


Semantic Observability for UNIX Systems - A lightweight C-based system prober with AI-powered analysis


Pre-execution intent verification for AI agents. Audits what your AI is about to do, not what it says. Zero dependencies, deterministic, hash-sealed.

All-source intelligence fusion dashboard — WiFi, cellular, CCTV, ADS-B, orbital & SDR feeds unified into a single tactical map. Security research…

Anticipator is an open-source threat detection platform for multi-agent AI systems.

AI coding agents that can't exfiltrate secrets or merge their own PRs.

8 Lessons, Kick-start Your Cybersecurity Learning.

Cyber Panel - The hosting control panel for OpenLiteSpeed


A self-hosted sandbox for red teams to test payloads against modern detection before deployment. MCP integration lets an LLM agent drive analysis end…

A secure* runtime for autonomous AI agents. Policy from plain-English constitutions. (*https://ironcurtain.dev)

Execution-Layer Security (ELS) for AI agents — policy-enforced shell with audit.

Secure runtime to sandbox AI agent tasks. Run untrusted code in isolated WebAssembly environments.

A native policy enforcement layer for AI coding agents. Built on OPA/Rego.

AI runtime inventory: discover shadow AI, trace LLM calls

Kernel-level eBPF sandbox for securing LLM agent tool calls made through the Model Context Protocol (MCP)