OEM
Add AI Agent Security and Endpoint Posture to Your Product — Don't Build It
Your customers run AI agents — Cursor, Claude Code, Codex, OpenClaw — on laptops, CI/CD runners, and agent hosts, and they expect you to secure them. EDAMAME Core gives you a production-ready engine as a native library: runtime verification for AI agents, supply-chain attack detection, and endpoint posture across macOS, Windows, Linux, iOS, and Android — so you ship AI-agent security without building an endpoint team.
Why OEM
Two Problems. One Engine.
Security, compliance, and zero-trust vendors face a common fork: spend years building cross-platform agents that can watch AI agents at runtime, or license a proven engine and focus on your core differentiation. EDAMAME Core is that engine — the same one behind EDAMAME's runtime verification for AI agents and endpoint posture.
Multi-Platform Coverage You Don't Have to Build
A single Rust codebase compiles to native libraries for macOS, Windows, Linux, iOS, and Android. Your customers' AI agents run on laptops, runners, and agent hosts — one integration gives you consistent posture and runtime signals everywhere they operate.
AI Agent Runtime Verification, Built In
Watch AI agents from outside the agent, at the OS boundary: intent-divergence scoring plus attack-pattern findings — credential harvest, token exfiltration, tool poisoning, supply-chain compromise. Built on threat models, OS hardening, and network scanning refined over years of security research.
Ship Months Sooner
Skip the multi-year build cycle. EDAMAME Core ships as a linkable library with 175+ documented API methods, reactive event streams, and compile-time feature flags. Your first integration can be live in weeks, not quarters.
