Media Authenticity & Auditability
Transparency, Governance, Compliance, & Data Protection
Authenticating content requires transparent metadata including timestamps, identity, and fingerprints, on an immutable ledger ensuring data lineage that empowers users to assess its safety and trustworthiness.
Restore Trust in Digital Media
Trust in digital media is eroding as fraud, theft, and misattribution threaten content integrity, fueling confusion and distrust. Existing tools are inadequate to meet the threat.

DLT platform
Audit Trails
Simple API
Tamper-Evident
Responsible Tech, For Responsible Organizations
A Revolutionary Digital Ledger Technology Platform for Tamper-Proof Content Verification
DataTrails API-first solution provides a trust & visibility layer to support trustworthy data distribution & resolve contested scenarios. DataTrails tracks the provenance of data in a tamper-evident ledger to detect fake data & prove authenticity. Fine-grained attribute based access controls ensure the right data gets to the right place. Configurable compliance policies monitor data changes enabling realtime alerts. Supporting IETF SCITT standards, DataTrails makes it easy to integrate with apps that rely on safe, secure & trustworthy data.
Top 3 Benefits

Durable Media Provenance
Metadata & Fingerprints that prove content authenticity.
Long-Term Confidence
Artifacts are signed and notarized with immutable receipts.
Simple API Integration
Standards-based methods to verify and validate any content.
White Paper Download
Deploying Artificial Intelligence Responsibly
AI adoption and digital transformation are driving forces in modern business. However, with this promise comes the responsibility to ensure that AI is trustworthy, transparent, and aligned with the goals of the businesses. DataTrails addresses this challenge head-on by providing a platform that facilitates both trustworthy multi-party data exchange and provides auditability and explainability. In this paper, we’ll explore how DataTrails’ provenance management platform plays a central role in achieving Responsible AI.