Turn findings into fixes faster
Consistent next steps, powered by Hai
Decision-ready validation at scale
As findings increase, teams spend time on policy checks, duplicate debates, and priority questions. Agentic Validation standardizes early validation and keeps remediation moving.
Faster time to next steps
Get a recommendation informed by your program standards and history.
Get a recommendation informed by your program standards and history.
Less noise, more signal
Filter duplicates, out-of-scope, and ineligible findings early.
Filter duplicates, out-of-scope, and ineligible findings early.
Confidence at scale
See what was checked and why, with humans in control of the final decision.
See what was checked and why, with humans in control of the final decision.
Four agentic steps that turn findings into next steps
Confirm it fits your program
Collapse duplicates with reasoning
Prioritize with real-world context
Improve with every decision
Transparent checks. Human judgment stays in control.
Reviewers can inspect the checks behind each recommendation. When Hai lacks confidence, it flags uncertainty, so your team knows where to focus.
Teams approve, edit, or override recommendations. Those decisions improve future recommendations over time.
Meet Hai
Hai is HackerOne’s agentic AI system. It orchestrates workflows that reduce noise, apply program history, and surface real risk faster. Agentic Validation is one Hai-powered workflow that helps you move from discovery to remediation.
Get expert review with Hai Triage
Hai Triage pairs Agentic Validation with experienced security analysts who review recommendations, verify findings, and provide proof of exploitability where applicable before issues move forward. You keep full visibility while expert judgment and documented evidence accelerate decisions and remediation.