Sentinel Guard

Sentinel Guard is an AI-native security layer designed to protect LLM applications from prompt injection, jailbreaks, and adversarial manipulation. Traditional security tools fail in this space because LLMs are designed to accept natural language, not structured inputs. Sentinel Guard addresses this by introducing a hybrid decision engine that reasons about intent, escalation, and obfuscation rather than relying on static filters. Each prompt is evaluated through multiple layers: fuzzy pattern matching to detect obfuscated attacks, temporal intelligence to identify multi-turn escalation, and an explainable decision engine that outputs ALLOW, SANITIZE, or BLOCK with confidence scores and audit logs. For ambiguous edge cases, Sentinel Guard can optionally invoke a secondary LLM for adversarial intent validation. When unavailable, the system degrades gracefully without breaking functionality. Sentinel Guard acts as an AI WAF for LLMs, enabling organizations to deploy AI agents safely on the public internet with real-time protection, minimal false positives, and full explainability.