DataGuard DSPM

Acts as a single platform for both Data Security Posture Management (DSPM) and Data Detection and Response (DDR), providing a holistic approach to data security.

Discovers, maps, and monitors sensitive data across cloud, on-premises, and hybrid environments, even at yottabyte scale, to show what data you have, where it lives, who has access, and how it's being used.

Proactively reduces the blast radius and attack surface of data by identifying and remediating risky configurations, excessive permissions, and data sprawl.

Detects abnormal data operations and policy violations in real-time through anomaly detection and deterministic alerts on sensitive data access, reducing mean time to detect and respond (MTTD/MTTR).

Provides tools for comprehensive permission analysis, connecting data to identities and helping to enforce least privilege access.

Reduces the sensitivity of data used by AI agents and helps manage data risks for new technologies, enabling faster and more secure adoption of cutting-edge tools like Generative AI.

Decreases data storage costs through cleanup initiatives (e.g., identifying and removing dormant data) and helps avoid the much larger losses associated with data breaches.

Delivers actionable insights within minutes of deployment, allowing organizations to quickly improve their data security posture.

Proven ability to handle and secure extremely large volumes of data, scaling with enterprise needs.

Offers a predictable pricing model that remains consistent regardless of the scale of data being managed.

Can be deployed securely in highly regulated and sensitive environments.

Supports a wide range of data stores including:

Covers major cloud providers like AWS, Azure, GCP, and OCI.

Includes coverage for popular SaaS platforms like Salesforce, OneDrive, SharePoint, Google Drive, Dropbox, Box, and Slack.

Covers traditional on-premises databases and file shares, including Hadoop, Apache Ranger, and SQL Server.

Secures data in predefined formats such as relational databases.

Protects data in any format, including files, images, and documents.

Focuses on identities (human and non-human) and their access to data, helping to manage risks related to compromised credentials and insider threats.

Automates the enforcement and remediation of dormant, excess, and unauthorized permissions to sensitive data.

Offers API interoperability with most modern security tools, allowing it to fit seamlessly into existing security ecosystems.

Helps organizations meet regulatory requirements (e.g., GDPR, HIPAA, PCI DSS 4.0) by providing audit reports, visibility into data movement, and supporting ethical walls.

Features a user-friendly interface with intuitive controls, and in some cases, an LLM-based natural language interface for easier data risk understanding.

Addresses critical use cases such as data inventory, ransomware protection, Zero Trust implementation, and cloud transformation.

Offers tailored solutions for various industries including Financial Services, Healthcare, Communication, Technology, Retail & eCommerce, Manufacturing, Federal Government, Energy, and Education.