Built for agents, ThoughtSpot Spotter Semantics adds next-gen search tokens and aggregate awareness to deliver consistent, contextual and actionable analytics at enterprise scale MOUNTAIN VIEW, Calif.

Tenable Research has uncovered a series of security vulnerabilities in Google Looker Studio, dubbed "LeakyLooker," that allowed attackers to run arbitrary SQL queries on victims’ databases and ...

Based on Bloomberg's macro forecasting model, oil at $108 per barrel adds about 0.8 percentage points to US inflation by year-end. Stack that on top of the pre-war inflation forecast of roughly 2.9%, ...

SQL Server 2025: Redefining the modern data platformIssued by Ascent TechnologyJohannesburg, 11 Mar 2026 SQL Server 2025: Redefining the modern data platform. Explore how SQL Server 2025 reshapes the ...

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 ...

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 ...

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: ...

SQL Server tools are used across industries to improve the performance, security, and automation of databases. Modern tools support cloud-hybrid s ...

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 ...

The Evo2 genomic language model can generate short genome sequences, but scientists say further advances are needed to write ...

Discover a simple method to uncover what truly energizes you and start building a life of purpose—one mini experiment at a ...

OpenAI’s internal AI data agent searches 600 petabytes across 70,000 datasets, saving hours per query and offering a blueprint for enterprise AI agents.