Sentinel AI

SentinelAI offers a robust safety and observability layer for language model applications, providing critical oversight of interactions. Key capabilities include: * Real-time monitoring of prompts and responses * Detection of prompt distribution shifts * Flagging of risky or unsafe outputs * Unified, explainable risk scoring * Simple API integration for developers This system ensures that potential issues like hallucinations, prompt injections, and policy violations are identified before they impact end-users. It goes beyond mere model evaluation, continuously assessing both incoming prompts and outgoing content against defined baselines and risk categories, including violence, hate speech, misinformation, and privacy. Weak signals from multiple detectors are combined into a single, comprehensive risk score, complete with explainable flags and confidence metrics. This transparency allows engineering teams to understand precisely why a particular interaction was flagged. SentinelAI integrates seamlessly into existing development stacks with a lightweight API, offering asynchronous processing to avoid latency. Primarily built for engineering teams and developers, SentinelAI is essential for maintaining product integrity and user trust in applications leveraging large language models. It's ideal for anyone needing to ensure content safety and operational reliability without deep dives into complex underlying mechanisms.