Taking back control of data requires a commitment to developing enterprise-wide visibility into where data resides, how old ...

To govern AI safely and keep its speed advantage, enterprises must move from static, rule-based control systems to adaptive, ...

A Competitive Takeout Program designed to help organizations escape the high cost and complexity of legacy metadata ...

Overview: Enterprises are depending on AI-powered data governance software to ensure data quality, security, and compliance ...

Liquibase, the leader in Database Change Governance, today announced new AI governance capabilities in Liquibase Secure, extending enterprise control to the database layer. The update addresses a ...

Complementary solutions automate discovery, governance, and enforcement of data sharing and transfer Together with ...

More than any other factor, the hyperabundance of accessible data has powered today’s surge in AI adoption and generative AI capability. Collecting, cleaning, organizing, and securing that data for AI ...

The BFSI industry is a highly regulated sector wherein companies need strong data controls to comply with stringent standards ...

As healthcare data grows more complex and cyber threats become more severe, the need for strong data governance and cohesive, system-wide analytics strategies has never been greater. Yet even today, ...

Data fabric is a powerful architectural approach for integrating and managing data across diverse sources and platforms. As enterprises navigate increasingly complex data environments, the need for ...

Key data and analytics trends in 2026 include decision intelligence, real-time analytics, semantic layers, platform ...

AI and data sovereignty won’t wait. The question regulators, auditors, and AI systems are asking is simple: Where is the data, and can you prove it?” — Tim Freestone, Chief Strategy Officer at ...