Artificial intelligence has become an ally in cybersecurity by 2025, with 60% of organizations reporting using it in their IT ...

Aaron Erickson at QCon AI NYC 2025 emphasized treating agentic AI as an engineering challenge, focusing on reliability ...

In engineering design, the traditional “deterministic” modelling approach assumes fixed values for loads, material properties ...

1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...

Even as they build out agentic tools themselves, leaders from the two companies say the capabilities aren’t quite there yet.

Large language AI models do not behave with consistency, which is harmless in some business contexts but dangerous in others.

For all the attention on AI-assisted development, from autocomplete tools to systems that generate entire repositories, the conversation remains focused on speed. Everyone is talking about faster ...

Explore how redefining AI agents through cognitive operating models enhances collaboration between humans and machines, ...

As AI agents take on real work, new rules for autonomy are emerging that favor reliability, clarity and human control.

Most organizations operate under a dangerous misconception that their data is safe with encryption at rest and in transit.

In this episode, Umesh Sachdev, Co-founder and CEO of Uniphore, breaks down the real-world playbook for building enterprise ...

Google Chrome is introducing a new security architecture designed to protect upcoming agentic AI browsing features powered by ...