Extending yara, clamav and zeek with instant holloman fingerprints

This project started out as an attempt to see the capabilities of AI from a conversation at the W durring RSAC-2026. A few friends had pointed out that AI could implement 90% of the products on the show floor. 5th order hilbert plot of prime numbers The concept began with identifing a single opensource project that almost all the companies used in some form. YARA is one of the most embeded tool in the security industry for static analysis. It is backed into most endpoint protection tools. tldr; the project failed, so I did something different. I began to look for ways to reduce friction in a way that reduces the entropy in cyber security. Friction causes loss, lets lose less. My first attempt was to take the yara-x code base and rewrite it in go. It took about 3 months of casual vibe coding to understand AI didn’t have the ability to write preformant code in C or go that could beat eather implementation of yara. At this point I pivoted to another idea I had along the way. Could AI…