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huntr
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  • Introduction:
    A bug bounty platform focused on AI/ML.
  • Category:
    Education
  • Added on:
    Mar 17 2024
  • Monthly Visitors:
    30.0K
  • Social & Email:
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huntr: An Overview

huntr is the world's pioneering bug bounty platform specifically designed for Artificial Intelligence and Machine Learning applications. It serves as a vital tool for organizations to identify, report, and fix vulnerabilities, thereby ensuring the security and stability of their AI/ML systems.

huntr: Main Features

  1. Bug bounty program management
  2. Vulnerability submission interface
  3. Security and stability assurance for applications

huntr: User Guide

  1. Register your organization on the huntr platform.
  2. Create a bug bounty program tailored to your specific AI/ML applications.
  3. Invite security researchers to participate and report vulnerabilities.
  4. Monitor submitted vulnerabilities through the platform interface.
  5. Review and verify the reported issues.
  6. Implement fixes and improvements based on the feedback received.
  7. Reward the researchers based on the severity and impact of the vulnerabilities reported.

huntr: Pricing

Pricing information is not provided in the reference data.

huntr: User Reviews

  • "huntr has transformed our approach to security in AI applications. The platform is user-friendly and effective in managing vulnerability submissions." - Alex J.
  • "Having a dedicated bug bounty program for our machine learning models has significantly improved our security posture." - Jamie T.
  • "The support from huntr is exceptional. They guided us through the setup process and helped us attract top-notch security researchers." - Casey L.

FAQ from huntr

What measures does huntr take to maintain the integrity of AI/ML systems?
Huntr offers a unified platform where security experts can report flaws, facilitating the protection of AI/ML applications, particularly those utilizing Open Source Software.
What steps follow a vulnerability submission?
After a flaw is reported, huntr reaches out to the application maintainer for clarification and monitors the situation. Upon confirmation and resolution of the issue, the researcher receives a reward, and a unique CVE identifier is assigned.
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