Introducing A Low-Code Policy Builder for Rapid Development

Policy-Based Data Filtering

Filter and mask application responses using one policy standard for all your authorization needs.

Application Data Filtering

Applications must tailor the data they show according to the user and the context. In a banking application, a customer is shown transactions from the accounts they hold. A loan officer is shown loans assigned to them. Unnecessary personal information is hidden or masked.

Problem

Tightly Coupled Data Filtering without Central Visibility

The filtering and masking logic is traditionally built into the application’s core business logic. But as market and compliance demands grow, this approach slows down your developers and your business:

Tight-coupling of security and business logic makes both difficult to understand.
Evolving the business logic risks breaking security.
Updating security runs the risk of breaking the business logic.
Security cannot be reviewed or tested apart from the application code.
Siloed implementations across teams and languages lack central governance.

Solution

Standardize and Simplify Data Filtering

Simplify your developers’ work:

Define filtering and masking logic in declarative rules.
Enforce filtering through Styra SDKs for popular programming languages, application frameworks, and databases/ORMs
Change, test, and audit data filtering independently from the application code.
Evolve the core business logic without fear of breaking the data filtering.
Govern every app from one platform.

See How It Works

Standardize Your Data Filtering with the Enterprise OPA Platform

Platform Benefits in Data-Filtering

Untangle Data Filtering from Business Logic

Decouple filtering logic from business logic to streamline application development. Change, test, and audit your data filters without touching the application code. Define filtering and masking logic declaratively using the de facto policy as code standard.

Standardize across Teams and Languages

Implementing data filtering is undifferentiated heavy lifting repeated across teams, apps, and endpoints. Simplify and standardize data filtering with one platform. Share and reuse filtering logic across teams, languages, and architectures.

Precisely Protect Sensitive Data

Counter hackers and phishers by fine-grained data filtering that enforces the principle of least privilege. Enrich your RBAC with attributes, context, and relationships to give every user just the data they need.

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