Govern Agents.
Secure Compute.
Proven at Global Scale
Our customers choose Protegrity to give every team safe access to high-precision data, trusted model outputs, and streamlined compliance.
Embedded and
Semantic Controls
for High Precision Data
Protegrity AI Team Edition enables trustworthy agentic
workflows – agnostic to frameworks, vendors, and hyperscalers–with centralized policy and distributed, inline enforcement.
Data Discovery & Classification
Identify, tag, and classify sensitive data – including PII, PCI, PHI, & IP – in structured and unstructured formats in the flow of data before it’s used in models or analysis.
Centralized Policy, Distributed Enforcement
Define once, secure everywhere with protection that adapts based on data purpose and context –tokens for referential integrity, masked data for least-privilege consumption.
Semantic Runtime
Guardrails judge accuracy and evaluate interactions between users, data, and AI based on risk thresholds – blocking unsafe content and preventing information leakage.
Semantic Anonymization
Transform datasets and generalize identifiers to anonymize sensitive information for privacy-enforced analytics and AI workflows.
Privacy-Enabled Synthetic Data
Generate realistic datasets by modeling production data to create non-sensitive datasets that mirror statistical properties for use in model training and test data.
Features are deployable via container and API, supporting seamless integration into notebooks, AI pipelines, and agentic workflows.
