Overview

Data security for the cloud presents numerous problems, including attackers generating adversarial inputs, dynamic benign infrastructure and the need to scale billions of data objects, which is well beyond human and security orchestration, automation and response (SOAR) rules’ capabilities. To handle these, detection response and cloud permissions tools should be balanced to build productive workflows for cloud security and data governance engineers.

Where traditional cloud data security vendor products are focused on monitoring data loss at the perimeter of their cloud, Symmetry Systems’ DataGuard secures data as it moves about within the organization’s cloud and can be deployed for on-premises and cloud workloads. Symmetry’s unique combination of AI/ML and core data security capabilities assess data stores and flows, together with identities, to understand and map an organization’s data risk posture. The platform also removes data security, identity, and access management gaps for hybrid cloud architectures.

DataGuard’s graph analysis and machine learning capabilities finetune detection-response cycles, optimizing efforts and resources. Security teams can drill down on unsafe data access and risky operations detected by a data firewall and alert on violations and potential data breaches. They know where to deploy least privilege permissions on IAM, cloud accounts, and data store access policies. By adopting data firewall recommendations, cloud security teams tighten access control to reduce the blast radius of exploited identities.

DataGuard incorporates zero trust principles into modern data store security, ensuring no one point of failure when systems experience a breach. Zero trust principles ensure that even if attackers know the database location/IP, username, and password, they cannot use that information to access privileged information.