Data backup strategy typically has been based on several criteria over the past decade or more. These include, among other things, the type of data to be saved and protected, its criticality to the ...

Production storage is increasingly reliable and resilient, but creating and maintaining a quality, independent copy of production data on a regular basis is more important than it has ever been.

Financial institutions rely on real-time loan DB systems to manage customer applications, approvals, payments, and credit evaluations instantly. These databases process high volumes of transactions ...

Travis Rosiek is the public sector CTO at Rubrik. DOD aims to protect its mission-critical systems and achieve its objectives with greater efficiency by following a comprehensive strategy centered ...

Businesses have always known the importance of keeping their data secure—whether it was carbon copying vital documents or getting fire-resistant filing cabinets, companies have a long history of ...

Opinions expressed by Entrepreneur contributors are their own. Traditional backup systems weren’t built for AI. They lack the flexibility to back up agent logic, learned behavior, prompt ...

The 3-2-1 backup rule has served as a cornerstone of data protection for decades, providing a simple yet effective framework that countless organizations have relied upon. As enterprise IT ...

The Zero Trust model has emerged as a game-changing approach to data backup and security. With the proliferation of cyberattacks in recent years, traditional security measures are no longer sufficient ...

Listen to the Computerworld TechCast: Storage Backup Strategies. Every IT manager knows the critical importance of regularly backing up computer systems and data… and of being able to restore any or ...

The International Energy Agency (IEA) notes that global data center electricity demand grew by 17 percent in 2025, while consumption from data centers serving AI applications grew 50 percent in the ...

Traditional backup systems weren’t built for AI. They lack the flexibility to back up agent logic, learned behavior, prompt configurations or embedded indexes. Agentic systems continuously accumulate ...