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Dasera

Dasera is a data security and governance platform for cloud data stores that automates discovery, classification, monitoring, and policy enforcement on sensitive data across its lifecycle.

  • Continuous data discovery and classification across cloud data warehouses, data lakes, and other repositories (data security).
  • Behavioral monitoring of users and data access to detect policy violations and risky usage patterns (data access governance).
  • Data Loss Prevention (DLP) controls for cloud data environments, including alerting and workflow-driven remediation (data loss prevention).
  • Unified policy management that maps data access and usage to compliance and privacy requirements such as internal governance rules (compliance management).
  • Integration with enterprise data stacks and security tooling to centralize visibility into sensitive data usage (security operations).

More About Dasera

Dasera focuses on securing data that resides in cloud-centric analytics and storage platforms, where datasets are copied, shared, and queried by multiple personas such as data engineers, analysts, and application teams. Organizations use the platform to catalog sensitive data across structured and semi-structured stores, classify it based on data type and sensitivity, and enforce governance rules that address internal policy and regulatory requirements. The product is positioned in the data security, Data Security Posture Management (DSPM), and data access governance categories.

The platform connects to cloud data warehouses, data lakes, and other repositories to perform automated data discovery and classification. It scans metadata and, when configured, sample data to identify sensitive elements such as personal data fields, financial attributes, and other regulated categories. Classification results populate an inventory that security and data governance teams use to understand where sensitive data resides, how it is organized, and how it propagates across environments and projects.

Beyond static cataloging, Dasera applies behavioral monitoring to track how users and applications access and use data over time. The system analyzes query patterns, data movement, and configuration changes to flag behavior that diverges from stated policies or past baselines. This supports use cases such as detecting exposure of sensitive fields to unauthorized roles, usage of data in unapproved locations, or abnormal queries that touch high-risk tables.

Dasera also implements policy-based controls and workflows that align data access and usage with enterprise governance frameworks. Security and compliance teams define rules around who may access which datasets, under what conditions, and for which purposes. When rules are violated or at risk of violation, the platform can generate alerts, trigger approval workflows, and integrate with ticketing or incident systems so that teams can investigate and remediate access or configuration issues.

In terms of architecture, Dasera is built to integrate with existing cloud data platforms, identity and access management (IAM) systems, and Security Operations (SecOps) tooling. It typically connects via APIs, data connectors, and role-based access integrations to collect telemetry and apply policies without interrupting primary data pipelines. Within enterprise environments, the platform is used by SecOps, data governance, and privacy teams as a control layer that sits alongside cloud data platforms, Security Information and Event Management (SIEM) tools, and broader data management solutions.

For directory and marketplace categorization, Dasera fits into data security, DSPM, data access governance, and cloud DLP categories. Its core focus is on enterprise use cases where multiple teams access shared cloud data assets and where organizations require centralized visibility into sensitive data, continuous monitoring of data usage, and enforcement of granular data governance policies.

At-A-Glance

  • Employees: 45
  • Estimated Annual Revenue: $1M-$10M

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Corporate Headquarters

2483 Old Middlefield Way
Mountain View, CA 94043

Market Segmentation

  • Type: Private
  • Sector: Information Technology
  • Group: Software & Services
  • Industry: IT Services
  • Sub-Industry: Data Processing & Outsourced Services