Omega Walls — a deterministic runtime security layer for RAG and AI agents that detects prompt injection, tool abuse, and data exfiltration via cumulative risk modeling.

Why every AI agent is vulnerable to prompt injection — and a proposed four-layer security architecture to fix it. HMAC auth + intent-based permissions + sandboxed execution + result audit.

Protect applications by managing untrusted content with a stateful runtime that enforces risk states and controls actions in RAG and agent systems.

A trust-boundary for AI Agents. Your agent doesn't hold your real credentials to accidentally leak 🔐

macOS local trust broker for agent-mediated tool execution with explicit trust modes, trust-pinned wrappers, and fail-closed credential handoff.