See Protegrity in Action

Put protected data to work

See how Protegrity protects sensitive data across AI, analytics, cloud, and hybrid environments while keeping it usable for approved workflows and governed access.

End-to-End Coverage

Protect structured and unstructured data—at rest, in motion, and in use—across analytics tools, data lakes/warehouses, and operational apps.

Modern Protection Methods

Apply vaultless tokenization, encryption, and masking with format-preserving options that keep data useful for BI, ML, and reporting.

Policy & Governance

Define policies once and enforce everywhere with role/attribute-based access, centralized auditing, and region-aware controls.

Works With Your Stack

Integrates with platforms your teams already run—Databricks, Snowflake, AWS, Azure, GCP, and major databases—without disruptive rewrites.

AI & GenAI Guardrails

Find and redact sensitive data in prompts, training sets, and outputs to reduce leakage risk while keeping AI initiatives moving.

Performance At Scale

High-throughput protection designed for real workloads—batch or streaming—so security doesn’t become the bottleneck.

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Trusted by organizations that put protected data to work.

  • Albertsons
  • Truist
  • Blu Label
  • DBS Bank
  • Planet
  • Accelya