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<channel><title>Decima Research</title><link>https://decima.systems/research/</link>
<description>Perspectives on autonomous security, independent models and useful evidence.</description>
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<item><title>Define Autonomous: Every vendor in offensive security uses the word. Almost none of them mean the same thing by it.</title>
<link>https://decima.systems/research/what-autonomous-means-offensive-security/</link><guid isPermaLink="true">https://decima.systems/research/what-autonomous-means-offensive-security/</guid>
<description>XBOW sells full autonomy. Horizon3 advertises that AI never executes exploits. What the independent research says, and four questions that tell a buyer which machine they are purchasing.</description>
<pubDate>Fri, 02 Oct 2026 04:00:00 GMT</pubDate>
<dc:creator>Decima Systems Security Research Team</dc:creator>
<category>Autonomous penetration testing</category><category>AI agent offensive security</category><category>XBOW Horizon3 Pentera comparison</category><category>Adversarial exposure validation</category><category>Security benchmark reproducibility</category>
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<item><title>The $155 Million Signal: XBOW’s funding, the AI pentesting market, and Decima’s next move</title>
<link>https://decima.systems/research/xbow-funding-autonomous-pentesting-market/</link><guid isPermaLink="true">https://decima.systems/research/xbow-funding-autonomous-pentesting-market/</guid>
<description>XBOW’s $120M Series C grew by another $35M. What the funding means for autonomous AI pentesting, competition, pricing and Decima’s regulated-market focus.</description>
<pubDate>Tue, 22 Sep 2026 04:00:00 GMT</pubDate>
<dc:creator>Decima Systems Security Research Team</dc:creator>
<category>XBOW Series C funding</category><category>Autonomous AI pentesting market</category><category>AI penetration testing competition</category><category>Continuous security testing pricing</category><category>Regulated financial services cybersecurity</category>
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<item><title>Anatomy of an Autonomous Breach: Deconstructing the OpenAI–Hugging Face Incident</title>
<link>https://decima.systems/research/openai-hugging-face-agent-intrusion/</link><guid isPermaLink="true">https://decima.systems/research/openai-hugging-face-agent-intrusion/</guid>
<description>What the OpenAI–Hugging Face incident reveals about AI agent sandboxing, shared infrastructure, credential boundaries, forensic models and trustworthy audit logs.</description>
<pubDate>Tue, 22 Sep 2026 04:00:00 GMT</pubDate>
<dc:creator>Decima Systems Security Research Team</dc:creator>
<category>OpenAI Hugging Face incident</category><category>AI agent sandbox security</category><category>Autonomous agent intrusion</category><category>ExploitGym reward hacking</category><category>AI incident response</category>
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<item><title>The Autonomous Advantage: Why AI Pentesting Needs an Independent Architecture</title>
<link>https://decima.systems/research/autonomous-ai-pentesting-architecture/</link><guid isPermaLink="true">https://decima.systems/research/autonomous-ai-pentesting-architecture/</guid>
<description>Decima’s approach to autonomous AI pentesting: self-hosted models, a Kali-based harness, budget-led testing and evidence built for security and compliance teams.</description>
<pubDate>Tue, 22 Sep 2026 04:00:00 GMT</pubDate>
<dc:creator>Lennart Lopin</dc:creator>
<category>Autonomous AI pentesting</category><category>Self-hosted security models</category><category>Continuous security validation</category><category>Security reporting</category>
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