[Report Release] Your AI Tool Is Already Leaking Information. 8 Security Incidents Revealed by Real-World Cases
MONO BRAIN Co., Ltd. has released a report detailing 8 security incidents involving corporate AI tools. It highlights the dangers of information leaks and data deletion due to excessive permissions and lack of governance in AI tools like M365 Copilot and ChatGPT, advocating for the redesign of AI governance.
📋 Article Processing Timeline
- 📰 Published: April 29, 2026 at 02:30
- 🔍 Collected: April 28, 2026 at 18:02
- 🤖 AI Analyzed: April 28, 2026 at 18:40 (37 min after Collected)
MONO BRAIN Co., Ltd. (Headquarters: Shibuya-ku, Tokyo; Representative Director: Masanori Kato), which develops the AI security platform "MODEL SAFE", has released its latest report, "8 Security Incidents in AI Tool Utilization (April 2026 Edition)", which analyzes actual incidents that occurred in AI tools used by companies.
This report comprehensively organizes real-world AI-related accidents, ranging from the leakage of confidential information to the deletion of production databases, and presents structural risks and specific countermeasures.
▼ Download the verification report (free)
https://modelsafe.jp/download/ai_incident_202604
■ Background: The spread of AI tools is creating "new attack surfaces"
While AI tools such as M365 Copilot, ChatGPT, and GitHub Copilot dramatically improve operational efficiency, they also create new attack vectors not anticipated by conventional security designs.
The cases analyzed in this report revealed that not mere vulnerabilities, but "design and operational level problems" such as:
External integration (OAuth / API)
Flaws in authorization design
Prompt injection
directly led to serious incidents.
■ 8 actual security incidents
This report explains the following incidents confirmed in existing AI tools:
① M365 Copilot: Zero-click confidential information leakage
Internal data automatically sent via indirect prompt injection through email.
② Lovable: Data exposure due to authorization flaws
Chat history and source code viewable by third parties due to API authorization design errors.
③ ChatGPT integration: Sensitive information transmitted to external APIs
Google Drive and GitHub information automatically extracted and sent by exploiting external app integration.
④ Replit AI Agent: Production DB deletion
AI agent became uncontrollable, deleting over 1,000 pieces of data.
⑤ GitHub Copilot: Information theft via hidden comments
Secret information sent externally through invisible instructions in PRs.
⑥ Copilot: Repository privilege leakage
Tokens leaked via instructions in Issues, enabling repository hijacking.
⑦ Copilot: One-click information theft
Conversation history and file information sent externally merely by clicking a URL.
⑧ Vercel: Environment variable leakage via OAuth
API keys and DB information leaked starting from integration with external AI tools.
■ Common fundamental risks
What these incidents have in common is not the performance of AI itself, but the following structural problems:
Excessive "scope of access for AI"
Design that overly trusts external input
Insufficient control over autonomous execution (Agent)
Lack of governance for OAuth and API integration
In other words, the fundamental problem is not that AI is "vulnerable," but that it is being "used defenselessly with too much authority."
■ Direction of defense: Redesigning AI governance
This report proposes the following countermeasures for companies against these risks:
Thorough implementation of the Principle of Least Privilege (PoLP)
Control of external integrations (OAuth / Apps)
Sanitization and auditing of AI input/output
Human approval flow for agent execution
Strengthening log monitoring and anomaly detection
"Governance design" based on the premise of AI utilization is the critical foundation that will determine corporate competitiveness in the future.
■ About AI Security Platform "MODEL SAFE"
"MODEL SAFE" is an integrated platform that protects corporate AI systems from prompt injection, external integration risks, agent runaway, and other threats.
Based on detection results in production environments, it cross-sectionally monitors AI input/output, permissions, and external communication, detecting policy violations and anomalous behavior in real-time. It supports the establishment of a governance foundation for AI utilization.
[MONO BRAIN Co., Ltd. Company Overview]
Representative: Masanori Kato, Representative Director
Business description: Development and operation of AI Security and Governance Platform "MODEL SAFE"
Regular member of AI Governance Association
▼ Inquiries
https://modelsafe.jp/contact
▼ MODEL SAFE Service Introduction
https://modelsafe.jp/
This report comprehensively organizes real-world AI-related accidents, ranging from the leakage of confidential information to the deletion of production databases, and presents structural risks and specific countermeasures.
▼ Download the verification report (free)
https://modelsafe.jp/download/ai_incident_202604
■ Background: The spread of AI tools is creating "new attack surfaces"
While AI tools such as M365 Copilot, ChatGPT, and GitHub Copilot dramatically improve operational efficiency, they also create new attack vectors not anticipated by conventional security designs.
The cases analyzed in this report revealed that not mere vulnerabilities, but "design and operational level problems" such as:
External integration (OAuth / API)
Flaws in authorization design
Prompt injection
directly led to serious incidents.
■ 8 actual security incidents
This report explains the following incidents confirmed in existing AI tools:
① M365 Copilot: Zero-click confidential information leakage
Internal data automatically sent via indirect prompt injection through email.
② Lovable: Data exposure due to authorization flaws
Chat history and source code viewable by third parties due to API authorization design errors.
③ ChatGPT integration: Sensitive information transmitted to external APIs
Google Drive and GitHub information automatically extracted and sent by exploiting external app integration.
④ Replit AI Agent: Production DB deletion
AI agent became uncontrollable, deleting over 1,000 pieces of data.
⑤ GitHub Copilot: Information theft via hidden comments
Secret information sent externally through invisible instructions in PRs.
⑥ Copilot: Repository privilege leakage
Tokens leaked via instructions in Issues, enabling repository hijacking.
⑦ Copilot: One-click information theft
Conversation history and file information sent externally merely by clicking a URL.
⑧ Vercel: Environment variable leakage via OAuth
API keys and DB information leaked starting from integration with external AI tools.
■ Common fundamental risks
What these incidents have in common is not the performance of AI itself, but the following structural problems:
Excessive "scope of access for AI"
Design that overly trusts external input
Insufficient control over autonomous execution (Agent)
Lack of governance for OAuth and API integration
In other words, the fundamental problem is not that AI is "vulnerable," but that it is being "used defenselessly with too much authority."
■ Direction of defense: Redesigning AI governance
This report proposes the following countermeasures for companies against these risks:
Thorough implementation of the Principle of Least Privilege (PoLP)
Control of external integrations (OAuth / Apps)
Sanitization and auditing of AI input/output
Human approval flow for agent execution
Strengthening log monitoring and anomaly detection
"Governance design" based on the premise of AI utilization is the critical foundation that will determine corporate competitiveness in the future.
■ About AI Security Platform "MODEL SAFE"
"MODEL SAFE" is an integrated platform that protects corporate AI systems from prompt injection, external integration risks, agent runaway, and other threats.
Based on detection results in production environments, it cross-sectionally monitors AI input/output, permissions, and external communication, detecting policy violations and anomalous behavior in real-time. It supports the establishment of a governance foundation for AI utilization.
[MONO BRAIN Co., Ltd. Company Overview]
Representative: Masanori Kato, Representative Director
Business description: Development and operation of AI Security and Governance Platform "MODEL SAFE"
Regular member of AI Governance Association
▼ Inquiries
https://modelsafe.jp/contact
▼ MODEL SAFE Service Introduction
https://modelsafe.jp/