output-sanitizer

To redact API keys and passwords from AI agent output, apply pattern-based detection and masking rules to automatically identify and obscure credentials before the response is displayed or logged.

Output sanitization for AI generated content is the process of detecting and redacting sensitive information like PII, credentials, and internal system paths to prevent accidental data leakage in agent responses.

You can mask PII like email addresses and phone numbers in agent responses by applying data masking rules that detect specific patterns and obscure the sensitive text securely.

To generalize internal system paths and hostnames in AI logs, apply redaction rules that replace full home directory paths and internal hostnames with generalized placeholders before logging.

The best way to prevent accidental data leakage from AI responses is to sanitize the output by detecting and redacting sensitive information including credentials, PII, and internal system paths before display.