Data security is becoming a bigger concern as chips are disaggregated into chiplets and various third-party IP blocks. There is no single solution that works for all designs, and no single tool or ...

Protecting data at the source in the security industry is more challenging than it sounds. The source is ever-changing depending on the context of the data. For example, a security camera on the ...

Sensitive data is a part of every large organization’s normal business practice. Allowing sensitive data from production applications to be copied and used for development and testing environments ...

AI has permeated virtually every aspect of our digital lives, from personalized recommendations on streaming platforms to advanced medical diagnostics. Behind the scenes of this AI revolution lies the ...

Cybersecurity is entering a decisive phase. In 2026, the most dangerous threats will no longer be slow, manual, or purely human-directed. They will be autonomous, adaptive, and capable of operating at ...

Coupled with the incredible pace of growth in quantum computing are challenges pertaining to federal, enterprise, and personal data security. Transitioning from classical to quantum computers is a ...

SYDNEY, Feb. 25, 2025 (GLOBE NEWSWIRE) -- Varonis Systems, Inc. (VRNS) (Nasdaq: VRNS), a leader in data security, today announced its full schedule as a Premier Exhibitor at the Gartner Security & ...

How do you offer a trusted environment for hosting applications and data in the public cloud? It is an area Google’s Nelly Porter is very much focused on. Porter is a director of product management at ...

Workday’s platform, re-engineered for resiliency, performance, and security, leverages cloud-first approaches and Kubernetes for automated provisioning and scale-out recovery. Key security features ...

Artificial intelligence has moved from experimentation to execution. Across industries, AI models, copilots, and autonomous agents are now embedded in everyday business operations, shaping decisions, ...

The world of enterprise data is evolving at an incredible pace, and businesses are grappling with increasingly complex data landscapes. This demands more from their database systems than ever before.