMs.) Detect hallucinations, jailbreaks, and unsafe responses before they hit production. Your prompt → detectors → aggregator → log pipeline, automated. Every LLM interaction passes through four layers — automatically. Anomalies caught. Risks scored. Threats stopped. Every prompt enters SentinelAI before hitting your LLM. We capture the raw input, embed it, and compare against your baseline distribution to detect distribution shifts instantly. Prompt anomaly detection runs in parallel with output risk scoring across 7 risk categories — violence, hate speech, misinformation, privacy violations, and more. Rule-based heuristics with weighted severity. Weak signals get…from sentinelaihq.com
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