IntelliGuard - Injection Defense for Enterprise AI

Enterprise AI deployments face a critical unsolved problem: prompt injection attacks. A single malicious query can hijack an AI assistant, exfiltrate sensitive data, or manipulate autonomous agents into destructive actions. Research published in 2026 demonstrates that stylistic attacks like adversarial poetry achieve 62% attack success rates across frontier models including GPT-5, Claude, and Gemini. IntelliGuard is a production-ready 4-layer security pipeline built to stop these attacks. SPINE (DistilBERT) provides fast filtering of known attack patterns. DECODER normalizes 13 encoding types including Base64, Hex, Leetspeak, and Atbash cipher. BRAIN (XLM-RoBERTa), fine-tuned on a custom 88,000 sample adversarial dataset on AMD MI300X via ROCm 7.0, performs deep semantic analysis across 100 languages. JUDGE makes the final verdict. The system is deployed as a TechCorp Employee RAG Portal — a real enterprise use case where employees query internal documents through Qwen2.5-7B served via vLLM on AMD MI300X. Every query passes through IntelliGuard before reaching the LLM. The system also includes an enterprise agent firewall that intercepts malicious SQL commands before execution. Performance: BRAIN runs 4.2x faster on AMD MI300X than CPU baseline. Combined throughput of 48 requests per second. 99%+ F1 on validation set.