Mr. Husam Fezzani reports

INTEGRATED QUANTUM TECHNOLOGIES ADVANCES ICA RESEARCH FOR IEEE SECURE AND TRUSTWORTHY MACHINE LEARNING CONFERENCE SUBMISSION

Integrated Quantum Technologies Inc. has updated its research paper on Informationally Compressive Anonymization in preparation for submission to the 2027 IEEE Conference on Secure and Trustworthy Machine Learning.

IEEE SaTML is an academic conference focused on advancing theoretical and practical research in secure and trustworthy machine learning. Areas of interest identified by the conference include privacy in machine learning, machine learning system security, secure and safe machine learning in practice, and trustworthy data curation.

The updated paper further develops the technical presentation of ICA, the methodology underlying Integrated Quantum's VEIL technology. ICA is designed to transform source data into compressed representations that preserve information relevant to downstream machine learning tasks while reducing access to the original information.

The company initially published its ICA research as a white paper earlier in 2026. The updated version has been prepared to address the format and research requirements associated with academic peer review and submission to SaTML.

Jeremy Samuelson, chief technology officer of Integrated Quantum Technologies, commented: "Since publishing our initial work on ICA, we have continued to develop both the methodology and the technical evidence supporting it. Preparing the research for submission to SaTML provides an opportunity to present the work within an academic forum specifically focused on security, privacy and trustworthiness in machine learning."

The 2027 IEEE Conference on Secure and Trustworthy Machine Learning is scheduled to take place in Reykjavik, Iceland, in early May, 2027. Research-paper submissions are subject to the conference's review process, and submission does not imply acceptance, endorsement or validation by IEEE or the conference organizers. Accepted papers are scheduled for publication in the IEEE Computer Society Digital Library, subject to the conference's requirements.

Integrated Quantum intends to continue pursuing independent technical review and academic engagement as part of its broader research and development activities surrounding VEIL and privacy-preserving AI infrastructure.

About Integrated Quantum Technologies Inc.

Integrated Quantum is an enterprise artificial intelligence infrastructure company developing technologies designed to enable organizations to use sensitive data with artificial intelligence while reducing exposure of the underlying information. The company's primary commercial product, VEIL (Vector-Encoded Information Layer), is a privacy-preserving technology designed to protect sensitive information across artificial intelligence and machine learning environments. Integrated Quantum's portfolio also includes SecureGuard360, its cybersecurity platform providing security and monitoring capabilities for enterprise environments. Integrated Quantum's broader strategy is focused on building Trust Infrastructure for Enterprise AI at the convergence of artificial intelligence, cybersecurity, enterprise data infrastructure and quantum resilience.

We seek Safe Harbor.