Opinion: Jim Richberg, Fortinet's head of cyber policy and global field CISO, discusses why security and privacy risks may be advancing faster than AI governance and policy ...

Ransomware, email compromise and data incidents account for 92% of incident response cases, according to the 2026 Arctic Wolf ...

Palo Alto Networks warns that African organisations are facing AI-accelerated cyber threats as attacks speed up from days to ...

But the platform was built using a method called “ vibe coding ,” where AI actually creates the code with no manual input ...

Network modernization is critical for AI success. Managed services partnerships offer a flexible, cost-effective solution to ...

The region sold itself as a safe harbor for the world’s data. Amazon’s burning data center in the UAE has upended that pitch.

As businesses rely more on software to deliver products and services, it is vital to secure their applications against threats such as code injection, data breaches, and privilege escalation.

Vitalik Buterin says an AI-coded Ethereum roadmap prototype could inform blockchain developers on how to use the technology.

Katharine Jarmul keynotes on common myths around privacy and security in AI and explores what the realities are, covering design patterns that help build more secure, more private AI systems.

In a major shift in its hardware strategy, OpenAI launched GPT-5.3-Codex-Spark, its first production AI model deployed on ...

Despite software architecture relying on them, managing the API lifecycle creates governance risks for engineering teams.

Created for the Web back in the 1990s, Java has become increasingly important to create the latest AI functionalities, says Azul.