[Report Released] Your AI Tools May Already Be Leaking Data. 8 Security Incidents Identified from Real-World Cases
MONO BRAIN Inc., developer of the AI security platform 'MODEL SAFE,' has released a latest report analyzing 8 real-world security incidents involving popular AI tools, highlighting the urgent need for 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 19:44 (1h 42m after Collected)
AI security platform developer MONO BRAIN Inc. (Headquarters: Shibuya-ku, Tokyo; CEO: Maki Kato) 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 corporations.
This report comprehensively organizes AI-related accidents that have occurred in reality—ranging from the leak 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 like M365 Copilot, ChatGPT, and GitHub Copilot are dramatically improving operational efficiency, they are also creating new attack paths that were not anticipated in conventional security designs.
In the cases analyzed in this report, it became clear that 'design and operation level issues' such as:
- External integration (OAuth / API)
- Inadequate permission design
- Prompt injection
have directly led to serious accidents, rather than simple vulnerabilities.
■ 8 Security Incidents That Actually Occurred
The report explains the following incidents confirmed in existing AI tools:
1. M365 Copilot: Zero-click confidential information leak
Internal data was automatically sent out due to indirect prompt injection via email.
2. Lovable: Data exposure due to authorization failure
Chat history and source code became viewable by third parties due to API permission design errors.
3. ChatGPT Integration: Confidential data sent to external APIs
Exploiting external app integrations, information from Google Drive and GitHub was automatically extracted and sent.
4. Replit AI Agent: Deletion of production database
An AI agent went out of control and deleted more than 1,000 data records.
5. GitHub Copilot: Information theft via hidden comments
Secret information was sent externally due to invisible instructions within a PR.
6. Copilot: Repository permission leak
Tokens were leaked via instructions through an Issue, enabling repository takeover.
7. Copilot: 1-click information theft
Conversation history and file information were sent externally just by clicking a URL.
8. Vercel: Environment variable leak via OAuth
API keys and database information were leaked starting from integration with external AI tools.
■ Fundamental Risks in Common
Common to these accidents is not the performance of the AI itself, but the following structural problems:
- The 'range of access for AI' is excessive
- Design that relies too much on external inputs
- Lack of control over automatic execution (Agents)
- Lack of governance for OAuth and API integrations
In other words, the core problem is not that AI is 'vulnerable,' but that it is being used 'defenselessly with overly powerful permissions.'
■ Direction of Defense: Redesigning AI Governance
The report suggests the following measures that companies should take against these risks:
- Thorough implementation of the Principle of Least Privilege (PoLP)
- Control over external integrations (OAuth / Apps)
- Sanitization and auditing of AI inputs/outputs
- Human approval flows for agent execution
- Strengthening log monitoring and anomaly detection
'Governance design' based on the assumption of AI utilization will be a critical foundation that determines future corporate competitiveness.
■ About the AI Security Platform 'MODEL SAFE'
'MODEL SAFE' is an integrated platform that protects corporate AI systems from prompt injection, external integration risks, and agent runaway. Based on detection performance in production environments, it cross-sectionally monitors AI inputs/outputs, permissions, and external communications to detect policy violations and abnormal behavior in real-time, supporting the construction of a governance foundation for AI utilization.
[MONO BRAIN Inc. Company Profile]
Representative: CEO Maki Kato
Business: Development and operation of the AI security and governance platform 'MODEL SAFE'
Regular Member of the AI Governance Association
This report comprehensively organizes AI-related accidents that have occurred in reality—ranging from the leak 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 like M365 Copilot, ChatGPT, and GitHub Copilot are dramatically improving operational efficiency, they are also creating new attack paths that were not anticipated in conventional security designs.
In the cases analyzed in this report, it became clear that 'design and operation level issues' such as:
- External integration (OAuth / API)
- Inadequate permission design
- Prompt injection
have directly led to serious accidents, rather than simple vulnerabilities.
■ 8 Security Incidents That Actually Occurred
The report explains the following incidents confirmed in existing AI tools:
1. M365 Copilot: Zero-click confidential information leak
Internal data was automatically sent out due to indirect prompt injection via email.
2. Lovable: Data exposure due to authorization failure
Chat history and source code became viewable by third parties due to API permission design errors.
3. ChatGPT Integration: Confidential data sent to external APIs
Exploiting external app integrations, information from Google Drive and GitHub was automatically extracted and sent.
4. Replit AI Agent: Deletion of production database
An AI agent went out of control and deleted more than 1,000 data records.
5. GitHub Copilot: Information theft via hidden comments
Secret information was sent externally due to invisible instructions within a PR.
6. Copilot: Repository permission leak
Tokens were leaked via instructions through an Issue, enabling repository takeover.
7. Copilot: 1-click information theft
Conversation history and file information were sent externally just by clicking a URL.
8. Vercel: Environment variable leak via OAuth
API keys and database information were leaked starting from integration with external AI tools.
■ Fundamental Risks in Common
Common to these accidents is not the performance of the AI itself, but the following structural problems:
- The 'range of access for AI' is excessive
- Design that relies too much on external inputs
- Lack of control over automatic execution (Agents)
- Lack of governance for OAuth and API integrations
In other words, the core problem is not that AI is 'vulnerable,' but that it is being used 'defenselessly with overly powerful permissions.'
■ Direction of Defense: Redesigning AI Governance
The report suggests the following measures that companies should take against these risks:
- Thorough implementation of the Principle of Least Privilege (PoLP)
- Control over external integrations (OAuth / Apps)
- Sanitization and auditing of AI inputs/outputs
- Human approval flows for agent execution
- Strengthening log monitoring and anomaly detection
'Governance design' based on the assumption of AI utilization will be a critical foundation that determines future corporate competitiveness.
■ About the AI Security Platform 'MODEL SAFE'
'MODEL SAFE' is an integrated platform that protects corporate AI systems from prompt injection, external integration risks, and agent runaway. Based on detection performance in production environments, it cross-sectionally monitors AI inputs/outputs, permissions, and external communications to detect policy violations and abnormal behavior in real-time, supporting the construction of a governance foundation for AI utilization.
[MONO BRAIN Inc. Company Profile]
Representative: CEO Maki Kato
Business: Development and operation of the AI security and governance platform 'MODEL SAFE'
Regular Member of the AI Governance Association