Find and mask sensitive data with confidence

Studio 3T finds sensitive fields across your MongoDB collections, masks PII at the pipeline layer, and gives you a compliance-friendly, timestamped audit trail.

Talk to us

AI doesn’t know sensitive fields, your platform should

AI tools can access anything your MongoDB connection allows, without knowing which fields contain personal data or what compliance rules apply. Studio 3T fixes that. Our PII Scanner finds sensitive fields before they’re accessed, 3TL Bridge masks data before it moves, and 3T Lens makes sure people and AI only see the data they’re allowed to see.

Automated PII classification

Give teams the access they need automatically, without sharing credentials or creating risky backdoor access.

Masking at the pipeline layer

Keep sensitive data protected as it moves to analytics, AI, and machine learning tools.

AI-ready governance

Protect sensitive data with consistent access controls across teams and AI.

Built-in data masking you can trust

One-off scripts are hard to manage, test, and audit. 3TL Bridge gives you one place to manage masking rules, apply them consistently, and reduce compliance risk as data moves across your organisation. PII Scanner helps catch new sensitive fields before they become a problem.

Test and manage masking in one place

Create, reuse, and test masking rules as part of your data pipeline, without relying on scattered scripts or switching tools.

Track sensitive data over time

Every PII scan is saved with a record of when it ran, where it ran, and what it found, so schema changes don’t introduce new risks.

Catch policy issues before release

27 governance policies integrate into CI/CD via REST API, so issues are caught before release, not after.

Keep PII protected from the start

Studio 3T helps you protect PII automatically, without manual processes. Identify sensitive fields early, mask them before they move downstream, and control access across every connection from one place.

Automatically classify sensitive data

Every field is scanned and grouped by sensitivity level, helping teams quickly identify what needs protecting. Scan history is saved so you can track changes over time.

Compliance monitoring and alerts

Track governance issues in one place and get notified by Slack, email, and webhook

Platform-wide audit logs

Keep a record of data access, masking activity, and policy checks across the platform, with exportable logs for audits and security monitoring.

Unmasked personal data is a compliance risk, not just a technical issue

Studio 3T helps you find sensitive data early, mask it before it moves through your pipelines, and ensure only safe data reaches analytics, AI, and third-party systems. Compliance reports are available on demand, ready for audits.

Find PII before it becomes a problem

Scan your data to identify personal and sensitive fields, with a clear history of what was found and when, so you can show you’ve done the right checks.

Keep sensitive data out of downstream systems

Analysts, AI tools, and third-party systems only receive data with sensitive fields already removed or masked by default.

Get compliance reports when you need them

Generate simple, audit-ready compliance reports in one click, without needing extra tools or manual work.

See how it works for you

Mask your data everywhere

Other tools close one gap, Studio 3T closes all three. Find PII, mask it before it moves, govern who sees it.

Airbyte

Can mask data in transit, but has no PII scanner to find sensitive fields first, no workspace-layer masking, and no compliance scoring. Masking is a pipeline configuration option — not an end-to-end governance architecture.

Studio 3T

Studio 3T finds PII before it moves, masks it at the transformation layer, enforces field-level masking in the analyst workspace, and produces a structured audit trail across every layer. One platform, no gaps.

Airflow / Databricks

Broadly capable for data movement but not MongoDB-native. No built-in PII classification, no workspace-layer masking, no compliance policy engine. PII handling is delegated to external tools or manual processes.

Studio 3T

Studio 3T is MongoDB-native at every layer — Change Stream-based pipeline masking, document-aware field classification, and a governed browser workspace built for MongoDB’s document structure.

MongoDB Compass / Atlas

Compass exposes raw data to anyone with a connection string — no PII scanning, no masking, no field-level access control. Atlas offers some access controls for Atlas-hosted clusters but no pipeline-layer masking and no PII classification.

Studio 3T

Studio 3T applies masking and PII governance across Atlas, on-premises, and hybrid environments — the same policies, consistently enforced, regardless of where the data lives.

Custom scripts

Bespoke masking scripts have no PII discovery step, no test coverage, no version control, and no audit trail. Schema changes introduce new PII fields that go undetected until an audit finds them.

Studio 3T

The PII Scanner catches new sensitive fields after schema changes. Transform Studio replaces ad hoc scripts with versioned, tested masking logic — auditable, consistently applied, owned by the platform.

Works with your existing setup

Studio 3T fits into your current MongoDB environment and helps control access for both people and AI. It finds sensitive data before it’s accessed, masks it as data moves through your pipeline, and applies consistent rules across every user and tool.

Browser-based access control

3T Lens lets users work with data in the browser while enforcing masking and access rules automatically. There’s nothing to install, and sensitive data is protected in query results by default.

Built into your data pipeline

3TL Bridge runs as part of your existing infrastructure and applies masking as data moves through your system. There’s no separate masking layer and no risk of exposing data after it’s been processed.

Secure authentication and access

Runtime-configured OIDC authentication and AES-256 credential encryption mean no hardcoded credentials and no unmanaged access pathways into your data.

Works with your deployment process

You can include data protection checks into any CI/CD pipeline via REST API, so masking and policy rules are validated before changes go live.

Safe access for AI tools

AI agents access your MongoDB data through governed MCP tools, within the same PII masking rules and audit trail as every human user.

See how it works for you