Symmetry Systems Strengthens Data+AI Security for On-Premise Environments

Enhancing Data+AI Security in On-Premise Settings



Symmetry Systems, a key player in the Data+AI security space, recently announced its expanded support for enterprise on-premise environments. With the introduction of new connectors for IBM AS/400, IBM DB2, and Nutanix, the company takes a significant step toward solidifying its position as a leader in the security field.

In today’s digital landscape, the management and protection of sensitive data is paramount. Large enterprises, especially financial institutions, healthcare organizations, and government agencies, manage vast quantities of critical data still housed within on-premise and legacy systems. As cloud adoption continues to rise, organizations still face the reality that their most vital information resides on physical servers and outdated databases.

The New Connectors and Their Importance



Symmetry’s newly released connectors are designed to enhance existing on-premise security features, allowing organizations to discover, classify, and protect sensitive data across various systems. The enhanced platform now includes capabilities to secure airgapped environments—an essential requirement for highly regulated industries such as finance and healthcare. This is crucial since these sectors often handle sensitive information that must not be exposed to external networks.

Dr. Mohit Tiwari, CEO of Symmetry Systems, emphasizes their commitment to a “get everywhere” philosophy, which reflects the understanding that customer data lives across various environments. Instead of dictating what systems can be secured, Symmetry focuses on developing connectors that meet the unique needs of its clients. This approach enables the platform to continuously expand its coverage based on real-world requirements, ensuring comprehensive security.

Comprehensive Visibility and Classification



With the extended capabilities, security teams can now gain unified visibility across structured and unstructured data, whether it is housed in cloud environments, SaaS platforms, or legacy on-premise systems. This holistic view allows organizations to correlate cloud identities with on-premise access patterns, enhancing their understanding of data flow and access controls in hybrid environments.

Moreover, these developments facilitate easier compliance with regulations such as GDPR, CCPA, HIPAA, and PCI DSS, by providing essential tools for monitoring and reporting across the entire data estate. In a world where data governance is increasingly important, the ability to manage compliance effectively can be a decisive factor for organizations.

Managing AI Risk in Legacy Systems



Interestingly, the latest features not only enhance security measures but also help organizations when it comes to Artificial Intelligence. Many businesses are now leveraging AI systems for various applications, which requires careful consideration of the data used for training these models. By enabling the discovery and classification of sensitive data within legacy systems, Symmetry Systems reduces the risks associated with AI deployments, ensuring that data used for training does not inadvertently expose sensitive information.

Conclusion



The expanded capabilities by Symmetry Systems mark a significant advancement in Data+AI security. For organizations still reliant on on-premise systems, the ability to secure data comprehensively is no longer just a goal—it is now a reality. Symmetry's commitment to building connectors that meet the unique needs of enterprises simplifies the complex challenge of data security, allowing organizations to confidently protect their most sensitive information, regardless of where it resides.

For more information on the expanded offerings and to schedule a demo, organizations can visit Symmetry Systems.

Topics Consumer Technology)

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