Define and control data access

Data access governance is the process of managing and controlling access to organizational data.

Establishing comprehensive data access policies is a cornerstone of effective data governance and security, particularly in industries where sensitive information is routinely handled. These policies define who has the right to view or manipulate data within an organization, ensuring employees only have access to the information necessary for their roles.

The goals of a scalable data access governance program are to enhance data security and regulatory compliance, as well as prevent unauthorized access and data breaches.

Why is policy control important?

No organization wants the notoriety that follows a data breach or an example of an AI model that uses data it shouldn’t. Policy control is paramount, serving as the framework for dictating how data can be accessed, shared and used.When you can control data access, your organization can:

Mitigate risk
Ensure compliance
Build trust

Key features to look for

Data access policy overview: Govern data policies from a single pane of glass
No-code policy builder: Easily write and push policies to the cloud
Automatic data classification: Take advantage of automatic classification to understand the content and sensitivity of data
Enterprise data catalog: Organize and maintain an inventory of your organization’s sensitive data across departments and domains
Granular access controls and protection: Enable access controls at the column and row level

Use cases by use case:

R&D: Ensure the right teams can access proprietary and customer data while protecting confidential information from access
HR analytics: Analyze workforce data for talent management and strategic hiring plans while safeguarding personal data
Auditing and reporting: Facilitate auditors’ access to financial records and operational data without exposing sensitive business or employee information

Use case by industry

Automotive: Ensuring auto manufacturers both safeguard personal driver information while using data to innovate and improve the driving experience and supporting infrastructure
Entertainment: Leveraging user preferences for personalized experiences while maintaining confidentiality of usage habits and subscription details
Local government: Protecting citizen data from unauthorized access while ensuring it is available for public services, policy making and intra-agency collaboration