Cerberus Gate

Streamlit
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Created by team AI Challenger on May 17, 2026
AI Agents with Google AI Studio

CerberusGate addresses a critical gap in enterprise LLM deployment: vulnerability to semantic attacks and indirect prompt injections within raw data processing. Built on an autonomous multi-agent pipeline using Gemini 3 Flash, the platform implements a strict defense-in-depth framework across three core pillars: 1. The Sentry Agent actively reads incoming document payloads to parse heuristic patterns and flag adversarial overrides, outputting a dynamic threat index score to trigger system circuit breakers. 2. The Worker Agent processes core operational tasks inside an isolated context instruction set, rendering safe business value without data leakage risk. 3. The Auditor Agent enforces strict compliance by validating final outputs against deterministic Pydantic JSON contracts to eliminate structural drift and hallucinations. By combining low-latency orchestrations with rigid schema enforcement, Cerberus Gate protects complex enterprise data pipelines from direct manipulation while providing transparent, auditable security logs.

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