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PDF: The future of data privacy: Confidential Computing explained

PDF: The future of data privacy: Confidential Computing explained

Confidential Computing is redefining how sensitive data is handled in the cloud. This paper explains how it protects data while it’s in use, enabling secure collaboration between institutions without compromising confidentiality. Readers will learn how secure enclaves and Multi-Party Computation ...

persons working in pharma tech

Pharma tech: How technology is reshaping the pharmaceutical industry

A new type of medicine can save lives but getting it from lab to patient has never been more complex. Pharma tech is rewriting the rules of drug development, using tools like AI, blockchain, and secure computing to accelerate breakthroughs and streamline once-siloed processes.

person in healthcare taking data-driven decisions

Data driven decision making in healthcare: How analytics is transforming patient care

The healthcare industry generates a massive amount of data, from patient records and clinical trial results to administrative information and research findings.

person in front of laptop doing clinical research with secure data sharing

Revolutionizing clinical research with secure data sharing

The challenges of clinical research in a data-driven era: Imagine researchers from hospitals, pharmaceutical companies, and research centers joining forces on a global study for a rare disease. Each institution holds valuable patient data, representing critical pieces of the puzzle. Yet, sharing ...

Data breach originated from misconfiguration in internal IT platform

As digital systems in healthcare continue to handle more sensitive data, the need for strong security is more important than ever. While organizations work hard to balance access and security, challenges still pop up, reminding us that there's always room for improvement.

Okinawa Institute of Science and Technology (OIST) and Partisia Partnership

OIST and Partisia advance development of Privacy Enhancing Tech

Bridging the gap between research-driven cryptography and privacy through secure computations.