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Documented

AI-Driven Malware Causes Real-World Harm and Evades Detection

September 21, 2026
oecd:2026-09-21-5982View source ↗

What happened

Researchers have discovered multiple malware samples, including CLOSEDQUORUM and PROMPTFLUX, that use AI models for autonomous control, adaptive behavior, and self-rewriting to evade detection. These AI-powered malware have been used in live attacks, resulting in data and credential theft, highlighting a new wave of cyber threats.

Reported impact

Affected parties
Not publicly disclosed
Harm type
Not publicly disclosed
Scale
Not publicly disclosed
Financial impact
Not publicly disclosed
Regulatory action
Not publicly disclosed

Classification

Organization
Not publicly disclosed
AI system
Not publicly disclosed
Industry
Not publicly disclosed
Country
Not publicly disclosed
Provider
Not publicly disclosed
Incident type
Not publicly disclosed

Relevant governance controls

Governance control mapping is not available for this record.

  • No controls mappedNot publicly disclosed

Control mapping is analytical. It does not state that any control would have prevented the incident.

Sources and evidence

OECD AI Incidents Monitor
Primary source
AI-Driven Malware Causes Real-World Harm and Evades Detection
2026-09-21