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.
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.
Trusted by technology leaders developing & integrating AI
Key Benefits
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.
How ready is your organization for AI’s complexities?
How It Works
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 the OWASP Top 10 for LLMs.
- Align the testing scope with your organization’s risk management strategy.
Create a threat model and testing plan that addresses your AI risk priorities.
- Conduct threat 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.
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 the testing period.
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.
Security advisory services
Manage and scale your program with best practices and insights from experts in cyber risk reduction. Our solutions architects help tailor your program—from custom workflows to KPIs for measuring program success.
Hai: Your HackerOne GenAI copilot
Our in-platform AI copilot provides an immediate understanding of your security program so you can make decisions and deliver fixes faster. Effortlessly translate natural language into queries, enrich reports with context, and use platform data to generate recommendations.
Speak with a security expert
Check out these additional resources
The Ultimate Guide to Managing Risk in AI
This guide provides critical insights on AI security challenges and ethical considerations from the HackerOne community of security researchers—which includes 750+ ethical hackers specializing in AI security and safety testing.
AI Safety and Security Checklist
Whether your organization is looking to develop, secure, or deploy AI or LLMs, or you're hoping to ensure the security and ethical adherence of your existing model, you’ll want this handy checklist for implementing safe and secure AI.
Experts Break Down AI Red Teaming
Delve into the minds of three leading hackers specializing in AI security and safety to learn how (or if) they use AI for bug bounty hunting, what AI regulations are coming soon, the impact of prompt injection, the usefulness of the OWASP Top 10 for LLM and CVSS, and more.
SANS 2024 AI Survey: AI and Its Growing Role in Cybersecurity
Explore how AI is transforming cybersecurity, including real-world applications, evolving challenges, and the rise of AI-driven threat actors. This report offers key insights into the current landscape and future trends.
Are you ready?
Assess how prepared your organization is for the complexities of AI implementation.
In just nine questions, get personalized results and practical steps to benchmark and improve your AI risk management strategy.