SAN JOSE, Calif.--(BUSINESS WIRE)--NetApp® (NASDAQ: NTAP), the intelligent data infrastructure company, today announced enhancements to its portfolio of cyber resiliency offerings to strengthen ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now When it comes to data, sharing is not ...

As cloud computing becomes more common, businesses have had to contend with the challenge of protecting sensitive data during processing. Confidential computing addresses this by keeping data in use ...

Security practices are evolving to meet sharing data across siloed engineering teams, but they still have a long way to go. New approaches and standards are being developed to securely share ...

Collecting customer data can help companies improve their products and services. However, these days customers are increasingly wary about trusting businesses with their personal data. Stories of ...

A new artificial intelligence (AI) data security guidance encourages organizations to secure the data used by AI applications — an important consideration as AI use skyrockets while security lags ...

Data management is the process businesses use to gather, store, access and secure data from various platforms. Managing this information properly helps organizations utilize data analytics to gain ...

Mobile devices sometimes get lost. A laptop bag gets left on the bus or train, a smartphone slips out of your pocket, or a USB flash drive falls to the ground unnoticed. Losing a notebook or phone ...

As remote and hybrid work arrangements grow in popularity, information technology (IT) teams must be able to access desktops remotely. This way, they can view or change files, fix technical issues, or ...

Traditional and cloud fax are secure, reliable channels for communication. The hospitals and banks that rely on fax aren't just winging it. When done right, faxing is a very secure means of ...

GWAS aim to identify genetic variants that are statistically correlated with phenotypes of interest (e.g., disease). Analyzing large numbers of individuals is critical for detecting weak, yet ...