AI runtime inventory: discover shadow AI, trace LLM calls
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Updated
Jan 19, 2026 - Shell
AI runtime inventory: discover shadow AI, trace LLM calls
Monitor, detect, and analyze security threats and Shadow AI in your LLM applications with comprehensive analytics and real-time alerting.
Open-source desktop agent for monitoring AI tool usage across your organization. Book a demo at oximy.com
Multi-layer AI agent detection: Static code analysis, network monitoring, and Kubernetes runtime visibility with eBPF.
PolicyBind is an AI Policy-as-Code platform that enables organizations to govern AI usage through a unified model registry, real-time token-based access control, and automated compliance reporting for frameworks like the EU AI Act and NIST AI RMF.
Rules and signatures to detect shadow AI
Build MVPs with AI that never forgets. Shadow AI system - 87% token reduction, zero knowledge loss.
Framework S.H.A.D.E. — Scorecard locale et privacy-first pour diagnostiquer la Shadow AI.
Privacy-first Linux agent providing governance and telemetry for AI and LLM usage.
Multi-tenant MCP Gateway - Connect AI assistants to 100+ MCP servers via Model Context Protocol
🔒 Autonomous Zero Trust Security Agent for Cloudflare Workers - AI-powered API protection with Shadow AI detection, deception honeypots, and real-time threat analysis.
🔍 Monitor AI usage on Linux endpoints with a privacy-first approach, ensuring security without content capture in your environment.
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