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.

DataTrails is excited to announce that it has achieved SOC 2 compliance, demonstrating our commitment to the highest standards of data security and privacy. This achievement underscores our dedication to providing robust solutions for media authenticity and digital trust, ensuring that our customers can rely on us to protect their data and uphold the integrity of their digital assets.

To set up the “surprise”, let’s start with a trick question: How many roots do I need in my life?

In a time when everything said, whether factual, fake, or AI-created, may be recorded and posted on the internet, it’s more important than ever to ensure that what was recorded accurately represents a point in time. When someone claims you said, “I was Smoking on a flight, watching Star Wars, the best special effects movie of all time,” was that a false claim? Did they include the date and the context?

And we never were. From the very beginning, DataTrails has been committed to bringing the power of transparency and trust technologies to regular enterprises, making very new and complex technology accessible to those who need it most: the existing industries and companies who run our world.

In a world where software is produced, distributed, and re-distributed, how do you ensure the software you consume is authentic and safe for your environment? How do you know the software you deployed yesterday is safe today? Most software exploits are discovered after the software has been deployed, which raises the question: It’s not just about getting software updates, as the majority of exploits are distributed as updates. Staying updated isn’t the most secure.

Signing up with DataTrails comes with the ability to share your audit trails with your business partners, other applications, and your internal team. Access policies control users, apps & organizations’ read & write privileges to provenance data in DataTrails. If you’re using an integration, access policies offer a way to fine-tune these integrations, giving specific permissions to add to and read your records.

Data provenance is a technology field that aims to help businesses increase trust through transparency of data, specifically by tracking the origin, change, and history of data and making it verifiable. Recently, the benefits of data provenance have become more important than ever. With the emergence of generative AI, all it takes are a few button clicks for anyone to create or manipulate data and convince others that fake data is trustworthy and real.

The average cost of invoice fraud to middle-market businesses is almost $280,000 per year. Invoice fraud affects businesses of all sizes, and the levels of fraud have increased in part because it’s not possible to authenticate all invoices that come in manually, with many businesses paying out invoices without authentication if they’re under a certain amount. Today’s information security rules and regulations can’t keep up.

To share an immutable audit trail, you can do this with a link or a QR code that is automatically created when provenance and authenticity metadata is recorded in your DataTrails account. After you sign in to your DataTrails account on your smartphone, Anyone can use Instaproof or the DataTrails API to verify the authenticity, provenance and audit trails of public images.