Macnica counts 119 publicly disclosed web-system data breaches; AI’s role remains unclear
Macnica counted 119 publicly disclosed personal-data breaches involving Japanese web systems through October 6, 2026, with 81 disclosed from July onward.

Key takeaways · 5
- 01
The 81 disclosures are part of Macnica’s 119-case count, not 81 confirmed AI-powered attacks.
- 02
Macnica said 65 cases lacked enough explanation to classify, limiting analysis of a shared attack method.
- 03
JPCERT/CC confirmed attackers used AI to scan for known vulnerabilities and attack via APIs.
- 04
Macnica identified API flaws including excess data returned, excessive privileges, and functions available to anonymous users.
- 05
JPCERT/CC recommends giving API users and tokens only the minimum necessary privileges.
What the breach count includes
Macnica counted 119 publicly disclosed personal-data breaches involving Japanese web systems through October 6, 2026, and said 81 were disclosed from July onward.[1] The count covers publicly disclosed personal-information theft or leakage through web systems operated by domestic organizations from January 2024 through that date; ransomware is excluded.[2] Macnica said 65 cases lacked enough explanation to classify, and confirmed at least 25 cases involving website defacement or misuse that did not specify a concrete concern about personal-data leakage.[2] These limits matter when interpreting the total: it is not a count of all cyber incidents or confirmed AI attacks.
What investigators say about AI
Macnica said logs and traces did not prove AI use across the 81 cases it examined, and investigators had not confirmed AI-discovered zero-day vulnerabilities behind the broader breach wave.[1] Separately, JPCERT/CC said investigators confirmed attackers used AI to scan for known vulnerabilities and attack via APIs.[3] It also reported attack attempts abusing the AI-assisted penetration-testing platforms Cairn, CyberStrikeAI and ARTEX.[4] JPCERT/CC cautioned that the incidents it described were not necessarily carried out using the same method in every case.[4] Macnica said available information limits efforts to establish a shared method or measure AI’s exact role.[1]
Exposure spans more than storefronts
Macnica said attackers appeared to target a wide range of publicly accessible web systems, particularly sites holding personal information, rather than one specific company.[2] It said targets had expanded beyond e-commerce to member services, business systems and customer-support systems.[2] JPCERT/CC also described affected systems including business-intelligence tools and employee-facing management systems not intended for general-public access.[4] Macnica reported six servers associated with AI-powered attacks and targets across finance, ecommerce and logistics.[1] It also found 99 similar cases across 13 other countries and regions, but said the available information did not establish whether Japan was the only target.[5]
The figures point to a need to review exposure across APIs and business systems, not only public-facing shops. Treat the breach count and the confirmed AI-assisted activity as distinct evidence, and use least-privilege API access as a concrete review step.
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For teamsHow this developed
1 November 2026
Macnica counts 119 publicly disclosed web-system data breaches; AI’s role remains unclear
Sources
- Japan Faces Surge in AI-Powered Cyberattacks, With 81 Incidents Reported Since Julycyberpress.org
- 相次ぐWEBシステムからの情報漏洩事案について - セキュリティ研究センターブログsecurity.macnica.co.jp
- Recent AI-Assisted Cyber Attacks in Japan: Investigating Attack Infrastructure and Techniques - JPCERT/CC Eyes | JPCERT Coordination Center official Blogblogs.jpcert.or.jp
- 直近で相次いでいる国内組織における不正アクセスに関する注意喚起jpcert.or.jp
- Japan Sees Sharp Rise in Web Data Leaks Amid Mobile API Abuse and Metabase Attacksthehackernews.com