GreatAegis - PostQuantum Lab

GreatAegis is an unbreachable B2B AI security gateway designed to protect proprietary corporate knowledge bases from data leakages and emerging cryptographic threats. Built for the AMD Developer Hackathon (Track 3: Unicorn Track), GreatAegis bridges the gap between enterprise utility and total data sovereignty, unlocking secure AI adoption for highly regulated sectors such as banking, healthcare, and government. The Problem Standard cloud AI applications are highly vulnerable to Man-in-the-Middle network sniffing and API hijacking. Furthermore, enterprise data faces the critical threat of "Harvest Now, Decrypt Later" (HNDL)—where bad actors intercept and store corporate data streams today, waiting to crack their standard encryption protocols within seconds once commercial quantum computing matures. Our Core Solution & Architecture Zero-Trust Data-in-Transit (PQC Layer): Implements client-side Post-Quantum Cryptography using NIST-standardized algorithms (ML-KEM/Kyber). Document wrapping, encryption, and final responses are executed directly in the browser via Frontend Decryption, rendering intercepted network traffic into useless mathematical noise. Private AMD Compute Pod Isolation: Securely processes sensitive corporate data inside an isolated backend environment. Open-source Large Language Models (LLMs) and local Vector Databases (Qdrant/Chroma) run entirely on-premise within the AMD ecosystem, ensuring that proprietary data never leaves the secure workspace. Dynamic Intelligent Hybrid Routing: Optimizes computation costs and latency. A behavioral routing engine scans incoming user prompts on-the-fly. Hardware Stack & Performance Acceleration: Optimized using the AMD ROCm™ software stack and vLLM framework. Latency Overheads: achieving a negligible latency impact of just +0.05 seconds.