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AI CURATED HOT STORY · 11/14/2026

Multi-Agent Red-Blue Loop Auto-Generates and Proves Detection Rules

1 reports archived1 independent sourcesupdated 11/14/2026, 07:40:12
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1 Sources Cross-Validated

Detection-as-Code Foundry builds an adversarial multi-agent detection-engineering workflow on LangGraph, Pydantic, FastMCP and Claude, turning threats such as CVEs, CISA KEV entries and ATT&CK techniques into Sigma detection rules hardened through a Blue-vs-Red loop. Its key contribution is shipping a threat report and a reproducible proof bundle with positive corpus, benign baseline, adversarial mutations, FP/FN numbers and a computed coverage label, making rule validity verifiable rather than asserted.

LATEST/Detection-as-Code Foundry builds an adversarial multi-agent detection-engineering workflow on LangGraph, Pydantic, FastMCP and Claude, turning threats such as CVEs, CISA KEV entries and ATT&CK techniques into Sigma detection rules hardened through a Blue-vs-Red loop. Its key contribution is shipping a threat report and a reproducible proof bundle with positive corpus, benign baseline, adversarial mutations, FP/FN numbers and a computed coverage label, making rule validity verifiable rather than asserted.

Hourly heat curve

9 fully observed hours
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The line compares only sources observed throughout; gap hours are interpolated to keep the trend continuous.

Coverage timeline

Total 1 reports · Latest first
  1. Hacker News AIT2·71 pts

    Multi-Agent Red-Blue Loop Auto-Generates and Proves Detection Rules

    • Red commits to two real documented attacks in round one, forming a bounded fixed adversary instead of unbounded drift
    • Ships three artifacts: a Sigma rule, a threat report with round-by-round convergence history, and a proof bundle with FP/FN and hashes
    • Coverage labels real-coverage, brittle and broken quantify rule strength instead of subjective claims