INSPECTING ARCHIVED INTELLIGENCE (OUTDATED VERSION).

AI Hacking Causes 25 Percent of Global Malicious Data Breaches

| 2026-10-04 15:51 CRITICAL LOW AI-ENABLED ATTACK · AUTONOMOUS DATA BREACH
Executive Summary
AI-generated
A highly targeted AI-based cyberattack was detected in South Korea on October 4, 2026, targeting domestic companies. According to IBM's '2026 Data Breach Cost Report', published last year, 25% of data breaches between March and February this year involved AI-powered attacks, up 56% from the previous year. The attack rate in South Korea reached 31%, higher than the global average of 25%. Finance and energy sectors were most targeted with an average loss of $6,300,000 and $5,200,000 respectively, significantly higher than the overall average. AI itself is also becoming a new target for attacks, with over 20% of companies experiencing an attack on their AI model or application due to vulnerabilities in APIs, applications, and plugins, as well as configuration errors in cloud settings.
Technical Mitigations AI-generated
• Patch vulnerabilities in application programming interfaces (APIs), applications, and plugins. • Configure cloud settings to prevent configuration errors that allow AI operations to be compromised. • Implement AI agents to detect and block hacking attacks.
Intelligence Metadata
Actors / Malware / CVEs / Campaigns
Target & Sectors
KR
energyenergy financefinance
Incident Timeline
‎2025/10/04
Threat actors used AI-powered attacks to cause 25% of data breaches between March last year and February this year.
tactic Data Breach
attribution IBM
general_metric 25 %
general_metric 56 %
‎2026/10/04
Threat actors used AI-based methods, including deepfakes and malicious code, to impersonate sources and exploit vulnerabilities in 456 organizations.
financial $6,000,000 hacking
victims 456 organizations
Tactical Metrics
Metrics
financial
6,000,000
Financial Impact / Stolen Funds
Metrics
victims
456
Organizations
Intelligence Sources