Tenable Research revealed "LeakyLooker," a set of nine novel cross-tenant vulnerabilities in Google Looker Studio. These flaws could have let attackers exfiltrate or modify data across Google services ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Teradata Enterprise Vector Store unifies structured and unstructured data with agentic capabilities across hybrid environments, enabling rapid deployment of production-ready AI systems 10 — Teradata ...

The focused large language model is designed to help provide caregivers and administrators answers to their questions based on their own organization's data, the vendor's chief data scientist ...

Boston’s chief information officer on a pioneering experiment leveraging AI to expand the public’s access to government. The next wave of AI will be defined by agentic systems that can take actions: ...

First of four parts Before we can understand how attackers exploit large language models, we need to understand how these models work. This first article in our four-part series on prompt injections ...

Perplexity announced Computer for Enterprise at its Ask 2026 developer conference, launching a multi-model AI agent with Slack integration, Snowflake connectors, and 20 orchestrated AI models to ...

Building an open-source data lakehouse costs $520K/year in engineering time, before licenses and infra. The real all-in cost ...

AI is accelerating in terms of speed and capabilities, enabling it to do things only humans COULD DO, meaning convergence (SINGULARITY) is coming.