DataBrushing.AI launches quantum-safe trust platform for AI-era evidence
DataBrushing.AI launched UEChain on Oct. 16 in Taipei, aiming to help enterprises and researchers verify who supplied data, whether it changed and whether its authenticity can be independently proven. The platform combines PKI, certificate authority controls and post-quantum options as AI, software supply chains and cross-institutional data sharing raise the stakes for trust.
Why it matters: - UEChain is built to turn data into verifiable evidence, not just encrypted storage. - The platform targets a key AI-era gap: encryption can protect data, but it does not prove provenance, integrity or authenticity. - The system is designed for enterprises and research institutions that need evidence preservation and cross-organization verification.
What happened: - DataBrushing.AI launched S.A.F.E.-AI Trusted Platform – UEChain on Oct. 16 in Taipei, Taiwan. - The company positioned UEChain around three questions: who provided the data, whether it was altered and whether authenticity can be independently verified. - The launch drew more than 20 representatives from industry associations, academic and research institutions, legal organizations and professional bodies. - DataBrushing.AI signed MOUs with the Artificial Intelligence Research Center at National Taiwan Ocean University, the School of Big Data Management at Soochow University, the Taiwan Cyber Security Alliance and the Research Center for Information Security at Asia University.
The details: - UEChain uses Public Key Infrastructure, a Certificate Authority and digital evidence chain technology. - The platform creates a cryptographic digest, digital signature and timestamp for each record without disclosing the original data. - UEChain uses X.509 digital certificates, public-key signatures and certificate-chain validation to bind evidence to verifiable identities. - The system checks chain of trust, validity period and revocation status. - UEChain relies on hardware security modules validated to FIPS 140-3 Level 3 for key management and signing operations. - The root key was activated in a Key Ceremony witnessed by an independent third party. - Key security management procedures follow applicable NIST SP 800-series guidance. - UEChain supports conventional, hybrid and post-quantum cryptography mechanisms. - The platform includes APIs and SDKs for cross-platform certificate verification and long-term evidence preservation. - Planned and cited use cases include cryptography, software and firmware bills of materials, ESG and carbon-inventory data, cross-domain research data and high-value technical data. - The official website is More information, and partnership inquiries go to official@databrushing.ai.
Between the lines: - DataBrushing.AI is signaling that trust infrastructure may become as important as encryption itself for AI, supply-chain and research data workflows. - The combination of PKI, third-party key activation and post-quantum support suggests a focus on long-term admissibility, auditability and resilience. - The MOUs point to a Taiwan-centered ecosystem push, with marine data sovereignty and AI-era cyber defense among the first priorities.
What's next: - UEChain is now open for organizational registration. - DataBrushing.AI is inviting enterprises, research institutions and other organizations to explore collaboration around evidence preservation and verification. - The company said the platform will continue expanding a digital trust ecosystem that is verifiable, auditable and continuously evolving.
The bottom line: - UEChain is a bid to make digital evidence independently trustworthy in an AI environment where data provenance matters as much as data security.
Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.
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