Agentic workflows enable AI to write code, debug, and test embedded systems when equipped with proper tools and safeguards.

Microsoft Threat Intelligence provides analysis of a ClickFix campaign that uses fake CAPTCHA prompts, DLL sideloading, and a reverse tunnel, with detections and hunting guidance.

Data analysis rarely fails because someone cannot write a line of Python. More often, the real problem is the number of small ...

Hackers exploit exposed AI gateways and workflow tools to steal secrets, access corporate systems, and mine cryptocurrency.

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

Chad Schuster discusses bridging Python's developer velocity with C-like performance using Numba JIT and GPUs. Drawing from ...

LangGraph excels at complex, stateful agent workflows requiring control, checkpoints, and human-in-the-loop processes.OpenAI ...

AI is supposed to be the answer to this. But for many teams, the AI conversation stalls before it starts, because it gets ...

AI coding tools have evolved from autocomplete into agents that take a natural-language request, inspect a codebase, make ...

Security teams can review LabVIEW applications alongside C++, Python, Java, and web applications using a common set of ...

Rob Allen from ThreatLocker joins us to discuss securing agentic AI with zero-trust controls, least privilege, and access ...

In the small Nebraska village of Murdock, now-paused plans for two potential data centers have sparked the kinds of debates ...