Enterprise IT is undergoing a foundational transformation. The age of passive automation, scripts triggered by humans and bots that follow fixed logic, is giving way to something far more profound.

As applicants use AI to quickly create job-specific resumes, some companies are shifting focus to skills assessments, portfolios, and real-world tasks.

Sensitive data is everywhere and growing fast. A new report from Concentric AI highlights how unstructured data, duplicate files, and risky sharing practices are creating serious problems for security teams.

This collection of data storage terms covers newer technologies, such as blockchain storage, and legacy tech, including network-attached storage and tape drives.

Techs discussed at the Future of Memory and Storage event included high-capacity and high-performance SSDs, all against the backdrop of AI. Explore expert analysis from the show.

Update on-premises infrastructure, refine DLM strategies, employ data reduction techniques and continuously monitor storage systems to improve storage efficiency.

AI projects often fail to scale due to poor data quality and siloed pipelines. Learn how DataOps provides the governance, automation, and real-time capabilities needed to deliver reliable AI at enterprise scale.

Understanding LLMs and SLMs: Key Differences and Features Explained in 2025

The adoption of AI in enterprises is accelerating steeply, and it's hitting a critical inflection point, says Sunil Agrawal, Chief Information Security Officer at the platform Glean.

Cybersecurity AI (CAI) is an open-source framework that helps security teams build and run AI-driven tools for offensive and defensive tasks.

Enterprise security teams are underprepared to detect new, adaptive AI-powered threats. The study, published by Lenovo, surveyed 600 IT leaders across major markets and shows widespread concern about external and internal risks, along with low confidence in current defenses.

AI that doesn't just follow instructions but figures out how to get things done -- that's the promise of agentic AI, an emerging approach that's already changing some sectors.

Choosing which AI hardware option makes more sense for an AI or machine learning project depends on multiple factors, including speed, memory and cost.

Zero Trust could help organizations fight back against attackers who use artificial intelligence, but new threats will require the architecture to evolve.

In early September, Palo Alto Networks publicly acknowledged that Secure Web Gateways (SWGs) are architecturally unable to defend against Last Mile Reassembly attacks.

When most people think about cybersecurity, they picture hackers in hoodies breaking through firewalls from some remote location.

In early 2024, the BlackCat ransomware attack against Change Healthcare caused massive disruption across the U.S. healthcare sector. It later emerged that the cause of this major national incident was traced back to compromised credentials used to remotely access a Change Healthcare Citrix portal. Access to the portal wasn't secured with multi-factor authentication (MFA).

Distributed denial-of-service (DDoS) attacks remain one of the most common and disruptive forms of cybercrime. Defenders have traditionally focused on detecting these attacks once they are underway.