Use Cases
Stop data leaks in support copilots
If you're building SaaS products with embedded AI copilots, redact strips PII, credit cards, and SSNs from conversation logs and training data automatically—ensuring GDPR-compliant logging and safe AI training workflows.
Problem
Support AI accesses customer tickets, account information, payment details, and order history. Every conversation is logged—including PII, credit cards, and SSNs that should never persist in storage or training datasets.
Teams use logs for debugging and training data for improving models, but this creates GDPR violations and data breach risks. Traditional redaction runs too late—sensitive data is already logged before security teams can intervene.
How Superagent solves it
Superagent redact processes all support conversations inline, removing PII, credit cards, and SSNs before logs are written or training data is collected. Redact ensures compliance without blocking legitimate support workflows. Available via API, SDKs, CLI, and web playground.
- Strips PII, credit cards, SSNs from conversation logs automatically before data persists to storage.
- Cleans training datasets in real time, ensuring fine-tuning workflows never ingest sensitive customer data.
- Maintains conversation utility while removing sensitive details, preserving support quality.
- Documents all redactions via AI Trust Center, proving GDPR-compliant logging with mappings to EU AI Act, ISO/IEC 42001, and NIST AI RMF.
Benefits
GDPR-compliant logging by default—sensitive data never reaches storage or logs.
Safe training data ensures fine-tuning workflows improve models without leaking PII.
Customer trust increases when support teams prove data never leaves conversations.
Regulatory compliance with automated evidence and audit trails via AI Trust Center.
Related Use Cases
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Redact Sensitive Data from Legal Documents
Protect privileged communications and trade secrets in legal AI workflows
Ready to stop data leaks in support copilots?
Deploy redact to automatically clean logs and training data before sensitive information persists.