AI-Assisted Attack

AI-assisted attack refers to cyberattacks in which criminals or state actors use artificial intelligence tools to write malicious code, craft convincing phishing emails, generate deepfake voices or video, or speed up reconnaissance against target organizations. For compliance and risk teams, the concern is that these tools lower the skill and cost needed to run effective attacks, which raises the likelihood of fraud, data theft, and social engineering incidents that can trigger breach notification duties and regulatory scrutiny. Governance programs should treat AI-enabled threats as a reason to strengthen payment verification, employee identity checks, and incident response plans.

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ResearchGlobal2026-10-27

AI Agent Found Four Critical Flaws in Industrial Control Software in Under Four Hours

An autonomous AI agent named Cipher, built by Causal Security, discovered four previously unknown vulnerabilities in EPICS, an open-source toolkit used to control particle accelerators and fusion reactors worldwide. One flaw carries a critical 9.8 out of 10 severity rating, meaning an attacker could take over a target system entirely without needing physical access. The finding signals that AI is now capable of rapidly surfacing critical infrastructure vulnerabilities that previously went undetected.

Causal Security critical infrastructure OT security agentic AI vulnerability disclosure industrial control systems AI-assisted attack