Artificial intelligence is rapidly entering nearly every stage of the software development lifecycle. From code generation to automated testing, AI tools are increasingly embedded in the daily ...

Anthropic introduces “repeatable routines” in Claude Code, bringing AI-powered automation and a redesigned workspace to ...

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.

If you are a CIO or CISO evaluating an agentic AI platform, ask the same questions you would ask about any enterprise ...

Inside OpenAI’s ‘self-operating’ infrastructure, where Codex-powered AI agents debug failures, manage releases, and compress ...

In today's security landscape, some of the most dangerous vulnerabilities aren't flagged by automated scanners at all. These ...

The Indian Computer Emergency Response Team has alerted users of Microsoft products about a significant vulnerability ...

Hillman highlights Teradata’s interoperability with AWS, Python-in-SQL, minimal data movement, open table formats, feature stores, and “bring your own […] Apr 10, 2026 Read in Browser  Apr 10, 2026 ...

Most organizations did not fail at cloud security because they misunderstood the technology, rather they failed because they tried to secure it afterwards.

Enterprises are struggling to scale agentic AI. Here’s what’s holding them back and what it takes to move from pilots to production. The post Agentic AI: Scaling from pilots to production appeared ...

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