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@Detect-Forge

Detect Forge

Open-source detection engineering tools. ATT&CK staleness scoring, Sigma backtesting, and more. Built by @jamesbower · detectforge.io
  • United States of America

Detect-Forge 🔨

AI-native detection engineering tools for practitioners. Inspectable scoring. CI-native. BYOLLM. Built in the open.

Open-source CLIs and GitHub Actions for AI-native detection engineering. Built by James Bower — 25 years in security operations. The edge: applying quant and high-frequency research patterns to ML cybersec problems, in ways most of the industry hasn't considered.

The Bet

The overlap between detection engineers and AI/ML cybersecurity practitioners is an underserved audience. Enterprise platforms solve the detection lifecycle problem for Fortune 500 SOCs at $150K+ ACV. Detect-Forge solves it for the detection engineer with a CI pipeline.

Design Principles

  • Free + OSS + CI-native. Runs locally, runs in GitHub Actions, no data leaves your environment.
  • Explainability is a feature, not a constraint. Every score has a reason. Every layer is inspectable Python. Every AI output is human-gated. In security, false confidence is worse than slow.
  • BYOLLM. Opt-in LLM features use your API key — we never pay inference for you, and there's no vendor lock-in on model choice.
  • Quant research as an edge. HFT and quant finance already solved signal decay, embedding drift, and multi-signal scoring — years before ML cybersec ran into the same problems. Detect-Forge imports those patterns into detection engineering, not the other way around.

Tools

Tool Description Status
ttp-staleness AI-native Sigma rule freshness auditor. Three-dimension scoring: timestamp drift (deterministic) + semantic drift (local embeddings) + LLM diff proposals (BYOLLM, opt-in). KQL + EQL in v0.2. 🔨 Launching May 23, 2026
detection-backtest Quant-based backtesting for rules against the Atomic Red Team EVTX corpus. Precision, recall, F1 scoring. Catch noisy rules before they fire in production. 📅 Launching Jun 28, 2026

Roadmap

Current tools are AI-native. Later tools on the roadmap go agentic:

  • shadow-ai-detect (late 2026) — AI agent governance SDK for security teams. OAuth sprawl, prompt injection, privilege escalation in multi-agent pipelines.
  • detection-eng-agent (2027) — open-source agentic SOC capabilities focused on triage and backtesting sub-agents.

Stay Connected

  • 📝 Blog & articlesjamesbower.com
  • 📧 Newsletter — get the GitHub link 24 hours before each launch → Subscribe
  • 🎮 Discord — Machine Learning in Security → Join
  • 🌐 SaaS (coming Q3 2026) → detectforge.io

Built by Bower Enterprises LLC · ML cybersec with a quant finance edge

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