[Second Edition Released] Your AI tools are already leaking info. An AI governance redesign report based on 8 real-world incidents.

MONO BRAIN, the developer of the AI security platform 'MODEL SAFE,' has released the second edition of its report, '8 AI Tool Security Incidents,' which analyzes real-world incidents involving AI tools in enterprises.

This report has been significantly updated based on feedback from webinars and discussions with corporate representatives following the first edition's release.

▼ Download the report (Free) https://modelsafe.jp/download/ai_incident_202604

Categorizing 8 Security Incidents into 5 Common Patterns

In the second edition, real-world incidents involving tools such as M365 Copilot, ChatGPT integration, GitHub Copilot, Replit AI Agent, and Vercel OAuth have been reorganized not just as case studies, but as 'incident patterns' that could happen to any company.

This update classifies the 8 accidents into the following 5 common patterns:

1. AI reading too much internal data 2. Broken authorization design in AI-generated/AI-powered apps 3. AI agents executing destructive operations 4. Development AI treating external inputs as commands 5. External AI tools becoming entry points through OAuth/API integration

The Essence of AI Incidents: 'Design and Operational Risks'

The core of AI incidents lies not in the performance of the AI itself, but in design and operational risks that occur when 'external inputs,' 'strong privileges,' and 'automated execution' overlap.

When external inputs such as emails, web pages, pull requests, issues, and documents are read by AI and linked with strong privileges—such as internal data, APIs, OAuth, and databases—information leaks or destructive operations can occur even if the user is not acting maliciously.

Practical Countermeasures for Enterprises

In addition to the structure of each incident, this report explains practical countermeasures that enterprises should check immediately.

Key measures include enforcing minimum privileges, correcting oversharing, conducting an inventory of OAuth/API integrations, implementing human approval for AI agent execution, and strengthening audit logs and anomaly detection.

Through its AI security platform 'MODEL SAFE,' MONO BRAIN is committed to supporting enterprises in building safe AI utilization and governance frameworks.