Guardrails

Input Guardrails

Input guardrails validate and control user inputs before they are processed by the system. This helps prevent misuse and ensures that only appropriate and secure requests are handled.

Sensitive Data Protection

The system detects and restricts the use of sensitive information such as personal or confidential data within user inputs.

Prompt Misuse Prevention

Guardrails prevent attempts to override system behavior or extract restricted internal information.

Topic Restriction

The NLP Interface is designed to support AION-related and data science use cases. Requests outside this scope are identified and handled appropriately.

Input Size Control

Extremely large inputs are regulated to maintain system performance and avoid processing delays.

Authentication Validation

User sessions are verified before processing requests to ensure secure and authorized access.

🔹 Output Guardrails

Output guardrails ensure that responses generated by the system are accurate, safe, and compliant with platform guidelines.

Content Safety Checks

Responses are monitored to prevent inappropriate or unsafe content.

Accuracy and Reliability

The system ensures that responses are based only on available and verified information, reducing the risk of incorrect or misleading outputs.

Response Format Control

Outputs follow predefined formats to maintain consistency and prevent exposure of internal system details.

Internal Information Protection

Guardrails prevent exposure of internal tools, system logic, or backend implementation details in responses.