Operational penetration testing is a process of simulating real-world attacks on OT systems to identify vulnerabilities before cybercriminals can exploit them, either physically or remotely. OT ...

OpenAI introduces GPT-5.4 with stronger reasoning, coding and computer-use capabilities, aimed at improving enterprise ...

TestSprite 2.1 embeds agentic testing into every pull request, catching what AI coding tools miss before bad code ships to ...

Cybersecurity in 2026 looks very different from what it did only a few years ago. Attack surfaces are larger. Cloud environments are more complex. Applications update constantly. APIs, container ...

Overview Packetlabs uses penetration testing and adversary simulations to identify security weaknesses before hackers can exploit them.Talentica Software combin ...

Tools designed to verify and monitor physical AI systems offer value, but human oversight is needed to prevent accidents and unexpected behavior.

Using your own tools builds trust, improves quality, accelerates innovation, and protects customers from failure.

Overview: Modern Large Language Models are faster and more efficient thanks to open-source innovation.GitHub repositories remain the main hub for building, test ...

This article explains the real business impact, from faster experimentation and better decision-making and responsibilities, guardrails, and roles for engineering teams.

At the start of February, OpenAI upgraded its Codex coding app to give it the ability to manage multiple AI agents. At the ...

Xcelerate 2026 brings together innovation and impact through hands-on trainings, expert key notes and networking sessions.

You have to go through emulation, attacking, and really testing every single controls that you're putting into place," said Bri Frost.