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Detection Engineering is a tactical function of a cybersecurity defense program that involves the design, implementation, and operation of detective controls with the goal of proactively identifying malicious or unauthorized activity before it negatively impacts an individual or an organization.

Endpoint detection for Windows, Linux, and macOS. Sigma, YARA, and IOC rules on native telemetry. Written in Rust. No cloud account required.

  • blue-team
  • detection-engineering
  • edr
  • endpoint-detection

Open detection-rule standard for AI agent security threats — like Sigma, but for AI agents. Executable, testable rules for prompt injection, tool poisoning, context exfiltration and MCP attacks. Merged into open-source projects at Microsoft, Cisco, Gen Digital, MISP and FINOS. MIT-licensed.

  • agent-security
  • ai-security
  • llm-security
  • mcp-security

🛡️ Free AI that blocks hackers while you sleep. Runs on cheap hardware. When someone in Tokyo gets attacked, you're protected in 30 seconds. No fees. No experts needed. Just protection. One node's detection → everyone's protection.

Zero-overhead eBPF process tracer for Linux malware triage and incident response. Traces syscalls, network, and file events per-process without strace overhead.

Self-hosted 4D spatiotemporal AI platform built on PostgreSQL, PostGIS, TimescaleDB, H3 and pgvector, with anomaly & threat detection, NLQ interface and full observability.

  • ai-platform
  • anomaly-detection
  • h3
  • nlq

Sigma Queries turned into KQL for Defender using pysigma - Automated

  • detection-engineering
  • kql
  • microsoftsentinel
  • mitre-attack