Integrated Quantum Technologies Launches VEIL on Snowflake AI Data Cloud

June 03, 2026
Integrated Quantum Technologies, doing business as Integrated Cyber Solutions, has launched its VEIL privacy-preserving framework on the Snowflake AI Data Cloud. The tool removes personally identifiable information from enterprise data before it enters machine learning pipelines, aiming to secure sensitive information against AI and quantum computing threats.

Integrated Cyber Solutions, doing business as Integrated Quantum Technologies, announced in a press release the launch of its VEIL platform on the Snowflake AI Data Cloud. The integration was introduced on June 3, 2026, during Snowflake Summit 26.

VEIL is designed to help enterprises protect sensitive data before it enters machine learning pipelines. The system removes personally identifiable information while maintaining the usefulness of the remaining data for training and running AI models. According to the company, this approach allows organizations to secure data without reducing model performance.

The platform addresses two key security risks: the use of AI to automate cyberattacks and the potential for future quantum computers to decrypt captured data. By removing sensitive identifiers up front, VEIL reduces the risk of both immediate breaches and future decryption threats.

VEIL is the first commercial product under the company’s AIQu platform, which focuses on privacy-preserving and resilient AI. Integrated Quantum Technologies also offers Managed Services and its SecureGuard360 monitoring platform as part of this broader framework.

We hope you enjoyed this article.

Consider subscribing to one of our newsletters like Enterprise AI Brief, Cybersecurity AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Subscribe to Cybersecurity AI Weekly

Weekly newsletter about AI in Cybersecurity.

Market report

2025 State of Data Security Report: Quantifying AI’s Impact on Data Risk

Varonis Systems, Inc.

The 2025 State of Data Security Report by Varonis analyzes the impact of AI on data security across 1,000 IT environments. It highlights critical vulnerabilities such as exposed sensitive cloud data, ghost users, and unsanctioned AI applications. The report emphasizes the need for robust data governance and security measures to mitigate AI-related risks.

Read more