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Quest Software Targets AI-Ready Data and Identity Security With New Platform Tools and NIST-Aligned Campaign

Quest Software Targets AI-Ready Data and Identity Security With New Platform Tools and NIST-Aligned Campaign

Quest Software advanced its dual focus on trusted data and cybersecurity this week, unveiling major enhancements to its Trusted Data Management Platform. The company introduced Quest Data Modeler and Quest Data Intelligence, cloud-native tools designed to help enterprises model, govern, and deliver AI-ready data while reducing fragmentation and enforcing consistent definitions.

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The new offerings embed AI into both data modeling and governance, operating as a unified SaaS platform that supports Microsoft Fabric, Databricks, and Snowflake environments. Quest says this integrated approach creates a single audit trail and common data language across users and systems, targeting highly regulated, data-intensive sectors seeking to scale AI while maintaining compliance.

Customer and partner feedback, including from JP Morgan Chase and regional partners, points to improved collaboration between business and IT, faster iteration cycles, and stronger foundations for scalable AI ecosystems. Strategically, the additions broaden Quest’s revenue opportunity by covering both structural and control layers of data management, reinforcing its role as an enabling layer for enterprise AI initiatives.

In cybersecurity, Quest promoted its new “Beyond Detection” webinar series focused on identity risk across Microsoft Active Directory and Entra ID environments. The first episode, scheduled for May 19 and aligned with the NIST Cybersecurity Framework, aims to help organizations uncover accumulated identity risk stemming from configuration changes and inherited access rights.

The identity-focused campaign underscores demand for visibility and governance tools in hybrid and cloud identity infrastructures. By tying its guidance to NIST standards and emphasizing identity resilience, Quest is sharpening its positioning with enterprises and public-sector entities that prioritize compliance-driven security.

Quest also highlighted joint research with Omdia showing data teams spend about 81% of their time duplicating work, with reusable, automated data products linked to faster insights and better accuracy. Overall, the week’s developments indicate a cohesive strategy that integrates AI-ready data management with identity-centric cybersecurity, potentially strengthening Quest Software’s competitive standing in both markets.

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