Hai Insight Agent: The Teammate Who Remembers Every Report

Security teams face more vulnerability data than ever, but less clarity on what to fix first. Every report demands time, context, and consistency. With limited resources, teams must choose between speed and depth, often sacrificing both.

Hai, HackerOne’s AI security agent, helps teams overcome the tradeoff between speed and confidence. It sharpens prioritization, accelerates action, and improves risk communication across teams. Its latest capability, the Insight Agent, analyzes each new submission, connects it to your program’s historical findings, and guides the next step with clarity and consistency.

Getting started is simple. In any HackerOne vulnerability report, click “Generate Insights” at the top of the page. Hai will analyze the submission and surface a summary, credibility assessment, similar past reports, a visual attack path, and recommended severity and bounty.

Remove the Bottlenecks That Slow You Down

Across nearly every program, we see four challenges that consistently slow teams down:

• Teams waste time digging through old reports to see how they handled similar issues.
• Severity ratings and bounty decisions vary for similar findings, creating friction with researchers.
• Looking at each report in isolation makes it easy to miss recurring patterns until they escalate.
• Remediation stalls when developers lack clear context, forcing back-and-forth to align on risks and next steps.

These aren’t edge cases; they’re everyday blockers. Hai removes them.

Turn Each Report Into Action

Hai looks at each new report alongside what your team has seen before to understand the issue and how it relates to past vulnerabilities. Using deep research, Hai acts like a security engineer, spotting patterns, suggesting severity, and explaining why it matters.

Here’s how Hai breaks it down:

• Generates a high-level summary by pulling from all report activity and discussion to explain the vulnerability, steps to reproduce, and impact.
• Delivers a structured assessment that outlines the risk, highlights impacted areas and includes a confidence score to show how strongly it supports its analysis.
• Surfaces similar reports with clear explanations of why they match, helping you validate findings, avoid duplicates, and learn from past outcomes
• Creates a visual attack scenario diagram that maps out the potential exploitation making it easy to share across security, engineering, and business teams
• Recommends severity and bounty amounts based on report content, program settings, and historical precedent supporting consistent, transparent decisions

Want more context? Just ask Hai to dive deeper into the findings.

The Insight Agent documentation provides more information, including examples of each component and how to apply them effectively.

These insights directly support teams' day-to-day work, reducing the time spent drafting responses, improving consistency in severity scoring, and making handoffs easier with clear, actionable context. Instead of starting from scratch, teams get a structured head start.

“Hai Insight Agent, cut our validation time from 20 minutes to just 5. By replacing manual steps with clear context, we validate faster, clarify impact, and stay aligned. The attack path diagram helps us clearly communicate risk and drive action with the right teams.”

— Connor Knabe, Application Security Architect, Veterans United Home Loans.

Built to Think Like a Teammate, Not Just a Tool

What makes these insights trustworthy? Hai doesn’t just automate, it thinks like a teammate. It reviews each report the way an experienced analyst would, using your program’s history to guide decisions with context and clarity.

Hai supports your program in four key ways:

• Draws on past reports to inform each analysis
• Surfaces insights that would take hours to uncover manually
• Tailors guidance based on how your team handled similar issues
• Maintains consistency, even as report volume grows

Hai delivers real-time insights using only the data your team can access. As you resolve reports, it continuously applies that historical context—surfacing patterns, clarifying impact, and delivering more relevant guidance over time.

This is the data flywheel in motion. Each submission not only drives resolution but also strengthens the context behind every decision that follows. Insights compound, helping your response become faster, more consistent, and more informed with every report.

“What’s powerful about Hai Insight Agent is that it feels like having someone on the team who knows every report that’s ever come through our program. It can surface similarities and differences between submissions, making it easy to spot duplicates or inaccuracies.”

— Clara Andress, Bug Bounty Operations Manager, Zoom

Built for Security, Designed for Trust

We built Hai with privacy, security, and transparency at its core. Hai leverages pre-trained LLMs (including from Anthropic and Amazon) through AWS Bedrock to power its reasoning and natural language understanding.

Hai runs within HackerOne’s strict security and access controls. It respects user-level permissions, meaning it only generates responses from data individual users can access. Your data stays in your environment, isolated, protected, and never used to train or fine-tune the model.

To learn more, read our Approach to Data Confidentiality with Hai.

Find the Signal in Every Submission

Hai Insight Agent gives your team what they’ve been missing: immediate context, structured guidance, and clear visual communication, all embedded directly within your existing workflow.

You’ll spend less time validating reports, more time acting on what matters, and building stronger alignment across security and engineering teams. Whether you’re managing volume, improving consistency, or driving faster resolution, Hai helps your program scale.

Check out how HackerOne used Hai Insight Agent on our own program to analyze a real vulnerability report → See it in Action.