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AI Without 
Transparent Audit Trails Can’t Be Trusted

Responsible AI

Transparency, Governance, Compliance, & Data Protection

AI requires traceability and explainability. Let DataTrails help with responsible practices through transparency and auditability. Delight users with proof and evidence that can be independently verified that AI systems are fit for use and safe to operate.

Responsible AI Requires Transparency & Accountability

AI adoption offers unprecedented opportunities for growth and efficiency. However, businesses struggle to fully embrace AI due to two major hurdles: proving AI-driven systems are fit-for-use; and verifying that AI actions conform to continuous compliance and audit process.

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Transparency

Data integrity

Compliance

Trust

DataTrails: Providing AI Transparency & Trust

Ensuring Data Integrity & Transparency in AI

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

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AI Integrity

Enhance AI model integrity by enabling developers to trace and authenticate the origin lineage of training datasets, real-time inputs, and model outputs thereby ensuring high data quality and reducing biases.

Confidence

Boost stakeholder confidence by providing a transparent audit trail of AI decisions, enabling anyone you choose to verify and understand decision-making processes.

Accountability

Ensure compliance by leveraging DataTrails to document and verify mutually accountable records.

DataTrails Authenticated Provenance

Create

Immutable, tamper-evident data trails

Who did what when

Events & attributes

Collaborate & Share

Share public or private metadata & files

Attribute & organization access controls 

OIDC-based

Store

Record provenance metadata & evidence

Integrate with content anywhere

Connectors (e.g., Dropbox) & SDK

Compliance

User-definable policies

Detect & notify

Anomalous events

Verify

Instaproof – instantly check provenance

Verify lineage & history

Validate ledger integrity

Search

Create reports

Query assets & events

Query specific attributes including time, fingerprints, and custom metadata

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.

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