Protect data.
Verify agents.
Govern inference.

Defined once, enforced at every layer — so AI teams ship faster, with security in control alongside them.
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The AI Trust Gap

Control exposure

before it happens.

Explore how AI agents can combine permitted answers into sensitive business knowledge, and how Protegrity helps control exposure before it happens.

Your information

Facts at rest

Databases

SQL · NoSQL · Vector

Documents

PDF · Office · Wiki

APIs

REST · GraphQL

Enterprise apps

CRM · ERP · HR

Data lakes

S3 · Databricks

Inference layer

AI in motion

Principals

Users · apps · pipelines

AI agents

Query · traverse · combine infer · act · repeat

Tools · MCP

Actions · services

Knowledge

Understanding patterns

Trade secrets

Supplier patterns

Customer intel

Pricing logic

M&A intent

Salary ranges

Aggregate totals

Transition
point

Databases

SQL · NoSQL · Vector

Documents

PDF · Office · Wiki

APIs

REST · GraphQL

Enterprise apps

CRM · ERP · HR

Data lakes

S3 · Databricks

Principals

Users · apps · pipelines

AI agents

Query · traverse · combine infer · act · repeat

Tools · MCP

Actions · services

Trade secrets

Supplier patterns

Customer intel

Pricing logic

M&A intent

Salary ranges

Aggregate totals

Use everything. Expose nothing.

Caught at the gateway by policy that runs the same way every time, not a filter to talk around.

AI safety controls

One platform to control, enforce, and verify AI.

1

Find and protect

SDKs for finding and protecting sensitive data in prompts, logs, and unstructured text.

Learn more
2

Semantic guardrails

Govern how agents retrieve data, reason over enterprise knowledge, and generate responses.

Learn more
3

Anonymization AI

Irreversibly de-identify sensitive data while preserving value for analytics and model development.

Learn more
4

Synthetic data

Generate realistic, privacy-safe data for testing, training, and simulation.

Learn more
Secure AI Data Flows

Protect data so AI can use it.

AI needs enterprise knowledge to deliver value, but sensitive data cannot flow freely into models, agents, and pipelines. Data must be protected for AI reasoning. Protegrity applies protection at the data layer before AI interacts with it, so teams can use more context safely without exposing regulated or confidential information.

Protegrity AI Editions

One platform. Three editions.

Start for free. Upgrade as you grow. Have Enterprise needs? Let’s talk.

Developer

Get started right away for free.


SDKs for discovering and protecting sensitive data in prompts, logs, and unstructured text.

Book a demo

Enterprise

Modular capabilities for AI


Protection for AI, analytics, and hybrid workloads — agnostic to frameworks, systems, and hyperscalers.

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Make your existing stack safe for AI

Built into the platform
your AI already uses.

Explore all integrations

Make your existing stack safe for AI

Built into the platform
your AI already uses.

Explore all integrations

Customer Success

Protegrity’s Impact. Measurable by a Customer.

See how a top-five global bank used Protegrity to strengthen data protection while enabling cross-border data sharing, enterprise analytics, and new business opportunities.

  • $50M+

    savings in infrastructure and data processor expenses.

  • $18M

    net-new revenue over five years.

  • $1.2B

    in sales by off-boarding commercial cards.

  • 130

    countries maintaining data sovereignty.

Customer Stories

Protection built for any industry.

“Protecting our customer’s PII data is essential. Protegrity tokenization accelerates our secure transformation while enabling advanced analytics with protected data.”

Steve EtchelecuSolution Architect, Albertsons
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