The attacks on CVE-2026-0768 are the latest threats against the low-code AI development platform, which adversaries are ...

Language problems that require repeated correction could create productivity drag, operational risks, and hidden costs for enterprise development teams, analysts say.

Anthropic Model Hardware Standard (MHS) cuts AI-to-lab-instrument integration from weeks to hours. Claude drove QuEra's ...

CrowdStrike clocks 29-minute breakout times and an 89% surge in AI-augmented attacks. Here is the five-phase framework I use with CISOs to close that gap, with budget splits and a board script.

How does the Model Context Protocol actually work, and why should founders care? MCP standardizes how AI agents connect to ...

Automation Agent proofreads Premiere transcripts with context, confidence levels, scoped permissions and human approval.

A new open-source project called Cybermes has entered the crowded field of AI-powered offensive security tooling, positioning ...

Fabiane Nardon shares how TOTVS prepares enterprise data for token-hungry AI agents. She discusses balancing deterministic ...

MCP's July 2026 spec rewrite went stateless and made Client ID Metadata Documents the standard, not audience-bound tokens, which have been mandatory since mid-2025. What actually changed since ...

Microsoft added a channels system to its Agent Framework for Python, allowing the same agent or workflow to operate through MCP, A2A, OpenAI Responses clients, and Telegram.

By using a sustainable testing strategy, you can skip unnecessary tests, ensure failing fast and early, and only run tests ...

Ramaswami made his remarks about Arm and Nutanix’s on-prem cluster during a media briefing about the company’s Q4 results, ...