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Symmetry Systems Enhances Data+AI Security for Enterprises

Symmetry Systems Enhances Data+AI Security for Enterprises

Leading the Charge in Data+AI Security for On-Premise Enterprises

Symmetry Systems has taken a significant leap forward by enhancing its Data+AI security platform, specifically focusing on enterprise on-premise environments. With the introduction of new connectors for IBM AS/400, IBM DB2, and Nutanix infrastructure, the company reinforces its commitment to a 'get everywhere' philosophy, ensuring comprehensive Data+AI security across diverse infrastructures, whether cloud, SaaS, hybrid, or legacy systems.

The Essential Role of On-Premise Security

Even as more organizations turn toward cloud solutions, many still rely heavily on their on-premise and legacy systems for critical data management. For industries like finance and healthcare, where vast amounts of data are stored locally, the need for a robust security framework is paramount. Symmetry Systems acknowledges this reality, tailoring its services to meet the unique needs of these sectors, ensuring their sensitive data remains protected regardless of its location.

A Philosophy of Accessibility

At the heart of Symmetry's approach is a philosophy that emphasizes accessibility. Known for their 'get everywhere' ethos, the company strives to develop connectors for all data systems customers want to secure, regardless of age or architecture. This adaptive strategy stands in stark contrast to traditional security solutions that require organizations to pick sides between legacy systems and cloud-native options.

Insights from Leadership

Dr. Mohit Tiwari, the CEO of Symmetry Systems, expressed his views on the importance of legacy data security: "Our commitment goes beyond just offering solutions; we engage with customers to understand where their data resides and then build the necessary connectors. Protecting historical data, which includes crucial patient records and financial transactions, is vital. Therefore, our focus is on providing comprehensive Data+AI security wherever data lives and with the latest updates, this commitment is even more robust."

Key Enhancements to the Security Platform

The newly introduced connectors enhance the capabilities of security teams, allowing them to:

  • Discover, classify, and label sensitive data across various systems including IBM AS/400, DB2, and Nutanix, while offering the potential for additional connectors as needed.
  • Secure airgapped environments that are critical for government and highly regulated sectors, ensuring compliance with stringent security requirements.
  • Achieve unified visibility of both structured and unstructured data within cloud, SaaS, and on-premise systems, facilitating comprehensive data management from a single platform.
  • Manage identities and operational insights by correlating cloud identities with on-premise access patterns across hybrid environments.
  • Enhance cloud migration by assessing data sensitivities and dependencies in legacy systems prior to transitioning to cloud solutions.
  • Streamline compliance reporting across various regulations such as GDPR, HIPAA, and CCPA, ensuring organizations meet emerging AI governance standards.
  • Minimize AI risks by enabling the discovery and classification of sensitive data in legacy systems that may be utilized for training AI models.

Availability and Future Directions

The enhanced capabilities are currently available for all Symmetry Systems customers. Organizations interested in learning more about these new offerings can request a demo via their website. The commitment to securing enterprise data continues as Symmetry Systems focuses on developing innovative approaches that address the unique challenges faced by enterprises today.

A Closer Look at Symmetry Systems

Symmetry Systems stands out as a leader in Data+AI security, boasting a comprehensive platform that discovers, classifies, and monitors sensitive data across a variety of environments. The company's solutions stem from groundbreaking research and are designed to protect data not only in major cloud environments but also within legacy on-premise systems and airgapped frameworks.

Conclusion

Symmetry Systems provides organizations the essential tools they need to tackle data security in a landscape that is rapidly evolving. The combination of identity management and data context creates an unparalleled visibility into data exposure, enabling businesses to conduct their operations with confidence.

Frequently Asked Questions

What is the 'get everywhere' philosophy?

Symmetry Systems' 'get everywhere' philosophy emphasizes the creation of connectors for all data systems that customers need to secure, ensuring a comprehensive approach to data security.

How do the new connectors benefit security teams?

The new connectors allow security teams to discover and classify sensitive data across various systems, enabling better management and protection of that data.

Is the software suitable for airgapped environments?

Yes, the platform includes capabilities specifically designed for securing airgapped environments critical for government and regulated industries.

What challenges do legacy systems present for data security?

Legacy systems often contain sensitive historical data that require specific security measures to protect against unauthorized access and data breaches.

How can organizations learn more about the new offerings?

Organizations can get more information and request a demo through the Symmetry Systems website to explore the expanded on-premise capabilities.

About The Author

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The content of this article is based on factual, publicly available information and does not represent legal, financial, or investment advice. Investors Hangout does not offer financial advice, and the author is not a licensed financial advisor. Consult a qualified advisor before making any financial or investment decisions based on this article. This article should not be considered advice to purchase, sell, or hold any securities or other investments. If any of the material provided here is inaccurate, please contact us for corrections.

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