In most companies, that knowledge is scattered. Definitions sit in a semantic layer, documents in a vector store, memory in a separate memory service, and traces and evaluations in observability tools ...

Oracle’s Deep Trust AI Architecture moves AI agent security into the database. This article looks at the announcement, how it ...

The new capabilities aim to help developers simplify enterprise data retrieval, maintain agent context across sessions, and ...

The Silicon Review ranks the top 10 database management companies of 2026 Oracle, Microsoft, AWS, MongoDB, and more. Founders ...

Learn about our latest advancements to delivering agentic-first experiences, borderless data, and trusted context for all ...

description Use when reviewing application source code for SQL injection, unsafe SQL or ORM query construction, including PHP, Doctrine, JavaScript, Python and other web stacks. Trace untrusted data ...

You want to replace a business process running on Access with a different system.When you think that way, what do you do ...

NVIDIA has open-sourced Auto Ontology, a framework designed to make AI agents more reliable when querying enterprise databases using natural-language instructions. The system creates a semantic layer ...

Preferred Source Google Discover VMPL New Delhi [India], November 3: Will AI reduce the need for data analysts in the future, ...

Discover how to use Google Cloud Database Migration Service to shrink Cloud SQL for SQL server disks with minimal downtime.

As enterprises race to connect AI agents to their most sensitive data, Oracle database tools specialist Jeff Smith is making a contrarian case: ...