SANS Institute Crowns Five Open-Source AI Incident Response Tools in Landmark Hackathon
Event summary
- SANS Institute named five winners of Find Evil!, the largest evaluation of autonomous AI incident response agents, with 1,775 evaluations against 123 submissions.
- First-place winner Mulder, built by Caleb Evans, completed forensic analysis in minutes, a task typically taking weeks manually.
- All winning harnesses are open-source and available on GitHub, emphasizing community-driven cybersecurity tools.
- Find Evil! drew 4,413 registrants, with 123 teams advancing to the final judging phase.
- Prizes totaled over $22,000, with $10,000 awarded to the first-place winner.
The big picture
The Find Evil! hackathon underscores the growing importance of autonomous AI in cybersecurity, particularly in incident response. The event highlights a shift towards open-source solutions, potentially democratizing access to advanced defensive tools. The success of cross-disciplinary teams suggests that collaboration between AI/ML engineers and security experts will be critical in developing future cybersecurity technologies.
What we're watching
- Adoption Pace
- How quickly organizations will integrate these open-source AI tools into their incident response workflows.
- Community Impact
- Whether the open-source model will accelerate innovation in autonomous AI incident response.
- Regulatory Scrutiny
- The extent to which regulatory bodies will scrutinize the use of autonomous AI in cybersecurity operations.
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