Lakera Guard

1. User submits a query to the chatbot.

2. Lakera Guard intercepts the query and analyzes it for potential prompt injection attacks.

3. If an attack is detected, Lakera Guard blocks the malicious query and logs the incident.

4. The chatbot responds with a generic error message, preventing the attacker from gaining control.

5. The security team is notified of the attempted attack and can investigate further.

1. User submits a request to the generative AI application.

2. The application generates a response.

3. Lakera Guard analyzes the response for potential data leakage.

4. If sensitive information is detected, Lakera Guard masks the data or blocks the response.

5. The application returns a sanitized response to the user.

6. The security team is alerted to the potential data leakage incident.

1. An AI agent receives an instruction from a user.

2. Lakera Guard evaluates the instruction for jailbreak attempts.

3. If a jailbreak attempt is detected, the instruction is blocked.

4. The agent executes the allowed instructions within defined safety parameters.

5. System logs are updated with the event, including details of the blocked attempt.

1. An AI application processes user data.

2. Lakera Guard monitors the data processing activities for compliance violations.

3. If a violation is detected, Lakera Guard alerts the security team and takes corrective action.

4. The application logs all data processing activities for audit purposes.

5. Reports are generated to demonstrate compliance with relevant regulations.