Okera

Okera is an AI-centric data governance platform offered by Okera Inc. According to the vendor, the platform is designed to secure and liberate data and AI models for organizations. It provides features such as fine-grained data access control, policy management, and sensitive data usage intelligence. Okera is aimed at companies of all sizes, including small businesses and large enterprises. It is utilized by professionals in various roles, including data leaders, IT leaders, security leaders, data analysts, and data scientists. The platform is commonly used in industries such as financial services, health and pharmaceutical industries, manufacturing, retail and ecommerce, and technology.

Key Features

Dynamic Data Access Management: Okera offers a platform-agnostic policy manager that simplifies data access governance across different data platforms. According to the vendor, organizations can enforce consistent data access policies and collaborate on managing policies in a language understandable to non-technical stakeholders.

Discover and Classify Sensitive Data: Okera provides ML-powered autotaggers for automatic classification of sensitive data. Users can also create custom autotaggers or use lightweight data discovery and classification capabilities. The platform can integrate with enterprise-grade data catalogs, enabling attribute-based access control (ABAC) policies.

Secure Your Modern Data Analytics Stack: Okera integrates with modern analytics and data science platforms such as Amazon EMR, Databricks Lakehouse Platform, and Snowflake Data Cloud. According to the vendor, it ensures consistent data security across these platforms by synchronizing sensitive data classifications and enforcing access policies.

Consistent Policy Enforcement: Okera enforces data access policies consistently across cloud data warehouses, data lakes, and lakehouse platforms. The platform offers multiple enforcement patterns, such as native policy sync and query rewrite, allowing dynamic filtering, masking, tokenizing, or de-identifying sensitive data based on user roles and attributes.

Audit and Analyze Sensitive Data Usage: Okera provides self-service sensitive data usage intelligence for audit, security, and data privacy compliance teams. It enables monitoring of data access violations, regulatory compliance reporting, and incident response. The platform can also identify over-provisioned users to maintain least-privilege access.

Fine-Grained Data Access Control: Okera offers granular control over data access by defining access policies based on attributes, roles, and conditions. According to the vendor, it ensures that data is accessed only by authorized users and provides detailed visibility into data access patterns.

Data Classification and Tagging: Okera allows users to classify and tag data based on sensitivity, ensuring proper handling and protection. The platform offers ML-powered autotaggers, pattern matching, and custom tagging options to simplify the data classification process.

Policy Collaboration and Management: Okera enables collaboration and management of data policies across teams and departments. Non-technical stakeholders can participate in defining and managing policies, ensuring alignment with business requirements.

Sensitive Data Masking and Tokenization: Okera provides data masking and tokenization capabilities to protect sensitive information during data processing and analytics. According to the vendor, this ensures data privacy and compliance with data protection regulations.