Confidently scale AI initiatives with irrefutable proof of ethical data practices and compliant AI operations.
In today’s rapidly evolving digital landscape, the intersection of data provenance and AI governance has become mission-critical for businesses. As AI continues to shape industries – from healthcare and finance to media and technology – the need for verifiable data integrity and responsible AI oversight has never been more urgent.
That’s why we’re excited to announce the partnership between DataTrails, a next-gen Provenance Management Platform built on patented distributed ledger technology (DLT), and Daiki, an advanced AI governance platform dedicated to ensuring ethical, compliant, and transparent AI operations. With 67% of enterprises delaying AI adoption due to trust concerns (Forrester 2024), this partnership creates a comprehensive trust framework for AI-driven enterprises.
As Rusty Cumpston, CEO of DataTrails, explains,” By combining our strengths, DataTrails’ Provenance Management Platform and Daiki’s AI Governance Platform help organizations meet stringent global regulations like the EU AI Act by ensuring both data integrity and responsible AI outputs are auditable and transparent.”
Why This Partnership Matters
The rise of deepfake technologies, AI-generated misinformation, and data manipulation has fundamentally reshaped the risk landscape. At the same time, regulatory bodies worldwide are introducing stringent laws like the EU AI Act and expanding data privacy frameworks. Organizations must now ensure that AI systems are governed responsibly, ethically, and in compliance with global regulations. The DataTrails-Daiki partnership bridges the gap between data provenance and AI governance to create a unified, future-proof solution.
“As an AI governance platform committed to helping companies responsibly deploy AI, we are excited to join forces with DataTrails. By leveraging their state-of-the-art audit trail technology, we ensure that our customers can demonstrate and prove the trustworthiness of their AI systems and models. Transparency will only become more critical as companies increasingly adopt AI, and this collaboration strengthens our commitment to security and accountability.” – Kevin Michael Gibney, CEO of Daiki
A Future-Proof Approach to AI Trust & Governance
A comprehensive approach to AI governance and trust for DataTrails and Daiki involves integrating their respective strengths to create a future-proof framework that ensures ethical, transparent, and accountable AI systems.
Data Integrity and Provenance with DataTrails
DataTrails provides organizations with the tools to track and verify the authenticity of digital content through:
- Patented Tamper-Proof Distributed Ledger Technology: Ensuring that content remains trustworthy throughout its lifecycle.
- Immutable Metadata Audit Trails: Securing data lineage with cryptographic proofs, DataTrails ensures that all data used in AI systems is traceable, tamper-proof, and verifiably authentic. This provides a clear record of who did what when, fostering trust in the data’s origins and transformations.
- Instaproof: A service that allows anonymous access to the audit trail of a file, providing data provenance and authenticity through a simple drag-and-drop interface.
Ethical AI Oversight with Daiki
Daiki’s AI Governance Platform ensures that AI systems are not just technically robust but also ethically sound and legally compliant by offering:
- Automated Risk Monitoring: Continuous oversight of AI models to detect and mitigate risks in real time.
- Step-by-Step Guidance: The Daiki AI Assistant provides proactive, context-sensitive assistance, guiding users and automating documentation.
- Regulatory Compliance Tools: Simplifying adherence to frameworks like the EU AI Act and standards like ISO 13485, ISO 42001, and ISO 27001.
- AI Accountability Frameworks: Enabling organizations to maintain transparency and control over AI-driven decisions.
With Daiki, businesses gain peace of mind knowing their AI isn’t just operational – it’s responsible.
The Value for Business
By combining DataTrails’ audit trail and transparency capabilities with Daiki’s AI governance expertise, we are offering organizations a powerful suite of benefits:
- End-to-End Trust: From the data source to AI output, every step is secure, verifiable, and compliant.
- Regulatory Readiness: Meet global compliance demands with audit-ready documentation and automated governance tools.
- Operational Efficiency: Reduce the burden of manual oversight with integrated solutions that scale with your business.
- Risk Mitigation: By ensuring both data integrity and ethical AI practices, the solution significantly reduces legal, financial, and reputational risks associated with AI deployment.
Looking Ahead
As AI adoption continues to accelerate, the need for robust governance and data integrity solutions becomes increasingly critical. The DataTrails-Daiki partnership is poised to address this need, providing organizations with the tools they need to build trust in their AI systems.
“This collaboration represents a significant step forward in creating a more transparent and accountable AI ecosystem,” says Reinhard Munz, CTO of Daiki. “We’re excited to work with DataTrails to set new standards for AI governance and data integrity. Together we can look forward to a future where innovation and accountability go hand in hand.”
Learn more about Daiki at https://dai.ki/
