Mr. Alan Guibord reports

INTEGRATED QUANTUM TECHNOLOGIES (DBA) FILES PROVISIONAL PATENT FOR POST-QUANTUM AI INFRASTRUCTURE PLATFORM, AIQU

Integrated Cyber Solutions Inc., doing business as Integrated Quantum Technologies (IQT), has filed a provisional patent application with the U.S. Patent and Trademark Office for its proprietary AI (artificial intelligence) and machine learning infrastructure, which will underscore the development of AIQu (pronounced IQ), the company's core postquantum AI product platform.

Highlights:

• Integrated Quantum Technologies has filed a provisional U.S. patent covering its privacy-preserving AI and machine learning infrastructure, establishing an early and defensible position in postquantum AI systems.
• The patent supports AIQu, a postquantum AI infrastructure platform, designed to secure, govern and scale artificial intelligence end to end while addressing quantum-era threats, compute efficiency and global deployment complexity.
• AIQu VEIL, the first product within the AIQu platform, delivers privacy-preserving AI infrastructure, protecting sensitive data across the entire enterprise AI and machine learning pipeline.

The provisional patent filing includes 30 claims related to IQT's proprietary AI and machine learning infrastructure, which leans on its novel approach to privacy-preserving AI and machine learning. This framework is designed to protect sensitive data throughout the AI life cycle and enables organizations to train and operate AI systems without exposing raw or sensitive data, and avoid trade-offs related to performance, accuracy and computing that limit current privacy-preserving solutions.

The filing marks an important milestone for Integrated Quantum Technologies, reflecting the company's commitment and continuing work in privacy-preserving AI and postquantum infrastructure.

"Recent events continue to show that enterprises face significant challenges in protecting sensitive data, ensuring AI model reliability and managing increasing compute demands," said Alan Guibord, chief executive officer and chairman of Integrated Quantum Technologies. "AIQu and VEIL address these issues at the infrastructure level, offering organizations a secure, scalable and efficient foundation for deploying AI within their operations.

AIQu: a postquantum AI infrastructure platform

AIQu reflects "artificial intelligence for a quantum world" and serves as Integrated Quantum Technologies' core platform for all current and future offerings in postquantum AI infrastructure solutions.

The platform is designed to secure AI systems end to end, strengthen model integrity, reduce compute requirements through next-generation compression and simplify governance for global AI deployment. AIQu addresses critical challenges facing AI adoption today, including postquantum security threats, growing compute demands, data authenticity, model reliability and enterprise-wide compliance.

AIQu VEIL: enterprise-grade privacy-preserving AI

AIQu VEIL, short for vector-encoded information layer, is the first commercial product within the AIQu platform. VEIL addresses a fundamental vulnerability in today's AI ecosystems: the reliance on sensitive data throughout the machine learning life cycle.

By eliminating the need to ingest, store or process sensitive information in its original form, VEIL delivers privacy-preserving AI infrastructure that protects data across the entire enterprise AI and ML pipeline, reducing regulatory, security and operational risks.

About Integrated Cyber Solutions Inc., doing business as Integrated Quantum Technologies (IQT)

Integrated Quantum Technologies is building quantum-ready infrastructure to help secure and scale artificial intelligence. The company's AIQu platform underpins its product strategy for privacy-preserving and resilient AI systems, and VEIL is its first product, designed to protect sensitive AI data and workflows in enterprise environments. IQT's proprietary technologies address the threats of emerging postquantum security risks, increasing compute demands and the complexity of deploying AI at scale.

We seek Safe Harbor.