DataTrails

DataTrails offers a provenance API that provides tamper-evident and transparent audit trails, so users can ensure the integrity and authenticity of digital content and data. The technology is designed to meet the increasing demands for responsible AI, media authenticity and supply chain transparency.

DataTrails is designed to address three key use cases:

• Responsible AI: Explainability and transparency of AI models through the identification of training datasets, legitimate use, and tracking of outputs with verifiable metadata.
• Media Authenticity & Auditability: Validation of digital content through immutable metadata to prevent fraud and misattribution. This includes cryptographic hashes and metadata to validate assets.
• Chain of Custody: Supply chain visibility through verifiable, chronological sequences of activities persisted to an immutable ledger. This aligns with IETF SCITT standards for secure and trusted data exchange.

DataTrails achieves this through its patented transparency technology, which offers a range of benefits including:

• Immutable Audit Trails: Tamper-evident records that ensure data integrity.
• Verifiable Provenance: Instantly validate content with cryptographic hashes and metadata.
• Compliance and Accountability: Meet regulatory requirements and ensure responsible data handling practices.

The platform provides an easy-to-use interface for tracking and managing data trails, making it accessible to developers and non-technical users. API integrations enable easy connections to a wide range of applications, and a REST API makes it easy to configure and customize.

Pricing is flexible, with a 30-day free trial that includes full API access and control. After the trial ends, users can choose a Verify Only account with read-only access or upgrade to a paid Full Account subscription. Enterprise-grade security policies and single sign-on are available for full account subscribers.

DataTrails is designed for organizations that want transparency, accountability and trust in their data and AI practices, and it can be used in industries such as media, supply chain management and AI development.

Published on June 13, 2024