Leading Experts in Intelligence, Cybersecurity, and Digital Policy Join Forces to Support Duality’s Mission At Duality Technologies, our mission is to enable secure collaboration on sensitive data. As a pioneer in privacy-preserving technologies for secure data collaboration, Duality provides a groundbreaking platform for secure collaboration in AI, data science, and analytics. In today’s data-driven world,…

By leveraging real-world evidence (RWE), healthcare providers can deliver value-based care that is both patient-centric and cost-effective. What is value-based care? Value-based care is a healthcare approach that prioritizes better patient outcomes and lower costs. Unlike traditional fee-for-service models that reward the volume of services, value-based care ties compensation to the quality of care provided….

To train a piece of artificial intelligence (AI) is nothing short of an art. It’s a process that involves precise calibrations, scientific understanding, and endless iterations. Generative models are a category of AI that can generate new data from the same statistical distributions as the training data. Such models are often used to produce synthetic…

Data is powerful—when it’s connected. Yet, for many organizations, valuable insights remain locked away in isolated systems, out of reach, and underutilized. This is where data interoperability comes in. Data interoperability is the ability to exchange, interpret, and use information across platforms without hitting roadblocks. With data interoperability, different sources of data can ‘talk to…

The National Institute of Standards and Technology (NIST) recently released updated guidance on “Safe, Secure, and Trustworthy AI,” and we’re excited to share how Duality’s Confidential AI solution aligns with these requirements. One key criterion NIST emphasizes for trustworthy AI is that it must be “Privacy Enhanced.” This implies that AI ecosystems need to incorporate…

What is Encrypted Healthcare and Why Does it Matter? In healthcare, data is like gold—valuable but vulnerable. Every time a healthcare provider checks a patient’s records or a healthcare institution collaborates on research, they’re holding something precious. But, without protection, that precious health information is exposed to risks. Enter encrypted healthcare: it’s like placing all…

How can generative AI be used in cybersecurity? Generative AI makes cyber security professionals better by automating the work required to do the job effectively. Such benefits range from collectives like industry specific ISACs to internal teams for improved onboarding, proactive threat detection, automated vulnerability assessments, and streamlined incident response. Generative AI also helps reduce…

With the rapid growth in data generation and collection, businesses have realized the need for better data management to make the most of their information. However, traditional methods of managing data are no longer enough to keep up with the growing amount of enterprise data. The need to acquire and process data from disparate systems…

As the insurance industry continues to adopt big data, the innovation potential is growing exponentially.  From improving risk assessments to detecting fraud, big data is reshaping how insurers do their job. However, with these advancements come significant challenges—particularly around data privacy, security, and ethical concerns. With insurance businesses holding large amounts of sensitive customer information,…