Simplify data access governance and define it all from a single location
Accelerate data access governance by discovering, defining and protecting data from a unified platform. Enable enterprises to make policy decisions based on what, why and who should access data.
Govern data access policies from a single pane of glass. Engage stakeholders across data, privacy and business teams to collaborate on and review policies.
No-code policy builder
Experience an easy-to-use, no-code path to write and push policies to the cloud. Pre-populate policies by pulling in data asset information from your data catalog.
Data intelligence for smarter policies
Refine your access governance as you use it. Leverage metadata and business context to inform who, how and why data should be accessed.
Scalable enforcement
Write one-and-done policies to protect data in cloud platforms, such as Snowflake Data Cloud, Google Cloud, AWS and beyond.
Automatic data classification
Take advantage of automatic classification to understand the content and sensitivity of data. Scale data protection for massive volumes 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. Apply advanced protection with data masking, redacting or hashing functions.
Custom data masking
Bring Your Own Masking for Snowflake and Databricks allows custom functions to be applied to every data category and class, providing consistent masking techniques and tools for your entire enterprise.
Frequently asked questions about data access control and governance
Data access governance is the process of managing and controlling access to your organization's data. 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.
Data access control is a subset of data access governance that refers to the methods used to regulate the viewing and use of specific data in a database or other IT system. The control measures can be as straightforward as multi-factor authentication and as complex as advanced encryption algorithms.
Getting started with data access governance involves three key steps. First, define your data access policies, outlining who has the right to access data and under which specific circumstances. Second, identify your data assets and classify them based on their sensitivity or confidentiality. Third, implement a data governance solution to manage permissions and continuously monitor data access to detect any potential anomalies or misuse. Collibra provides a data intelligence platform that can help with all these steps.
Protecting company data requires a comprehensive strategic approach that includes implementing strong data access governance and control, continuously assessing and updating security software, educating employees about cybersecurity best practices and maintaining regular data backups. Data protection tools, such as Collibra Protect, can help detect potential threats, automate data privacy and security processes, and ensure compliance with data protection regulations.
