October 2026 Summaries

The trial provides a guided hands-on use of the platform’s core capabilities, including sessions, workloads, approvals, and audit trails, rather than a presentation-only demonstration. It evaluates how technologies such as fully homomorphic encryption, federated learning, or confidential computing may fit a proposed collaboration use case, and offers a practical assessment of current deployment feasibility, operational requirements, and limitations.

Encrypted-query technology is presented as a way for security authorities to screen a flight’s passenger manifest against distributed intelligence databases and watchlists without exposing passenger identities, underlying watchlists, intelligence sources, or which agency produced a potential match. The approach contrasts with conventional methods that require agencies to share manifests, consolidate watchlists, or reveal investigative interests, each of which can disclose more information than necessary. Duality Secure Query is described as enabling authorized organizations to retain control of their data, infrastructure, and access policies while securely processing encrypted queries and returning only permitted screening results. A match remains an alert requiring human review rather than proof of a threat, and the same privacy-preserving model could apply to border security, sanctions screening, cross-border law enforcement, and defense collaboration.