July 2025 Summaries

Duality Technologies has appointed Sir Jeremy Fleming, former Director of the UK's Government Communications Headquarters (GCHQ), to its Public Sector Advisory Board, marking a pivotal development in the company's efforts to enhance privacy-preserving AI collaboration for the public sector and beyond. Known for his expertise in intelligence and cybersecurity, Fleming's extensive experience, including leadership roles at MI5 and GCHQ, positions him as a valuable asset in advancing Privacy-Enhancing Technologies (PETs) to address data access, security, and compliance challenges globally. His insights are expected to further Duality's mission to enable encrypted AI and analytics on sensitive data without exposing underlying information, thereby transforming government and enterprise collaboration across borders. Duality's CEO, Alon Kaufman, emphasized that Fleming's vision aligns with the company's values and goals, particularly in the face of increasing demand for secure AI solutions. Fleming's appointment is part of a broader strategy involving distinguished U.S. and U.K. leaders to bolster Duality's role as a trusted partner in secure, compliant AI and data collaboration.

Duality Technologies has introduced the Duality Assistant Agent, a groundbreaking AI framework that enhances secure collaborative research by acting as an intelligent research partner. These AI-driven agents understand unique research environments and leverage privacy-preserving technologies to protect sensitive data while providing intuitive insights through a chat-like interface. This approach allows researchers to conduct deep analyses, automate report generation, and uncover hidden data patterns without compromising data security. The system's architecture includes the AI agent, Duality MCP Server, and Duality Platform, which work together to enforce strict privacy measures, including homomorphic encryption and differential privacy, ensuring that only privacy-preserving results are shared. Duality Agents facilitate complex research by enabling AI-driven support across organizational boundaries, maintaining data confidentiality, and integrating large language models (LLMs) for enhanced analysis capabilities without exposing sensitive data.