◎ Platform · Data Access

Fine-grained access control. For every principal, every platform.

Humans, applications, and AI agents all access your data. Snowflake, Databricks, BigQuery, S3 — your estate spans dozens of platforms. Trust3 AI gives you one place to write access policy and enforce it natively everywhere — without proxies, without rewrites, without gaps.

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THE CHALLENGE

Sensitive data is everywhere. Control isn't.

Managing data access across a modern enterprise means dealing with multiple clouds, dozens of platforms, and an ever-growing set of principals — employees, contractors, applications, and now AI agents. Most organizations end up with access policies written per platform, per account, per team. The result is inconsistency, over-permissioning, and compliance gaps that only show up during audits.

Trust3 AI replaces fragmented, platform-native controls with a single governance layer. Write a policy once. Enforce it everywhere. For every principal that touches your data.

THE PLATFORM · FOUR CAPABILITIES

One platform. Four capabilities.

01
Sensitive Data Discovery

Know what you're protecting before you protect it.

Access control is only as good as your understanding of what's sensitive. Trust3 AI automatically scans and classifies sensitive data across your connected data sources — tagging PII, PHI, PCI, and financial data at the column level. Those tags become the foundation every access policy and masking rule builds on.

  • Automatic detection and classification using built-in algorithms
  • Tags applied at the column level: [PII] [PHI] [PCI] [FINANCIAL]
  • Continuous scanning — new tables and columns classified as they land
  • Tags flow directly into access policies and masking rules — no manual mapping step
  • Covers 50+ data sources across cloud, hybrid, and on-premises environments
02
Centralized Data Access Control

One policy. Enforced natively across your entire data estate.

This is the core of the platform. Trust3 AI unifies access control across every connected data source — Snowflake, Databricks, BigQuery, S3, and 50+ more — under a single policy framework. A rule written once applies everywhere. No per-platform rewrites. No gaps between systems.

Three control models, used together
  • ABAC — attribute-based access using user and agent attributes from your existing IAM. No need to create extensive role hierarchies — user attributes from Active Directory, Okta, or your IdP are applied automatically.
  • TBAC — tag-based policies that act on classified data. When a new column is tagged [PII], existing policies apply immediately.
  • RBAC — resource-based controls for data stewards and owners to manage access within their domain, while remaining within global guardrails.
Platform coverage
  • Native enforcement inside Snowflake, Databricks, BigQuery, EMR, Trino, Spark, Redshift, Athena, and more
  • No proxy hop — enforcement runs natively inside each platform at query time
  • Row-level filtering, column-level masking, and table-level access all controlled from one place
  • Policies apply to human users, service accounts, and AI agents — all as governed principals
Enterprise integrations
  • IAM: Okta, Active Directory, Azure AD
  • Catalogs: Collibra, Microsoft Purview
  • Security analytics: Splunk, your existing SIEM
Federated data stewardship

Data owners and stewards set local rules for their domains. Global policies are maintained centrally. Both coexist without conflict.

03
Data Encryption and Masking

What users see is as important as what they can reach.

Access control determines who can query a table. Encryption and masking determine what they see when they do. Trust3 AI applies protection at the column level — dynamically, based on classification and the requester's authorization level. Authorized users see real data. Everyone else sees masked values. Same query, same table.

  • Dynamic masking — authorized principals see real data, others see masked values, without separate queries or data copies
  • Format-preserving encryption — data stays usable for analytics without exposing raw values
  • Column-level granularity — encrypt or mask specific columns, not entire tables
  • Masking policies inherit directly from discovery tags — classify once, protect automatically
  • Works natively inside each platform — no data movement, no external proxy
  • Full integration with data discovery and access control — one lifecycle from classification to protection
04
Audit and Reporting

Prove what was accessed. By whom. When.

Governance requires evidence. Trust3 AI logs every data access event across every connected platform — with full context on the principal, the policy evaluated, and the data returned. Compliance teams get the audit trail they need. Security teams get the visibility. Both without building it themselves.

  • Comprehensive audit log covering every query, every platform, every principal
  • Who accessed what sensitive data, when, and under which access policy
  • Sensitive data proliferation view — see where classified data exists across your estate
  • Pre-built compliance reports for GDPR, HIPAA, CCPA, and EU AI Act
  • Integrates with Splunk and your existing security analytics stack
  • Dashboard reporting for data security governance program health
◎ Governance Intelligence Agent · Policy Authoring

Write access policy in plain English.

Translating a compliance requirement into a correctly structured access policy takes time, technical knowledge, and back-and-forth between compliance and engineering teams. GIA eliminates that process.

A compliance officer writes a single sentence. GIA compiles it into a fully structured, enforceable access policy — with scope, conditions, and impact analysis included. A human reviews and confirms. The policy is live.

  • "Marketing teams must not have access to PII-tagged tables in the customer schema."

GIA converts this into a TBAC policy with the correct scope, affected assets, and enforcement conditions — ready to deploy across every connected platform.

  • Natural language input — no query language, no policy syntax to learn
  • GIA proposes the structured policy — compliance officer reviews and confirms
  • Impact analysis shown before confirmation — which principals and assets are affected
  • Policy enforced immediately across all connected platforms on confirmation
  • Full audit record of who authored the policy, when, and what it covers

Compliance writes the intent. Trust3 AI enforces it. No developer in the loop.

◎ Open Standards Foundation

Built on Apache Ranger. Trusted at enterprise scale.

Trust3 AI's data access control is built on Apache Ranger — the open-standards access control framework running inside Hadoop, Databricks, and the majority of enterprise data platforms globally. Privacera's engineers have been core contributors to Apache Ranger and Apache Atlas since the beginning.

That foundation means:

  • No vendor lock-in — policies built on open standards, not proprietary formats
  • Battle-tested at scale — the same access control architecture running in thousands of regulated enterprises today
  • Native enforcement — Ranger's enforcement model runs inside each platform, not in front of it
  • Broad platform coverage — 50+ native connectors, more than any other vendor

This is not a marketing claim. It is the engineering reason native enforcement across 50+ platforms is possible without proxies or latency penalties.

Sensitive data under control. Across every platform, every principal.

One platform to discover sensitive data, write access policy, enforce masking, and prove compliance. For every human, application, and AI agent that touches your data estate.

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