MIT AI Risk Repository · Risk Sub-Category · 50.01.02
Security risks (integrity)
Category: System and Operational Risks
Description
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From AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies (Zeng2024), as extracted by the MIT AI Risk Repository (CC BY 4.0).
Classification
- Domain
- 2. Privacy & Security
- Causal entity
- Other
- Intent
- Intentional
- Timing
- Other
Subdomain definition: Vulnerabilities in AI systems, software development toolchains, and hardware that can be exploited, resulting in unauthorized access, data and privacy breaches, or system manipulation causing unsafe outputs or behavior.
Real-world incidents in this subdomain
- COEMPT Quality Assurance Engineers Allegedly Violated Indian CBSE Student Data Privacy Rights by Processing It with Google Gemini
- Hidden Prompt Injection in Brazilian Labor-Court Petition Reportedly Tried to Manipulate Galileu
- Meta Internal AI Agent Reportedly Gave Advice That Allegedly Exposed Sensitive Data to Unauthorized Employees
- CodeWall's Autonomous Agent Reportedly Obtained Unauthorized Access to McKinsey's Lilli AI Platform Database
- Anthropic Said DeepSeek, Moonshot, and MiniMax Used Fraudulent Accounts and Proxies to Illicitly Distill Claude Capabilities at Scale
- DJI Romo Cloud Authorization Bug Reportedly Exposed Camera, Microphone, and Home-Mapping Data From Nearly 7,000 Robot Vacuums
How other frameworks describe this risk
Other entries from Zeng2024
- -
- Security risks (confidentiality)
- Security risks (confidentiality)
- Security risks (integrity)
- Security risks (availability)
- Security risks (availability)
- Operational misuses (Automated decision-making)
- Operational misuses (Automated decision-making)
- Operational misuses (Autonomous unsafe operation of systems)
- Operational misuses (Autonomous unsafe operation of systems)
- Operational misuses (Advice in heavily regulated industries)
- Operational misuses (Advice in heavily regulated industries)