Use Cases

Prevent customer data leaks

If you're building SaaS products with embedded AI copilots, redact analyzes requests and responses in real time, removing PII, credit cards, and health records before they leave your environment—proving zero data exposures via AI Trust Center.

Problem

Agents access CRMs, billing systems, and internal wikis containing PII, credit cards, and health records. One poorly scoped prompt leaks customer data through logs, responses, or third-party integrations—triggering GDPR fines, SOC 2 failures, and brand damage.

Traditional DLP tools cannot operate at the speed of AI inference or understand context-sensitive data exposure. Without runtime redaction, every agent response is a potential compliance violation that security and legal teams cannot audit or prevent.

How Superagent solves it

Superagent redact analyzes every request and response in real time, identifying and removing PII, credit cards, SSNs, and health records before data leaves your environment. Redact reasons about context to avoid false positives while ensuring compliance. Available via API, SDKs, CLI, and web playground.

  • Detects and removes PII, credit cards, SSNs, and health records from agent responses before delivery.
  • Works inline with your agents, adding negligible latency while ensuring GDPR, CCPA, and SOC 2 compliance.
  • Provides context-aware redaction that distinguishes sensitive data from legitimate use cases.
  • Documents all redactions via AI Trust Center, proving zero PII exposures with mappings to EU AI Act, ISO/IEC 42001, and NIST AI RMF.

Benefits

Meet GDPR, CCPA, and SOC 2 requirements with automated PII removal and audit trails.

Prove zero PII exposures via AI Trust Center with documented redactions and compliance mappings.

Protect brand reputation by preventing customer data leaks before they reach production.

Ship AI features confidently knowing sensitive data is automatically protected at runtime.

Ready to prevent customer data leaks?

Deploy redact to automatically remove sensitive data from agent responses and prove compliance to auditors.