Use Cases
Real-world patterns for protecting sensitive data across applications, AI pipelines, logs, analytics, and CRM systems using Protecto.
Common integration patterns
Protecto fits naturally into the data flows where sensitive information is most at risk. The use cases below cover the most common patterns engineering teams encounter.
Protect PII in GenAI / LLM Prompts
Mask sensitive data before sending prompts to an LLM. No raw PII leaves your system.
Redact Sensitive Data in Logs
Mask log lines before writing them so sensitive data is never stored in plain text.
Mask PII in Analytics & BI Pipelines
Tokenize known fields at ingestion time so dashboards and warehouses never hold raw PII.
AI Agent for CRM Support
Mask CRM records before your AI agent processes them, then unmask only in authorized workflows.
Detect Custom PII (Internal IDs)
Teach Protecto to recognize your own internal identifiers as first-class PII types.
Choosing the right masking approach
| Scenario | Recommended approach |
|---|---|
| Free-form text, LLM prompts, logs | Auto-Detect and Mask |
| Known structured fields (CRM, DB records) | Mask with Token |
| Fields that must preserve format/length | Mask with Format |
| Internal identifiers (Customer IDs, Account IDs) | Custom PII detection |
| Governance-controlled workflows | Policy-based masking |
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