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 [...]
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 [...]
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 [...]
Over the weekend, Reddit user -void1 posted an alarming discovery on the r/ClaudeAI subreddit: some conversations that users of Anthropic's Claude AI chatbot had made "shareable" via a [...]
A rogue AI agent at Meta passed every identity check and still exposed sensitive data to unauthorized employees in March. Two weeks later, Mercor, a $10 billion AI startup, confirmed a supply-chain br [...]
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 [...]
Whether in Ancient Greek parodies, Shakespeare's subtle jabs at the haughty upper class or Jon Stewart's takedowns of the latest Washington absurdities, humor can be a razor-edged weapon tha [...]
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 [...]