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Editorial Advisory Board

  • Professor Andrea M. Armani, University of Southern California
  • Ruti Ben-Shlomi, Ph.D., LightSolver
  • James Butler, Ph.D., Hamamatsu
  • Natalie Fardian-Melamed, Ph.D., Columbia University
  • Justin Sigley, Ph.D., AmeriCOM
  • Professor Birgit Stiller, Max Planck Institute for the Science of Light, and Leibniz University of Hannover
  • Professor Stephen Sweeney, University of Glasgow
  • Mohan Wang, Ph.D., University of Oxford
  • Professor Xuchen Wang, Harbin Engineering University
  • Professor Stefan Witte, Delft University of Technology

CyberArk Unveils Breakthrough Open-Source Tool That Helps Organizations Safeguard Against AI Model Jailbreaks

CyberArk (NASDAQ: CYBR), the global leader in identity security, today announced the launch of FuzzyAI, a cutting-edge open-source framework that has jailbroken every major tested AI model. FuzzyAI helps organizations identify and address AI model vulnerabilities, like guardrail bypassing and harmful output generation, in cloud-hosted and in-house AI models. To understand first-hand how organizations can adopt AI while mitigating cyber risks, Black Hat Europe 2024 attendees can explore the tool’s capabilities and applications.

Why FuzzyAI?

AI models are transforming industries with innovative applications in customer interactions, internal process improvements and automation. Internal usage of these models also presents new security challenges for which most organizations are unprepared.

FuzzyAI helps solve some of these challenges by offering organizations a systematic approach to testing AI models against various adversarial inputs, uncovering potential weak points in their security systems and making AI development and deployment safer. At the heart of FuzzyAI is a powerful fuzzer - a tool that reveals software defects and vulnerabilities - capable of exposing vulnerabilities found via more than ten distinct attack techniques, from bypassing ethical filters to exposing hidden system prompts. Key features of FuzzyAI include:

  • Comprehensive Fuzzing: FuzzyAI probes AI models with various attack techniques to expose vulnerabilities like bypassing guardrails, information leakage, prompt injection or harmful output generation.
  • An Extensible Framework: Organizations and researchers can add their own attack methods to tailor tests for domain-specific vulnerabilities.
  • Community Collaboration: A growing community-driven ecosystem ensures continuous adversarial techniques and defense mechanisms advancements.

“The launch of FuzzyAI underlines CyberArk’s commitment to AI security and helps organizations take a significant step forward in addressing the security issues inherent in the evolving landscape of AI model usage,” said Peretz Regev, Chief Product Officer at CyberArk. “Developed by CyberArk Labs, FuzzyAI has demonstrated the ability to jailbreak every major tested AI model. FuzzyAI empowers organizations and researchers to identify weaknesses and actively fortify their AI systems against emerging threats.”

FuzzyAI Availability

FuzzyAI’s fully extensible framework is available as open-source software on CyberArk Labs’ GitHub Page from December 11, 2024. CyberArk Labs will run a Capture The Flag (CTF) event at Black Hat Europe Arsenal to showcase its practical applications, highlighting the real-world impacts of jailbreak vulnerabilities and the pressing need for proactive mitigation.

About CyberArk

CyberArk (NASDAQ: CYBR) is the global leader in identity security. Centered on intelligent privilege controls, CyberArk provides the most comprehensive security offering for any identity – human or machine – across business applications, distributed workforces, hybrid cloud environments and throughout the DevOps lifecycle. The world’s leading organizations trust CyberArk to help secure their most critical assets. To learn more about CyberArk, visit https://www.cyberark.com, read the CyberArk blogs or follow on LinkedIn, X, Facebook or YouTube.

Copyright © 2024 CyberArk Software. All Rights Reserved. All other brand names, product names, or trademarks belong to their respective holders.

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