Hai is HackerOne’s AI assistant for vulnerability management, helping security teams triage reports, query their program data, and accelerate remediation.
Hai brings generative AI to the vulnerability management workflow on HackerOne’s platform. Security teams can ask questions across their report history in natural language — which issues recur in a given asset, what the average time-to-remediate is by severity — and receive answers grounded in their own program data. The assistant summarizes new reports, suggests severity context, and helps draft responses to researchers, cutting the administrative load of running a vulnerability program. For organizations managing hundreds of reports, the compounding value is consistency: triage language, remediation guidance, and stakeholder communication follow patterns rather than depending on who is on shift. Hai is built with the responsible-disclosure context of HackerOne’s community in mind. Because Hai draws on HackerOne’s corpus of real-world reports and hacker expertise, its suggestions reflect patterns seen across thousands of programs rather than generic security advice from a general model.
Hai is available to HackerOne customers, with capabilities varying by program tier. Enterprise agreements can expand access and integrate Hai into broader security workflows through HackerOne’s API.
Security teams running bug bounty or vulnerability disclosure programs on HackerOne who spend significant time on triage and communication rather than remediation itself. It is also valuable for security leaders who want program intelligence — recurring weakness patterns and remediation velocity — without manual report archaeology. It also helps program owners report security value upward with clear metrics on trends and remediation speed.
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