Quest Software intensified its focus on AI-ready data and identity security this week, unveiling major enhancements to its Trusted Data Management Platform. The company introduced cloud-native Quest Data Modeler and Quest Data Intelligence tools to help enterprises model, govern, and deliver AI-ready data while reducing fragmentation.
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The integrated SaaS platform supports Microsoft Fabric, Databricks, and Snowflake, creating a single audit trail and common data language across users and systems. Feedback from customers and partners such as JP Morgan Chase points to better collaboration between business and IT and stronger foundations for scalable AI ecosystems.
In parallel, Quest advanced its cybersecurity positioning with an identity-centric campaign aligned to the NIST Cybersecurity Framework. Its new “Beyond Detection” webinar series targets identity risk in Microsoft Active Directory and Entra ID environments, aiming to help organizations uncover hidden exposures from configuration changes and inherited access rights.
The company also used LinkedIn and external commentary to highlight emerging identity risks tied to generative AI tools like Claude Mythos and initiatives such as Project Glasswing. Quest framed “identity resilience” as critical during IT migrations and modernization, when security controls may weaken and attackers can exploit gaps faster than internal teams.
By linking trusted data management with identity-focused security, Quest is presenting a cohesive strategy for enterprises modernizing data and infrastructure for AI. This dual emphasis could support recurring revenue growth and deepen the firm’s role in mission-critical workflows, particularly in regulated and security-sensitive sectors.