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  <title>Agentic Threat Lab</title>
  <subtitle>Detection engineering for the agentic web: A2A, Poppy, MCP.</subtitle>
  <link href="https://lab.cidari.ai/"/>
  <link rel="self" href="https://lab.cidari.ai/feed.xml"/>
  <id>https://lab.cidari.ai/</id>
  <updated>2026-10-23T00:00:00Z</updated>
  <author><name>Agentic Threat Lab</name></author>
  <entry>
    <title>AI for adversarial emulation — primer and lab curriculum</title>
    <link href="https://lab.cidari.ai/notes/2026-10-23-ai-adversarial-emulation"/>
    <id>https://lab.cidari.ai/notes/2026-10-23-ai-adversarial-emulation</id>
    <updated>2026-10-23T00:00:00Z</updated>
    <summary>What adversarial emulation is (and isn&#x27;t), what AI agents change — adaptivity, machine speed, per-generation polymorphism, near-zero marginal cost — and the lab&#x27;s curriculum for emulating machine-speed adversaries against its own behavioral Sigma rules.</summary>
  </entry>
  <entry>
    <title>AI-Agentic Threat Landscape — curated brief</title>
    <link href="https://lab.cidari.ai/notes/2026-10-22-ai-agentic-threat-landscape"/>
    <id>https://lab.cidari.ai/notes/2026-10-22-ai-agentic-threat-landscape</id>
    <updated>2026-10-22T00:00:00Z</updated>
    <summary>A primary-source survey of AI-agent threats as of October 2026: the Poppy Personal Agent Protocol attack surface, documented agentic attack teams (GTG-1002, DUSTMAKER/UNC6780), and autonomous-offense milestones, with the Project Black addendum on AI-driven polymorphic tradecraft.</summary>
  </entry>
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