LLM in investigations needs fewer hot takes and more real examples. That’s the idea behind the DFIR + AI Challenge. We’re looking for sanitized screenshots from real investigation workflows where GenAI either: helped in a meaningful way, failed in an interesting way, or landed somewhere in the messy middle. This can be from DFIR, SOC investigations, e-discovery, or similar investigative workflows. The goal is to create a more data-driven conversation around where GenAI actually works in investigations, and where it still breaks down. Thanks to Brian Carrier, for organizing this great initiative. I’m excited to be joining the judging panel alongside: Heather Barnhart, SANS @Alexis B, LEAPPS Eric Capuano Digital Defense Institute How it works: Submit sanitized screenshots showing GenAI being amazing, terrible, or questionable. The judges will review submissions and select the top 5 “amazing” examples and top 5 “disasters.” The public will vote on the final winners. All submissions will be published on GitHub. Winners get bragging rights, which is honestly the best security community currency. Submissions are due May 25, 2026. Full details here: https://lnkd.in/dGnqqqSr
I would love to read the final paper
Epic idea!
Only GenAI or any kind of AI models being used?