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Is the deployed AI system protected from unauthorized access and misuse?
Is the deployed AI system protected from unauthorized access and misuse?
Unauthorized access to AI systems can result in data breaches, model theft, and exploitation of sensitive functionalities. Without proper access control, attackers can extract model parameters, manipulate system behavior, or leak confidential data.
- Credential & API Key Exposure: Weak authentication mechanisms can lead to unauthorized access, allowing attackers to exploit API endpoints or modify AI responses.
- Model Extraction Attacks: Attackers can systematically query an AI system to recreate and steal proprietary models, leading to intellectual property theft.
- Privilege Escalation Risks: Poorly managed user roles and permissions may allow attackers to escalate access, gaining control over critical AI operations.
If you answered No then you are at risk
If you are not sure, then you might be at risk too
Recommendations
- Enforce multi-factor authentication (MFA) and strong password policies for AI system access.
- Restrict API access using role-based access control (RBAC) and least privilege principles.
- Monitor AI usage logs for anomalous access patterns and potential security breaches.
- Apply rate limiting and query monitoring to detect and mitigate model extraction attacks.
- Use secure enclaves and differential privacy to protect sensitive AI models and training data.