INSPECTING ARCHIVED INTELLIGENCE (OUTDATED VERSION).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.
Click on any entity below to view its context and source!
tactic
Data Breach
According to IBM's '2026 Data Breach Cost Report', published in July last year, 25% of data breaches that occurred between March last year and February this year involved AI-powered attacks, up 56% from last year.
attribution
IBM
According to IBM's '2026 Data Breach Cost Report', published in July last year, 25% of data breaches that occurred between March last year and February this year involved AI-powered attacks, up 56% from last year.
general_metric
25 %
According to IBM's '2026 Data Breach Cost Report', published in July last year, 25% of data breaches that occurred between March last year and February this year involved AI-powered attacks, up 56% from last year.
general_metric
56 %
According to IBM's '2026 Data Breach Cost Report', published in July last year, 25% of data breaches that occurred between March last year and February this year involved AI-powered attacks, up 56% from last year.
2026/10/04
Threat actors used AI-based methods, including deepfakes and malicious code, to impersonate sources and exploit vulnerabilities in 456 organizations.
Click on any entity below to view its context and source!
financial
$6,000,000 hacking
The average loss from AI hacking was $6,000,000, significantly higher than the overall average loss of $4,990,000.
victims
456 organizations
A follow-up investigation conducted in May this year, targeting 456 organizations, found that companies using AI agents to detect and block hacking attacks outnumbered those using them to find vulnerabilities in advance by more than half.
Tactical Metrics
Metrics
financial
6,000,000
Financial Impact / Stolen Funds
Click for context!
The average loss from AI hacking was $6,000,000, significantly higher than the overall average loss of $4,990,000.
Metrics
victims
456
Organizations
A follow-up investigation conducted in May this year, targeting 456 organizations, found that companies using AI agents to detect and block hacking attacks outnumbered those using them to find vulnerabilities in advance by more than half.
Intelligence Sources
Chosun Economy
2026-10-04
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Tactical Intelligence
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Incident Version History
CURRENT VERSION
Last Updated: 2026-10-06T10:54
Comprehensive Tactical Telemetry
Highly Correlated Entities
6x
general metric
%
62
%
3x
industry
Targeted Sector
Finance
sector
2x
tactic
Cyber Operation Type
Data Breach
tactic
2x
timeline
Temporal Reference
2025/10/04
date
Contextual Telemetry
Context Block
8 METRICS
target region
Target Country
Korea, Republic of
country
attribution
Attributing Entity
IBM
authority
source region
Origin Region
DPRK
region
source region
Origin Country
China
country
tactic
MITRE ATT&CK Technique
T1588.007 - Artificial Intelligence
technique
financial
Financial Impact / Stolen Funds
6,000,000
hacking
general metric
Domestic Companies
30
domestic companies
victims
Organizations
456
organizations
Click on any entity below to view its context in the main text!
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