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Oracle converges the AI data stack to give enterprise agents a single version of truth
Enterprise data teams moving agentic AI into production are hitting a consistent failure point at the data tier. Agents built across a vector store, a relational database, a graph store and a lakehous [...]
In the wake of Claude Code's source code leak, 5 actions enterprise security leaders should take now
Every enterprise running AI coding agents has just lost a layer of defense. On March 31, Anthropic accidentally shipped a 59.8 MB source map file inside version 2.1.88 of its @anthropic-ai/claude-code [...]
Databricks' serverless database slashes app development from months to days as companies prep for agentic AI
Five years ago, Databricks coined the term 'data lakehouse' to describe a new type of data architecture that combines a data lake with a data warehouse. That term and data architecture are n [...]
SurrealDB 3.0 wants to replace your five-database RAG stack with one
Building retrieval-augmented generation (RAG) systems for AI agents often involves using multiple layers and technologies for structured data, vectors and graph information. In recent months it has al [...]
A huge unsecured credential database discovery is a great reminder to change your passwords
Today's report by security expert Jeremiah Fowler of a massive unsecured database full of usernames and passwords shouldn't necessarily frighten you, but it should spur you to action. If you [...]
AWS claims 90% vector cost savings with S3 Vectors GA, calls it 'complementary' - analysts split on what it means for vector databases
Vector databases emerged as a must-have technology foundation at the beginning of the modern gen AI era. What has changed over the last year, however, is that vectors, the numerical representations o [...]