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New Open-Source Tool from CyberArk Helps Prevent AI Model Misuse

By Greg Tavarez

From the moment a customer interacts with a company (through all the intricate workings of internal operations), AI is making its mark.

But behind the scenes, this technological shift brings a new set of challenges.

Businesses have become increasingly reliant on AI for everything; from managing their supply chains to safeguarding sensitive data, you name it. Doing that opens themselves up to unprecedented security risks, and Cybercriminals are constantly on the prowl (and evolving their tactics and AI systems, along the way).

Unfortunately, many organizations are simply not prepared for this new wave of cyber threats. Traditional security measures, designed for simpler systems, often fall short when it comes to protecting the intricate and often opaque workings of AI. A lack of understanding about these unique vulnerabilities, coupled with a shortage of cybersecurity professionals with the specialized knowledge to address them, leaves many businesses dangerously exposed.

The good news is that these challenges are not insurmountable thanks to various solutions out there. A recently example is CyberArk’s launch of FuzzyAI, a cutting-edge open-source framework that has jailbroken every major tested AI model.

CyberArk is known for providing one of the most comprehensive security offerings for any identity – human or machine – across business applications, distributed workforces, hybrid cloud environments and throughout the DevOps lifecycle.

CyberArk’s FuzzyAI offers organizations a systematic approach to testing AI models against various adversarial inputs, uncovers potential weak points in their security systems and makes AI development and deployment safer. At the center of FuzzyAI, according to the official announcement, “is a powerful fuzzer – a tool that reveals software defects and vulnerabilities – capable of exposing vulnerabilities found via more than 10 distinct attack techniques, from bypassing ethical filters to exposing hidden system prompts.”

These techniques aim to identify critical issues such as circumvention of safety guardrails, unintended information leakage, malicious prompt injections and the generation of harmful outputs.

FuzzyAI also offers an extensible framework. This allows users to more easily integrate their own custom attack methods, which enables tailored testing for specific vulnerabilities within their domain.

Additionally, FuzzyAI thrives within a collaborative ecosystem. A growing community actively contributes to the development of new adversarial techniques and defense mechanisms. This is to ensure that the platform remains at the forefront of AI security research and development.

“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’s fully extensible framework is available as open-source software on CyberArk Labs’ GitHub page.

Be part of the discussion about the latest trends and developments in the Generative AI space at Generative AI Expo, taking place February 11-13, 2025, in Fort Lauderdale, Florida. Generative AI Expo covers the evolution of GenAI and will feature conversations focused on the potential for GenAI across industries and how the technology is already being used to create new opportunities for businesses to improve operations, enhance customer experiences, and create new growth opportunities.




Edited by Alex Passett
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