Our CEO Jonathan Cran recently joined Daniel Miessler on Unsupervised Learning for a full, unscripted walkthrough of Mallory. The conversation covered everything from the origin story and a live platform demo to a forward-looking discussion on what it actually takes to build AI-Native security products.
Jonathan walked through how Mallory tracks actively discussed events in the threat landscape, resolves entities across dozens of aliases, and connects everything back to source evidence. Daniel called out the entity resolution in particular, noting that the platform assembles the kind of context that would normally take hours of manual blog research. From there, the demo moved into the "are we affected?" workflow, agent-driven investigation, scheduled monitoring, and the API that Daniel plans to integrate directly into his own Claude Code setup.
The two also got into what it takes to build AI-Native. As Daniel put it: "To an untrained person, you'd think you got to 90% of Mallory in four hours. But then they try to run it in production... and they realize it's 99% engineering on the backend." Worth a watch if you want to see the platform in action and hear where we're headed next.