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<description>Field notes from I-314 Security Research on AI security, post-quantum cryptography and adversarial testing of agentic systems.</description>
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<title>Zero Trust for AI Isn't One Wall — It's Two Planes and an Auditor</title>
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<pubDate>Mon, 21 Jul 2026 10:00:00 GMT</pubDate>
<author>contact@i-314.com (Juan Pablo Braña)</author>
<description>Most "Zero Trust for AI" pitches collapse into one inline filter — one wall guarding one door. A real posture answers two enforcement questions at two planes (ingress and runtime authorization) plus an out-of-band auditor that proves they hold and never becomes the wall.</description>
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<title>The silent Quantum-Hadamard bug: when initializing your qubits "the usual way" destroys your risk model</title>
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<pubDate>Mon, 21 Jul 2026 09:00:00 GMT</pubDate>
<author>contact@i-314.com (Juan Pablo Braña)</author>
<description>A single Hadamard gate can turn a portfolio's riskiest asset into its safest — and the circuit never complains. How the textbook "Hadamard everything" reflex silently inverts an amplitude-encoded 110-qubit risk model, and why it isn't really a bug.</description>
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<title>Anatomy of an AI Research Agent That Doesn't Hallucinate</title>
<link>https://i-314.com/article-research-agent-en.html</link>
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<pubDate>Sat, 24 May 2026 10:00:00 GMT</pubDate>
<author>contact@i-314.com (Juan Pablo Braña)</author>
<description>We built an autonomous AI agent that generated 36 security papers in 42 days — all smoke. We audited every one, dissected five systemic failure modes, and rebuilt the pipeline with seven validation gates that eliminated hallucination.</description>
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<title>Capturing OWASP FinBot CTF: A Source-Aware Methodology for Agentic AI Red Teaming</title>
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<pubDate>Sun, 26 Apr 2026 10:00:00 GMT</pubDate>
<author>contact@i-314.com (Juan Pablo Braña)</author>
<description>Two-day engagement against OWASP's FinBot CTF with Ai-EGIS v3.0: 19/19 challenges captured, 7,315 points, 37/31 badges. Introduces Tool Output Mimicry — a novel primitive for defeating multi-agent guardrails — and a reusable source-aware methodology.</description>
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