HackerOne AI Red Teaming

Targeted, time-bound offensive testing for AI models

Call on a skilled researcher community to identify and mitigate unintended behaviors and vulnerabilities in AI systems.

Key Benefits

Protect your AI models from risks, biases, and malicious exploits

  • GenAI is here to stay—are you prepared to defend against emerging threats?
  • AI red teaming uses human expertise to critically assess AI systems, identifying safety, trust, and security concerns. This process results in a detailed list of findings, along with actionable guidance to improve the system's resilience.
  • HackerOne AI Red Teaming harnesses a global community of expert security researchers for a targeted, time-bound assessment, supported by specialized advisory services. By addressing vulnerabilities and ethical concerns, the engagement safeguards AI models, protecting against unintended behaviors and harmful outputs.

Global AI safety and security expertise

Access a diverse community of security researchers to identify critical vulnerabilities in AI models, focusing on real-world risks and harmful outputs that automated systems might overlook.

Customized, targeted offensive testing

Tailor your AI testing to fit your exact needs. Set the scope, priorities, and timeframe to focus on your systems' most pressing issues and deliver effective results.

Expert security guidance & fast deployment

Get expert guidance on threat modeling, policy creation, and vulnerability mitigation from HackerOne's solutions architects. Enjoy rapid testing deployment with full support before, during, and after each engagement.

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How it Works

Define scope & risk priorities

Identify which AI models and systems are in scope and establish key risk and safety priorities. 

  • Determine the AI models and systems vulnerable to attack.
  • Focus on specific risks, such as model theft, bias, and security concerns like OWASP Top 10 for LLMs.
  • Align the testing scope with your organization's risk management strategy. 
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Design a tailored threat model

Create a threat model and test plan that addresses your AI risk priorities.

  • Conduct thread modeling to assess how adversaries might target your AI.
  • Develop a tailored testing plan that targets specific vulnerabilities and risks.
  • Ensure the plan covers AI safety and security threats such as adversarial attacks and model degradation. 
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Engage experts & execute testing

Source skilled researchers and manage the testing process with ongoing support.

  • Select researchers experienced in AI vulnerabilities like prompt engineering and adversarial inputs.
  • Manage testing and integrate findings into your security workflows.
  • Leverage solutions architects for guidance throughout testing period.
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Centralize reporting and remediation

Receive actionable reports in the HackerOne Platform to ensure effective remediation. 

  • Capture detailed findings on vulnerabilities, paired with clear prioritized recommendations.
  • Use the centralized platform to track, manage, and validate remediation efforts.
  • Ensure all issues are resolved to secure your AI systems and prevent future risks.
Are you ready?

Speak with a Security Expert