Empowering cyber defenders with AI is crucial to tilting the cybersecurity steadiness again of their favor as they battle cybercriminals and maintain customers protected. To assist speed up adoption of AI for cybersecurity workflows, we partnered with Airbus at DEF CON 33 to host the GenSec Seize the Flag (CTF), devoted to human-AI collaboration in cybersecurity. Our aim was to create a enjoyable, interactive setting, the place members throughout varied ability ranges might discover how AI can speed up their day by day cybersecurity workflows.
At GenSec CTF, practically 500 members efficiently accomplished introductory challenges, with 23% of members utilizing AI for cybersecurity for the very first time. An amazing 85% of all members discovered the occasion helpful for studying how AI may be utilized to safety workflows. This optimistic suggestions highlights that AI-centric CTFs can play a significant position in rushing up AI training and adoption within the safety neighborhood.
The CTF additionally supplied a invaluable alternative for the neighborhood to make use of Sec-Gemini, Google’s experimental Cybersecurity AI, as an non-obligatory assistant out there within the UI alongside main LLMs. And we obtained nice suggestions on Sec-Gemini, with 77% of respondents saying that that they had discovered Sec-Gemini both “very useful” or “extraordinarily useful” in aiding them with fixing the challenges.
We need to thank the DEF CON neighborhood for the enthusiastic participation and for making this inaugural occasion a powerful success. The neighborhood suggestions through the occasion has been invaluable for understanding the best way to enhance Sec-Gemini, and we’re already incorporating a number of the classes discovered into the subsequent iteration.
We’re dedicated to advancing the AI cybersecurity frontier and can proceed working with the neighborhood to construct instruments that assist defend folks on-line. Keep tuned as we plan to share extra analysis and key learnings from the CTF with the broader neighborhood.
