TL;DR AI risk doesn’t live in the model. It lives in the APIs behind it. Every AI interaction triggers a chain of API calls across your environment. Many of those APIs aren’t documented or tracked.

Every secure API draws a line between code and data. HTTP separates headers from bodies. SQL has prepared statements. Even email distinguishes the envelope from the message. The Model Context Protocol ...

Google launches AI agent suite at Cloud Next 2026 with Workspace Studio, A2A protocol at 150 orgs, and Project Mariner. The pitch: only Google owns the full stack.

OpenAI launches ChatGPT Images 2.0 with image editing, reasoning, web research, multilingual support, and better text ...

Compare Data Scientist vs Machine Learning Engineer roles in India 2026. Explore salary, skills, career paths, and find which ...

A practical guide to Perplexity Computer: multi-model orchestration, setup and credits, prompting for outcomes, workflows, ...

Microsoft's Data API Builder is designed to help developers expose database objects through REST and GraphQL without building a full data access layer from scratch. In this Q&A, Steve Jones previews ...

During Google Cloud Next, Rubrik rolled out one announcement aimed at AI agent governance and another focused on cyber resilience for Google Cloud SQL.

Google Cloud and Oracle have expanded their partnership with the launch of the Oracle AI Database Agent for Gemini Enterprise, enabling natural language access to Oracle data without compromising ...

Google has expanded its 'Ask Gemini' AI assistant to Google Drive and Sheets, enabling advanced search, data integration, and workflow automation using organizational context. The rollout follows a ...

Finding the Sitecore developer is really important for your project to be successful. When you choose to hire Sitecore ...