October 2025 Summaries

AI innovation is increasingly becoming a legal and reputational challenge, particularly for Independent Software Vendors (ISVs) in sectors like healthcare, finance, HR, and insurance, where handling sensitive data is crucial yet fraught with regulatory complexities. The growing legal frameworks such as GDPR and the EU AI Act complicate data access, hindering ISVs from developing highly accurate and personalized models, often leading to "good enough" solutions due to data liability issues. However, privacy-enhancing technologies (PETs) like fully homomorphic encryption and federated learning offer a solution by allowing AI training on data without the data leaving its source, reducing legal risks and improving model accuracy with real data. This shift towards "privacy-first" AI not only meets increasing regulatory and market expectations but also transforms data privacy from a constraint to a competitive advantage, enabling ISVs to serve highly regulated markets, expand into new markets, and build trust by respecting data boundaries.

Gartner's report on the Top Strategic Technology Trends for 2026 highlights confidential computing as a crucial "Architect" technology, predicting that by 2029, over 75% of processing operations in untrusted infrastructure will be secured through this technology. Confidential computing, which utilizes hardware-based trusted execution environments (TEEs), is gaining prominence due to increasing privacy laws, complex data-transfer issues, and rising AI workloads. Major cloud providers like AWS, Azure, Google Cloud, and Oracle are deploying confidential compute services, though challenges remain in integrating TEEs across different platforms. Duality Technologies is positioned to enhance this landscape by enabling privacy-preserving analytics and AI on confidential infrastructure, facilitating secure collaboration without exposing sensitive data. By bridging the gaps identified by Gartner, Duality allows organizations across various sectors to conduct secure, collaborative analytics and AI operations, addressing compliance and security while avoiding vendor lock-in. As part of broader AI and digital trust trends, Duality's solutions empower industries like healthcare, finance, and government to utilize sensitive data collaboratively and securely, aligning with Gartner's vision of a future where confidential computing is ubiquitous.