The era of historical markups is over. In today's volatile market, margin protection requires moving beyond reactive ...

How Does Agentic AI Transform NHI Management? Are cybersecurity professionals fully leveraging Agentic AI for Non-Human Identities (NHIs) and Secrets Security Management? With technology advances, the ...

This year, the e-discovery landscape will likely be marked by the growing prominence of gen AI and court rulings paving the ...

Human Identities the Key to Unlocking Data Security with Agentic AI? Where data security is paramount, many organizations grapple with the potential vulnerabilities that Agentic AI might introduce if ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

In 2026, higher education law enforcement will prioritize belonging-driven policing, AI-enhanced security infrastructure, ...

For far too long, two specters have been haunting the world of artificial intelligence and warfare, and they both featured in ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...

True ROI for R&D won't come from the tool that generates 10,000 new ideas. It will come from the tool that confidently tells ...

In 2026, boards won’t ask if you use AI — they’ll ask if you truly understand, control, and can explain how it’s steering the ...

Researchers at Palo Alto, Calif.,-based Stanford Medicine have developed an AI model capable of predicting an individual’s risk of developing more than 100 health conditions using sleep study data.