Integrated Quantum Reports Successful Completion of Global VEIL(TM) Security Challenge
Key Highlights
- No participant successfully reconstructed the original data, resulting in the Grand Prize remaining unclaimed and providing further validation of VEIL™'s non-invertible encoding architecture.
- Global data scientists and AI researchers tested VEIL™ through the Company's public Kaggle challenge, helping independently evaluate the technology's security properties.
- Competition results extended the Company's validation work, with participant research further strengthening evidence supporting VEIL™'s privacy-preserving design.
Vancouver, British Columbia--(Newsfile Corp. - July 23, 2026) - Integrated Cyber Solutions Inc. (CSE: ICS) (OTCQB: IGCRF) (FSE: Y4G), doing business as Integrated Quantum Technologies ("Integrated Quantum", "IQT", or the "Company"), a developer of quantum-resilient, privacy-preserving AI infrastructure, is pleased to announce the successful completion of its global "Pierce the VEIL™" Kaggle Challenge, an open security competition designed to evaluate the non-invertibility of the Company's proprietary VEIL™ (Vector-Encoded Information Layer) technology.
Hosted on Kaggle, one of the world's largest data science and machine learning competition platforms, the challenge invited researchers, AI practitioners and data scientists from around the world to attempt to reconstruct original data from VEIL™-encoded representations. The competition was designed to provide an independent evaluation of one of VEIL™'s core security properties: that encoded data cannot be reconstructed back into its original sensitive form.
Upon completion of the competition, no participant successfully met the criteria required to claim the Grand Prize, with no successful reconstruction of the original underlying data. The Company reviewed 43 full-reconstruction submissions. While the valid executable submissions produced finite numeric outputs, none satisfied the structural validation requirements necessary for full reconstruction. In particular, no submission successfully recovered the hidden source dimensionality and row-aligned source matrix required to advance through the subsequent reconstruction accuracy, baseline, dependence, generalization, and code review stages.

