SentinelMesh — Enterprise AI Security

Enterprise AI agents are powerful — but ungoverned. A single manipulated prompt can leak credentials, exfiltrate PII, or trigger unauthorized actions inside production systems. Most teams have no visibility into what their agents are doing until something breaks. SentinelMesh solves this with a three-layer security architecture built on top of Lobster Trap, a custom Go-based Deep Prompt Inspection proxy: • Ingress DPI: Every outgoing prompt inspected in under 1ms via regex pattern matching. Prompt injections, PII requests, malware generation, data exfiltration, obfuscation, and sensitive path access blocked before they reach the model. • Egress DPI: Every model response buffered and inspected before delivery. Credentials and PII in outputs blocked at the proxy layer. • Intent Mismatch Detection: Each agent declares its intent per-request. Lobster Trap independently classifies actual intent. Mismatches trigger HUMAN_REVIEW — compliance officers approve or reject from the live dashboard. Three-layer RBAC is enforced independently at: the LangGraph orchestrator, the ChromaDB vector store, and the Lobster Trap policy file. Any single layer can block a request. The result: a 14-vector adversarial test suite with all attacks blocked, a live governance dashboard with real-time audit logs and attack heatmaps, and a Railway-deployed backend enterprise security teams can evaluate today.