Too many AST tools create noise for security and dev teams. Learn why automation is key to finding and fixing what’s important.The post Overcome AST noise to find and fix software vulnerabilities ...

By integrating advanced safety systems and continuously refining related protocols, companies can prioritize the safety of ...

AI doesn't need an introduction on the transformative changes it has brought across numerous industries. AI in product ...

The payment company says machine learning is making progress in fighting card testing, which crooks use to determine how ripe ...

The next Appetite for Engineering Conference is due to take place at the Manufacturing Technology Centre (MTC) on 20th March ...

Interactive Voice Response (IVR) systems are deployed at call centers worldwide to automatically interface with customers without the need for a dedicated call receptionist. GL’s tools have been ...

Looking ahead, 2025 will mark a turning point where organizations move beyond the initial excitement of AI adoption to focus ...

In the world of networking and IT, Cisco stands as a global leader in providing networking solutions. For network ...

Schäfer calls the talent pool of Shanghai "best in class," saying that "you're in the middle of everything, and you feel every time the beat drops, and that's so important," admitting that it's hard ...

Transform resolutions into achievements with ChatGPT’s personalized New Year plans, time management, and motivational tools.

As automation continues to reshape industries globally, demand for specialized expertise in semiconductors, IoT, and robotics is growing exponentially.

From scaling AI agents to evals, to inference reasoning, optimizing costs, and personalization, here are the five critical areas enterprises should prioritize for their AI strategy this year.