Quest Software Expands Trusted Data Platform With AI-Driven Modeling and Governance Suite

New updates have been reported about Quest Software.

Quest Software has introduced two major additions to its Trusted Data Management Platform, positioning the company more directly at the center of enterprise AI data infrastructure. The new Quest Data Modeler, a cloud-native, AI-assisted data modeling tool, and Quest Data Intelligence, an expanded suite of AI-enabled governance and intelligence capabilities, are designed to unify how data is modeled, governed, and consumed across modern data stacks.

By embedding AI into both modeling and governance, Quest aims to solve a core enterprise problem: fragmented tools, inconsistent definitions, and ungoverned AI assistants that undermine trust and regulatory compliance. Operating within a single SaaS platform, Quest Data Modeler establishes logical definitions, naming standards, and shared semantics, while Quest Data Intelligence enforces governance, lineage, compliance, and quality, creating one audit trail and a common data language across users and systems.

Chief Product and Technology Officer Michael Laudon framed the launch as central to Quest’s strategy to provide “trusted, AI-ready data” across varying stages of data and AI maturity, from basic visibility and quality to full data productization. This expanded platform targets organizations in highly regulated and data-intensive sectors that need to accelerate AI deployment while containing risk, and it integrates with leading environments including Microsoft Fabric, Databricks, and Snowflake to support hybrid and cloud architectures.

Customer and partner feedback suggests the releases have strategic implications for Quest’s competitive position in data management and governance. JP Morgan Chase highlighted Quest’s data modeling as foundational to scalable, trusted AI ecosystems, while partners MDSap Tech and Tecnet Dati emphasized broader business-user participation, faster iteration cycles, and improved alignment between business and IT, all of which can increase stickiness and expansion potential within existing accounts.

Strategically, the enhancements broaden the revenue surface area of the Trusted Data Management Platform by covering both structural (modeling) and control (governance and intelligence) layers in a single offering, an area where Quest claims no comparable integrated competitor. For executives and investors, the move reinforces Quest’s role as an enabling layer for enterprise AI initiatives, supporting over 45,000 customers globally, including the majority of Fortune 500 firms, and could drive higher platform adoption, cross-sell opportunities, and long-term subscription growth as AI programs scale and regulatory expectations tighten.