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AI-Accelerated Adversary Emulation for Critical Infrastructure Security

2 posts · Aug 2025 – Jan 2026

What this trail covers

Anthropic is developing and evaluating AI capabilities for accelerating cybersecurity defense, specifically in the area of adversary emulation for critical infrastructure. This involves using AI models like Claude to automate and speed up the process of modeling threat actors and attacks against complex systems, such as water treatment plants. The goal is to enable faster iteration on red teaming exercises, identify vulnerabilities more quickly, and improve defensive strategies. This work also involves developing novel evaluations to measure AI performance in tasks like correlating accounts, classifying individuals, and geolocating targets from images and text. Recent work has focused on enabling these agents to interact with development environments, resolve issues, and generate code through composable 'Agent Skills', and has demonstrated success in authoring exploits for specific browser vulnerabilities. Claude Opus 4.5 demonstrates stronger prompt injection robustness.

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