Secure AI by Design: HackerOne's Approach to Data Confidentiality with Hai

Hai leverages advanced GenAI pre-trained models from leading providers like Anthropic and Amazon, running exclusively on HackerOne’s secure and fully controlled infrastructure. Acting as an extension of a security team, Hai delivers personalized insights, empowering teams to make faster, more informed decisions and prioritize the most critical actions. 

The use of AI runs securely in HackerOne’s own AWS cloud setup and follows the same strict security and compliance standards that protect the rest of the platform. HackerOne is ISO 27001, SOC 2, FedRAMP certified, and GDPR compliant, ensuring data is always protected. Hai is also within the scope of HackerOne’s Bug Bounty Program.

Work smarter, respond faster, and stay ahead of threats

Hai enables smarter, faster security decisions with quick-access prompts and tailored insights, keeping the focus on critical actions instead of searching for answers.

Integrated directly into the HackerOne Platform and available across all products, Hai use cases include analyzing complex vulnerability reports, supporting communication with researchers, and efficiently prioritizing risks. It summarizes findings, contextualizes them, identifies past attack vectors, assesses root causes, and highlights items that may require immediate attention.

There is no need to sift through pages of data; simply prompt Hai for an executive summary with key trends, metrics, vulnerabilities, successes, challenges, and urgent risks. With streamlined workflows, security teams can protect digital assets quickly and confidently.

Hai visualizes program performance, clearly showing key metrics and trends.

Built-in data privacy and security

Hai leverages pre-trained large language models while adhering to HackerOne's strict security and access controls. Hai acts in accordance with user-level permissions, and each response is only generated from data the user is authorized to access.

This diagram illustrates Hai's response flow, showing how user queries are processed through context retrieval, LLM invocation, and optional tool invocation, all within strict permission boundaries to ensure security and data integrity.

This means Hai can only access the information at the same level as the user interacting with Hai. When you ask Hai a question, it analyses all the relevant data accessible to that specific user to respond. Everything is handled securely within HackerOne’s existing AWS infrastructure, so you get helpful AI insights without compromising security or privacy.

For example, when you ask Hai to summarize a report, it securely accesses the relevant content only within user permissions (such as similar findings, report attachments, and POCs), ensuring sensitive data remains protected. It will never retrieve information beyond user-authorized access, preventing data exposure across permission boundaries. 

Driving Productivity with Human Oversight

Aligned with a security-first approach is the belief that technology should elevate human expertise. GenAI is a powerful tool to help teams make smarter, faster decisions while maintaining configurable human-in-the-loop control over actions. By automating time-consuming tasks, teams gain more time to focus on what matters most, eliminating vulnerabilities.

For example, when Hai suggests an action, like sending an email or changing a report's severity, it will request approval first. Transparency plays a key role, with clear logs to track Hai's actions and the ability to set automated preferences. This balance of automation and human expertise strengthens security and guarantees teams stay in control at every step.

This remains unchanged as we explore more agentic interfaces, where Hai may perform specific actions autonomously. Users are always responsible for enabling specific Hai-driven automations themselves. To reinforce this, we provide information-rich audit logs, allowing users to trace Hai’s actions transparently. 

Take Action with Confidence

We do not use organization information, prompts, or responses to train or improve GenAI models. You can confidently use AI knowing we respect and protect privacy and security standards. 

We provide secure, responsible AI that helps security teams work more efficiently while keeping data safe. This allows teams to focus on what matters most: protecting the organization.

Welcome to the future of cybersecurity, where efficiency, humans, and AI come together to protect and improve technology without ever compromising trust or security.

To learn more about how we’re ensuring Hai's security, review the Security & Trust page.