Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Creating DataTrails for Supply Chain Artifacts

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.

Customize your Access Policies with DataTrails

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.

What is Data Provenance?

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.

How Transparency Can Stop Invoice Fraud

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.

DataTrails: Sharing and Verifying Immutable Audit Trails

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.

Safeguard the authenticity of your Dropbox files with DataTrails

When you connect DataTrails to your Dropbox account we automatically create a small amount of additional metadata about your files each time they change, and record that information on an immutable ledger. Those files are now equipped with long-term integrity and the ability for anyone to instantly verify the provenance and authenticity of your digital content using our free no-need-to-sign-up tool, Instaproof. And best of all, you don’t need to change your workflows! You can continue to email your files around, or send them through your favorite transfer app, and wherever they end up their provenance will be verifiable.

Breakthrough fraud detection & content protection with watermarks + immutable audit trails

Unravel the truth behind every image with Digimarc and DataTrails. Our demo showcases our approach to exposing fakes and validating authentic images. Verifying the origin of an image is as easy as drag and drop. Witness the innovative combination of Digimarc's watermarking technology and DataTrails' immutable audit trails, which together offer a robust solution to the challenges of digital misinformation. This powerful collaboration ensures the integrity of images online, making it simpler than ever to distinguish genuine content from deceptive visuals.

Combat the Erosion of Trust in Digital Media w/ Jon Geater CPO/CTO at DataTrails

Trust in digital media is consequential — from the practical verification of the source of a news photograph to the less visible web infrastructure that impacts society and economies of scale. In this Community Showcase, we’re focusing on solutions that build transparency into our digital ecosystem. See Jon Geater's demo on maintaining the integrity of data across business and application boundaries with the DataTrails platform.

Bringing Immutable Audit Trails to Dropbox

In the age of Gen AI, it is now apparent that we can no longer trust what we see and read. The fakers have the upper hand: while typical security approaches rely on scaling up teams, attacks scale at the press of a button. To safely move forward and realize the benefits Gen AI enables, we need a better trust model that adds integrity, transparency and trust to all data and a common provenance format that captures origin, authenticity and lineage information. We must verify data before we use it.

Detect Fakes and Prevent Misuse: Digital Content Integrity, Authenticity & Transparency

As supply chains continue to evolve and new Al technology becomes part of every business, traditional trust systems that rely on human interactions to verify and validate data will struggle to keep pace. Digital supply chain practices from media through software to physical goods must adapt to this changing global technology landscape. The innovations unleashed in GenAI have made it apparent that we can no longer trust what we see and read; we must verify data before we use it.