Dasera Release Secures Data Life Cycle for Cloud Data Stores
Provides visibility, governance, and protection capabilities, enabling safe use of sensitive data throughout the life cycle from creation to compliant-safe use.
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Dasera, Inc., a cloud data life cycle security startup, released the “Yellowstone” update of its product for cloud data warehouses and data lakes. The release features new capabilities for automated visibility, federated governance, and simplified protection.
“We’re on a mission of helping build trust between consumers and companies by enabling safe use of sensitive data,” said Ani Chaudhuri, CEO and co-founder of Dasera. “Inside cloud environments, data has a dynamic life cycle that includes changing data locations, complex data properties, data users with varying skills, and dynamic new ways to use data. The Yellowstone release will help security teams discover, manage, and secure data using intelligent processes and efficient workflows.”
Dasera Yellowstone new features include:
Automated visibility
- Data classification and tagging: Dasera’s automatic data classification finds sensitive fields that security teams can review. Now you can also use regular expressions to define new sensitive data types. The release also includes automated data tagging for regulations such as CCPA and the GDPR. You can also create custom classifiers for data, teams, roles, and individuals to write targeted policies for them.
- New dashboard and visualizations: The Dasera Dashboard gets a makeover with several new visualizations that you can click through to see detailed reports including where sensitive data is stored, how it was used, and where the risks were.
- Additionally you can upload your employee directory information (through a CSV) to see employee details such as name, team, department, manager name, etc., in Dasera reports. This helps identify the sources of risk faster so you can act on the insights through training, follow up, and other actions.
Automated Governance
- Out-of-box policies: Dasera’s policy engine is pre-populated with policies and needs no intervention for initial scans. These out-of-box policies are based on data security and governance best practices.
- Zero-code policy editor: The platform includes a zero-code policy editorso anyone -- a business or technical user -- can create new policies.
- Legal and compliance teams get more hands-on by writing simple and/or statements and can create targeted policies by using data tags that you define, as well as what remediation actions -- alerts, workflows -- Dasera should trigger for violations.
Automated Protection
- Alert life cycle: Dasera can automatically alert security teams of policy violations via email, Slack, PagerDuty, or messaging services such as Amazon SNS. Employees and their managers can also be set up to receive email warnings for anomalous behaviors to detect credential theft. Low-touch remediation methods ensure that your teams can be agile with their data use without compounding the work for security teams.
- Weekly data user feedback: Employees with data-intensive roles can be set up to receive weekly personalized feedback reports that benchmark an employee's use of sensitive data and highlight opportunities for improvement.
- Google BigQuery: The aim is to extend the coverage of Dasera to all leading data stores. This release added Google BigQuery support.
For details visit https://www.dasera.com/.