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Activate Data.
Secure Knowledge.
Trust AI.
Protegrity protects sensitive data in real time so teams can
innovate safely and stay compliant.
Productive Data Demands the right protection
Models are moving faster than the controls around them. Sensitive data gets blocked, over-redacted, or routed into shadow AI.
Protegrity makes enterprise knowledge safe to use by enforcing protection where AI actually uses data — across retrieval, reasoning, and output.
Users — Apps — Models
- Compliance
- Quantum
- Sovereign Data
- Secure Agents
- Secure Inferencing
-
Control
Plane- Discovery & Classification
- Centralized, Agentic Policy
- Real-Time Audit & Observability
-
Execution
Plane- API & Endpoints
- Semantic Tokens & Guardrails
- Pseudonymization & Anonymization
-
Advanced
Cryptography- Vault & Vaultless
- Queryable Encryption
- Iceberg Encrypted Data Type
Data — Systems — Code
- Distributed Enforcement
- On-Prem, Cloud, SaaS
- Agent, Proxy, SDK
One Platform to Control, Enforce and Verify AI
Protegrity combines discovery, protection, governance, privacy, and analytics controls in one platform. Each capability solves a specific AI data risk, while working together through unified policy and consistent enforcement.
Detect and secure sensitive data in prompts, outputs, documents, RAG workflows, and training pipelines.
Govern how agents retrieve data, reason over enterprise knowledge, and generate responses.
Irreversibly de-identify sensitive data while preserving value for analytics and model development.
Generate realistic, privacy-safe data for testing, training, and simulation.
Drive Growth
Reduce Risk
ACHIEVE COMPLIANCE
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