Protecto is the only data privacy tool that offers smart tokenization to retain context, scan PII with full accuracy, and facilitate role based access control in AI systems.
While Protegrity’s capability in identifying and masking sensitive data is satisfactory, it is not built for modern enterprise grade AI systems.
Features | Protecto | Protegrity |
API-first tokenization | REST APIs, flexible and easy to integrate | API tightly bound to Azure Functions |
Format-preserving tokenization | Tokens retain context & format for AI/analytics | Retains format but lacks context for AI |
Deterministic tokenization | Consistent tokens for same input | Deterministic supported, but context issues remain |
Custom tokenization policies | Highly flexible (define token type, patterns) | Vaultless tokenization with less flexibility |
Cloud-agnostic deployment | Containerized, works across any cloud or on-prem | Primarily optimized for Azure, less depth elsewhere |
Unstructured data detection | Detects structured & unstructured data with context | Mainly structured data, weak on unstructured/context |
Easy deployment & automation | Lightweight, quick to deploy, automation-friendly | Mainly structured data, weak on unstructured/context |
Strong governance & RBAC | API-driven RBAC & policy enforcement | Strong enterprise RBAC, but complex to manage |
Detailed audit logging | Logs every tokenization/detokenization call | Audit logging exists but requires extra setup |
Scalability & performance | Cloud-native, scales with distributed processing | Highly scalable for enterprise & legacy workloads |
Deploy Protecto on your servers or consume it as SaaS. Either way, get the full benefits including multitenancy.
Use sync and async APIs to integrate with any part: preprocessing, context data, prompt, or response.
Protecto's architecture scales to process billions of rows or runs lightweight on-edge devices, offering versatility and efficiency.