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.

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.

Software development is not slowing down and neither are the demands for new features. In order to keep up with the needs of the market and tight deadlines, software engineers have become adept at leveraging the massive ecosystem of 3rd party libraries available in source code management repositories such as GitHub. After all, why build something yourself and waste precious time when you can use what someone else has already created?.

DataTrails enables compliance and audit teams to eliminate the time-wasting and error-prone processes with our new solution. With the introduction of our Dropbox connector, there is a no-code solution that provides notarized evidence of your file’s metadata. Now you can capture legally admissible proof for your business with just a few clicks. To get started, set-up a free DataTrails account and connect it to Dropbox by following these instructions.

We’ve listened, we’ve learned, and the market has definitely spoken! Our old name just wasn’t working: it was hard to pronounce, hard to spell, and hard to understand what we do. Even if the ‘archivist’ leap was made it didn’t carry our special mission with it.

One of my favourite tools for playing with REST APIs is, of course, Postman. It can make interacting with DataTrails super quick and easy, and help you develop custom workflows for storing and validating your digital provenance and audit trails. Here’s a step-by-step guide to getting a robust Postman set-up configured, and if you head over the Postman public collections you’ll find a link to a pre-baked DataTrails Postman collection with this done for you, along with some example requests.

Whether internally developed or purchased, your applications can be exposed to a host of vulnerabilities, especially via open source components that are widely used in today’s software. A recent survey found that 60% of data breach victims were compromised due to a known but unpatched vulnerability. Effective prevention and risk management requires being able to understand the vulnerability risk profile for each component of your Software Supply Chain.

In an increasingly interconnected world, the Internet of Things (IoT) has become a significant driver of innovation across various industries. Healthcare institutions were early adopters of IoT technology, leveraging it to improve patient care, streamline operations, and enhance data management. However, this surge in IoT adoption brings with it new challenges, one of which is the need for more transparency and security in the supply chain of connected medical devices.