Symmetry Systems Launches Innovative AI Classification Features and Open Source Taxonomy for Data Security

In an era where data protection is paramount, Symmetry Systems, a noteworthy player in the Data+AI security landscape, has made headlines by introducing an advanced AI-Powered Classification taxonomy. This innovative approach promises to redefine how organizations classify and secure sensitive data while facilitating industry-wide collaboration through open-source initiatives.

A Comprehensive Taxonomy for Data Security

On January 30, 2026, Symmetry Systems unveiled its latest offerings aimed at providing businesses with robust tools for data classification and security. The AI-Powered Classification system is designed to support the identification and categorization of sensitive data, utilizing a comprehensive framework that encompasses over 400 sensitive data identifiers, including Personally Identifiable Information (PII) and Protected Health Information (PHI). Moreover, it integrates a myriad of semantic data types that span various documents including contracts, financial records, and healthcare files.

The initiative seeks not only to enhance security protocols but also to address critical gaps in data security caused by fragmented classification standards across different vendors. By creating a unified model that supports major regulatory frameworks such as GDPR and HIPAA, organizations will find it easier to navigate compliance challenges and enhance their overall data management strategies.

Open-Sourcing the Taxonomy for Greater Collaboration

Recognizing the growing need for consistency in data classification, Symmetry Systems plans to release this taxonomy as an open-source project. This move is anticipated to foster vendor collaboration and standardization, reducing the friction that organizations often face due to disparate classification schemes. Senior Director of Information Security at Stanley 1913, Sameer Sait, emphasized this need, noting that vendor-specific taxonomies result in unnecessary complexity within security frameworks.

Dr. Mohit Tiwari, CEO of Symmetry Systems, articulated the company's vision by likening the release of their taxonomy to pivotal developments in AI frameworks, such as PyTorch. The goal is to enable organizations to articulate their data security policies in a common language, facilitating seamless integration across various platforms and systems without redundant efforts in reformatting compliance measures.

Bridging Business Policies and Technical Enforcement

The groundbreaking features of this classification system extend beyond mere categorization. Symmetry Systems aims to bridge the gap between business policies and their technical enforcement in practice. With the implementation of an open-standard taxonomy, organizations can now automatically translate high-level requirements into actionable policies across various data management platforms, such as Databricks and AWS.

For instance, a Chief Privacy Officer's directive stating that