AI-Enabled Attack

An AI-enabled attack is a threat in which someone uses artificial intelligence tools or models to plan, execute, or scale a cyberattack or fraud scheme more effectively than traditional methods would allow. This might include using AI to generate convincing phishing emails at volume, identify vulnerabilities in systems faster, or automate social engineering campaigns that adapt in real time. For governance and compliance teams, these attacks matter because they are harder to detect and defend against with legacy controls, they can evade detection systems trained on older attack patterns, and they demand faster incident response and updated security policies that account for AI-driven threats.

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ResearchEU2026-10-03

AI Agent Used as Attack Weapon in Breach of Security Research Org DIVD

Attackers attributed to agentic AI breached the Dutch Institute for Vulnerability Disclosure (DIVD), exploiting two previously unknown flaws in its Zammad support platform. The attack hijacked user sessions, ran unauthorized code, and reached the highest level of system access within seconds. Volunteer researcher email addresses were stolen, raising social engineering risks for the organization and its networks.

agentic AI AI incident zero-day exploit AI-enabled attack DIVD incident response social engineering EU