HackerOne connector
Automate Your Vulnerability Management Program with HackerOne Integrations
Connect HackerOne to your security stack, ticketing systems, and DevOps pipelines to automate bug bounty triage, remediation tracking, and compliance reporting.
What can you do with the HackerOne connector?
HackerOne is the go-to platform for bug bounty and vulnerability disclosure — but managing incoming reports, researcher payouts, and remediation timelines by hand creates real bottlenecks for security teams. Integrating HackerOne with tray.ai lets you automatically route vulnerability reports to the right engineering teams, sync findings into your SIEM or ticketing tools, and kick off remediation workflows the moment a critical report is triaged. Whether you run a private bug bounty program or a public VDP, tray.ai makes sure no valid finding gets dropped.
Automate & integrate HackerOne
Automating HackerOne business process or integrating HackerOne data is made easy with tray.ai
Use case
Automated Vulnerability Report Triage and Routing
When a new HackerOne report comes in, automatically parse its severity, CVSS score, and affected asset to route it to the correct engineering squad or product team. Cut the manual triage queue by firing Slack alerts, creating Jira tickets, and setting SLA timers in a single workflow. Security teams get full visibility while developers get context-rich tickets without waiting on analyst handoffs.
Use case
Remediation Tracking and SLA Enforcement
Keep remediation timelines on track by syncing HackerOne report statuses with your internal ticketing system and triggering escalation alerts when SLAs are at risk. Automatically close HackerOne reports when linked Jira or GitHub issues are resolved, and notify program managers of overdue items via Slack or email. You get a closed-loop remediation process that works for your engineering teams and keeps researchers in the loop.
Use case
Security Findings Ingestion into SIEM and Risk Platforms
Feed confirmed HackerOne vulnerabilities directly into your SIEM, risk register, or GRC platform to maintain a unified view of your security posture. Normalize HackerOne report data into your internal schema and correlate findings with asset inventory, CVE databases, and existing incidents. Security leadership gets real-time visibility into externally discovered risks alongside internally generated findings.
Use case
Researcher Reward and Payment Workflow Automation
Speed up the bounty payout process by triggering reward workflows as soon as a report is marked resolved or bounty-eligible — cutting the administrative delay that frustrates security researchers. Automatically notify researchers of payout decisions, log reward data into your finance or expense management system, and generate program spend reports on a scheduled basis. Researchers who get paid promptly submit better reports.
Use case
Compliance Reporting and Audit Trail Generation
Automatically compile HackerOne vulnerability data into compliance-ready reports for frameworks like SOC 2, ISO 27001, and PCI DSS, pulling report counts, severity distributions, mean time to resolve, and remediation evidence. Schedule weekly or monthly report generation that aggregates data from HackerOne alongside other security tools and delivers formatted summaries to GRC managers. Audit prep stops being a fire drill.
Use case
AI-Assisted Vulnerability Impact Analysis
Use tray.ai's AI capabilities to analyze incoming HackerOne reports, assess business impact based on affected asset criticality, and draft initial response messages to researchers. AI agents can cross-reference new reports against your existing vulnerability database to detect duplicates, estimate exploitability, and suggest remediation priority. Analysts spend less time on repetitive triage decisions and more time on the findings that actually need human judgment.
Use case
New Report Notifications and On-Call Alerting
Make sure critical vulnerability disclosures reach the right people immediately by routing HackerOne report notifications based on severity level, program, and time of day. Automatically page on-call engineers via PagerDuty or OpsGenie for critical and high-severity reports, and send digest summaries of lower-severity findings to Slack channels at defined intervals. A critical report shouldn't sit unreviewed in someone's inbox over a weekend.
Build HackerOne Agents
Give agents secure and governed access to HackerOne through Agent Builder and Agent Gateway for MCP.
Data Source
Fetch Vulnerability Reports
Retrieve bug bounty and vulnerability reports submitted by security researchers, including severity, status, and reproduction steps. Agents can use this data to prioritize remediation or trigger downstream workflows.
Data Source
Look Up Program Details
Pull information about bug bounty program configurations, scope definitions, and reward structures. Agents can use this to answer questions about what assets are in scope or validate researcher submissions against program rules.
Data Source
Query Report Triage Status
Retrieve the current triage state of vulnerability reports — new, triaged, needs-more-info, or resolved. Agents can monitor queues and surface reports that have been waiting too long without a response.
Data Source
Retrieve Hacker Activity and Reputation
Access researcher profiles, reputation scores, and submission history from HackerOne. Agents can use this context to assess the credibility of incoming reports or identify top contributing researchers.
Data Source
List Program Weaknesses and CVE Data
Fetch weakness categories and associated CVE identifiers linked to submitted reports. Agents can use this to spot vulnerability trends across the program and feed findings into security planning.
Agent Tool
Update Report State
Transition a vulnerability report through states such as triaged, resolved, or closed as not applicable. Agents can automate state changes based on engineer feedback or automated validation results.
Agent Tool
Add Comments to Reports
Post comments on vulnerability reports to communicate with researchers or internal team members directly within HackerOne. Agents can acknowledge receipt, request more information, or share remediation updates.
Agent Tool
Assign Reports to Team Members
Assign incoming vulnerability reports to the right security engineer or team. Agents can route reports automatically based on affected asset, severity, or weakness type.
Agent Tool
Award Bounties and Swag
Trigger bounty payments or swag rewards for resolved and accepted vulnerability reports. Agents can handle reward workflows automatically once a report is marked resolved and approved by the security team.
Agent Tool
Create and Update Structured Program Scope
Add or modify in-scope and out-of-scope assets within a HackerOne program. Agents can keep program scope in sync with infrastructure or product changes from other systems.
Agent Tool
Sync Reports to Issue Trackers
Create or update linked tickets in external issue trackers like Jira based on HackerOne report data. Agents give engineering teams visibility into security findings without the manual copy-paste.
Data Source
Generate Vulnerability Summary Reports
Aggregate metrics across reports such as open critical issues, mean time to resolution, and bounty spend. Agents can pull these into executive summaries or push them into security dashboards on demand.
Get started with our HackerOne connector today
If you would like to get started with the tray.ai HackerOne connector today then speak to one of our team.
HackerOne Challenges
What challenges are there when working with HackerOne and how will using Tray.ai help?
Challenge
Fragmented Vulnerability Data Across Security and Engineering Tools
Security teams often manage HackerOne reports in isolation from their Jira backlogs, SIEM alerts, and risk registers. That creates blind spots where valid vulnerabilities are acknowledged in HackerOne but never properly tracked through to remediation in engineering workflows.
How Tray.ai Can Help:
tray.ai creates real-time, bidirectional data flows between HackerOne and tools like Jira, ServiceNow, and Splunk, so every triaged report becomes a tracked engineering work item and every remediation is reflected back in HackerOne without manual updates.
Challenge
Slow Triage Response Times for High-Volume Programs
Large bug bounty programs can receive hundreds of reports per week. Manual triage creates bottlenecks that breach researcher SLAs, hurt program reputation, and leave valid critical vulnerabilities sitting unaddressed while analysts work through the queue.
How Tray.ai Can Help:
tray.ai automates initial routing, severity-based alerting, and duplicate detection the moment a report arrives, so critical findings are escalated immediately while lower-priority items are batched and routed to the correct teams without analyst involvement.
Challenge
Manual Compliance Evidence Collection and Reporting
Proving that your vulnerability disclosure program meets SOC 2, ISO 27001, or PCI DSS requirements means compiling evidence of report handling, remediation timelines, and SLA adherence. When HackerOne data lives separately from your GRC tools, that's a time-consuming manual process every time an audit comes around.
How Tray.ai Can Help:
tray.ai automates scheduled data pulls from the HackerOne API, transforms findings into compliance-ready formats, and pushes evidence directly into your GRC platform or a shared compliance tracker, giving auditors a continuously maintained audit trail.
Challenge
Researcher Experience Degraded by Slow Communication
Researchers who submit valid reports and hear nothing back — or wait weeks for payout confirmation — disengage from programs. Most programs don't have the automation in place to send real-time status updates without significant manual effort from program managers.
How Tray.ai Can Help:
tray.ai triggers automated researcher notifications at each stage of the report lifecycle, from initial triage confirmation through bounty award, so researchers get timely updates that keep the program credible without adding to the team's workload.
Challenge
No Unified View of External and Internal Vulnerability Risk
Organizations running HackerOne programs alongside internal vulnerability scanners, penetration tests, and red team exercises struggle to maintain a unified risk register. Each source uses different severity scales, asset identifiers, and data formats that someone has to normalize by hand.
How Tray.ai Can Help:
tray.ai normalizes HackerOne report data against your internal asset inventory and enriches findings with CVE references, CVSS scores, and business unit metadata before pushing them into a unified risk platform, so security leadership can make prioritization decisions across all vulnerability sources at once.
Talk to our team to learn how to connect HackerOne with your stack
Find the tray.ai connector with one of the 700+ other connectors in the tray.ai connector library to integrate your stack.
Integrate HackerOne With Your Stack
The Tray.ai connector library can help you integrate HackerOne with the rest of your stack. See what Tray.ai can help you integrate HackerOne with.
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Start using our pre-built HackerOne templates today
Start from scratch or use one of our pre-built HackerOne templates to quickly solve your most common use cases.
Template
HackerOne to Jira Vulnerability Ticket Sync
Automatically creates a Jira issue whenever a HackerOne report is triaged as valid, populates it with severity, CVSS score, reproduction steps, and asset details, and keeps status synchronized bidirectionally so closing the Jira ticket resolves the HackerOne report.
Steps:
- Trigger on HackerOne report state change to 'triaged' via webhook
- Map report fields (severity, CVSS, asset, description) to Jira issue schema and create ticket
- Post notification to the relevant engineering Slack channel with ticket link and severity badge
- Monitor Jira issue status and update HackerOne report state when issue is closed
Connectors Used: HackerOne, Jira, Slack
Template
Critical HackerOne Report PagerDuty Alert
Triggers an immediate PagerDuty incident for any HackerOne report submitted with critical or high severity, routing to the on-call security engineer with full vulnerability context, and posts a parallel alert to the security Slack channel.
Steps:
- Receive HackerOne new report webhook and check severity against critical/high threshold
- Create PagerDuty incident with report title, CVSS score, affected asset, and HackerOne report URL
- Post detailed Slack message to security-incidents channel with report summary and assigned analyst
- Update HackerOne report with internal tracking ID and estimated initial response time
Connectors Used: HackerOne, PagerDuty, Slack
Template
HackerOne Weekly Compliance Report to Google Sheets
Runs on a weekly schedule to pull all HackerOne reports from the past seven days, aggregate severity counts, mean time to triage, and remediation rates, and append a formatted row to a Google Sheets compliance tracker shared with the security leadership team.
Steps:
- Schedule trigger fires every Monday morning and queries HackerOne API for prior week reports
- Calculate KPIs including MTTT, open critical count, and bounty spend totals
- Append aggregated metrics as a new row in the compliance Google Sheet
- Send formatted email digest to security leadership with key metrics and trend comparison
Connectors Used: HackerOne, Google Sheets, Gmail
Template
HackerOne Resolved Report to ServiceNow Change Record
When a HackerOne vulnerability is marked resolved, automatically creates a ServiceNow change record linking the fix deployment to the vulnerability disclosure, building a continuous compliance audit trail that satisfies SOC 2 and ISO 27001 evidence requirements.
Steps:
- Trigger on HackerOne report transition to 'resolved' state
- Extract remediation details, affected asset, resolver, and resolution date from report
- Create ServiceNow change record with vulnerability details and link to HackerOne report
- Notify security compliance Slack channel with audit trail confirmation and report summary
Connectors Used: HackerOne, ServiceNow, Slack
Template
AI-Powered HackerOne Duplicate Detection and Auto-Triage
Uses an AI agent to compare each incoming HackerOne report against all open and recently closed reports, identify potential duplicates or related findings, draft an initial analyst response, and pre-populate triage metadata to accelerate analyst decision-making.
Steps:
- Receive new HackerOne report webhook and extract title, description, affected endpoint, and proof of concept
- Query HackerOne API for open reports and pass all data to OpenAI for duplicate similarity analysis
- If duplicate confidence is high, draft a researcher message and flag for analyst review in Slack
- If novel finding, auto-populate Jira triage ticket with AI-suggested severity and affected component
Connectors Used: HackerOne, OpenAI, Jira, Slack
Template
HackerOne Bounty Payout Sync to Finance System
Listens for bounty award events in HackerOne and automatically logs payout details to NetSuite or QuickBooks, notifies the researcher via email, and updates a Google Sheets spend tracker so the security program budget stays current in real time.
Steps:
- Trigger on HackerOne bounty awarded event webhook
- Extract researcher handle, report ID, bounty amount, and program details
- Create expense record in NetSuite and append row to Google Sheets budget tracker
- Send researcher a personalized Gmail notification confirming award amount and expected processing time
Connectors Used: HackerOne, NetSuite, Google Sheets, Gmail