AI is stress-testing database infrastructure. Teams using Liquibase Community face scaling challenges that only Liquibase Secure can solve.
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“QueryData shows Google is trying to create a standard way for AI agents to safely access and use data. While OpenAI focuses ...
Proof-of-concept exploit code has been published for a critical remote code execution flaw in protobuf.js, a widely used ...
Recent SQL Server 2025, Azure SQL, SSMS 22 and Fabric announcements highlight new event streaming and vector search capabilities, plus expanding monitoring and ontology tooling -- with tradeoffs in ...
An ODBC driver acts as a translator, allowing your favorite desktop and server applications to 'speak' to the HubSpot API as ...
Artificial intelligence is rapidly entering nearly every stage of the software development lifecycle. From code generation to ...
How mature is your AI agent security? VentureBeat's survey of 108 enterprises maps the gap between monitoring and isolation — ...
Learn how Power BI Analytics in Microsoft BI uses data modeling, DAX, Power Query M, and a data gateway to build secure, ...
AI applications do not run on models alone. They run on timing. A support copilot, fraud system, recommendation engine, or AI ...
Open-source platform with 30+ MCP tools lets AI agents autonomously create pipelines, query databases, search vector ...