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Protect AI Acquires huntr; Launches World's First Artificial Intelligence and Machine Learning Bug Bounty Platform

Protect AI announced the launch of huntr, a groundbreaking AI/ML bug bounty platform focused exclusively on protecting AI/ML open-source software (OSS), foundational models, and ML Systems.

The launch of the huntr AI/ML bug bounty platform comes as a result of the acquisition of by Protect AI. Originally founded in 2020 by 418Sec Founder, Adam Nygate, quickly rose to become the world's 5th largest Certified Naming Authority (CNA) for Common Vulnerabilities and Exposures (CVEs) in 2022. With a vast network of over ten-thousand security researchers specializing in open-source software (OSS), huntr has been at the forefront of OSS security research and development. This success provides an opportunity for Protect AI to focus this platform on a critical and emerging need for AI/ML threat research. 

In today's AI-powered world, nearly 80% of code in Big Data, AI, BI, and ML codebases relies on open-source components, according to Synopsys, with more than 40% of these codebases harboring high-risk vulnerabilities. In one example, Protect AI researchers found a critical Local File Inclusion/Remote File Inclusion vulnerability in MLflow, a widely used system for managing machine learning life cycles, which could enable attackers to gain full access to a cloud account, steal proprietary data, and expose critical IP in the form of ML models.

Furthermore, there is a critical lack of AI/ML skills and expertise in the field of security research that are able to find these AI security threats. This has led to an urgent need for comprehensive AI/ML security research, with the focus on uncovering potential security flaws and safeguarding sensitive data and AI application integrity for enterprises.

"The vast artificial intelligence and machine learning supply chain is a leading area of risk for enterprises deploying AI capabilities. Yet, the intersection of security and AI remains underinvested. With huntr, we will foster an active community of security researchers, to meet the demand for discovering vulnerabilities within these models and systems," said Ian Swanson, CEO of Protect AI. 

"With this acquisition by Protect AI, huntr's mission now exclusively centers on discovering and addressing OSS AI/ML vulnerabilities, promoting trust, data security, and responsible AI/ML deployment. We're thrilled to expand our reward system for researchers and hackers within our community and beyond," said Adam Nygate, founder and CEO of

The New huntr Platform

huntr offers security researchers a comprehensive AI/ML bug hunting environment with intuitive navigation, targeted bug bounties with streamlined reporting, monthly contests, collaboration tools, vulnerability reviews, and the highest paying AI/ML bounties available to the hacking community. The first contest is focused on Hugging Face Transformers offering an impressive $50,000 reward.

huntr also bridges the critical knowledge gap in AI/ML security research and operates as an integral part of Protect AI's Machine Learning Security Operations (MLSecOps) community. By actively participating in huntr's AI/ML open-source-focused bug bounty platform, security researchers can build new expertise in AI/ML security, create new professional opportunities, and receive well-deserved financial rewards.

"AI and ML rely on open source software, but security research in these systems is often overlooked. huntr's launch for AI/ML security research is an exciting moment to unite and empower hackers in safeguarding the future of AI and ML from emerging threats," said Phil Wylie, a renowned Pentester. 

Chloé Messdaghi, Head of Threat Research at Protect AI, emphasized the platform's ethos, stating, "We believe in transparency and fair compensation. Our mission is to cut through the noise and provide huntrs with a platform that recognizes their contributions, rewards their expertise, and fosters a community of collaboration and knowledge sharing."

Published Tuesday, August 08, 2023 1:14 PM by David Marshall
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