AI Security Blog
A personal experiment in AI-assisted security research — tracking emerging threats, attack surfaces, and policy shifts as AI reshapes the security landscape. Content is curated by Alex Ivanov and operationally automated with AI.
The Near-Metal Era: Why Mythos and GPT-5.4 Are the Ultimate Enterprise Stress Test
Evaluating the April 2026 releases of Mythos and GPT-5.4 Cyber through the lens of the 'Enterprise Stress Test' where legacy debt becomes an active exploit vector.
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Router, Orchestrator, or Prompt Chain? Agentic Patterns Are Security Choices
How agentic AI patterns like routers, prompt chains, and orchestrators shape trust, access, prompt injection risk, and blast radius.
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Masters of the Puppets: AI Agent Armies and the Next Cyber War
Cybersecurity is turning into an AI-vs-AI arms race. This post explains how attackers and defenders are building AI agent armies—and why the future of defense looks a lot like a living tower-defense game.
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AI Is an Amplifier, Not a Fixer: When Transformation Becomes a Stress Test
A concise, opinionated look at how AI adoption in security acts as a stress test that amplifies existing weaknesses in data, systems, and processes rather than magically fixing them.
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If You're Going to Run OpenClaw, Do It Like This! (or Don't Do It at All!)
A security‑first walkthrough for installing, hosting, and testing OpenClaw without handing it the keys to your life.
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The Invisible Threat: Why Backdoor Weights in Transformer Models Are Impossible to Detect
Modern transformer models ship with billions of opaque parameters and undisclosed training data. This post explains why backdoor weights are effectively impossible to verify and why runtime guardrails are mandatory even if you sanitize prompts.
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The Ralph Loop: How Agentic Automation is Reshaping Both Malware Development and Cyber Defense
The Ralph Loop pattern is accelerating both malware development and cyber defense. This post unpacks how agentic automation is being weaponized by threat actors, and how security teams can adopt the same architecture—Ralph-style loops, guardrails, and agentic orchestration—to keep pace.
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Agentic AI as an Attack Surface: Why LLMs Need Containment, Not Trust
Agentic AI systems are quietly turning every connected system into a larger attack surface. This post breaks down direct and indirect prompt injection and the concrete patterns security teams should enforce: containment, input/output filtering, least privilege, and zero trust for agents.
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2026 AI Security Predictions: What Vendors and Researchers Are Forecasting
A distilled summary of 2026 AI security consensus from leading vendors—the attack vectors and threats most organizations will face.
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