# HackerOne integrations

> Connect HackerOne to your security stack, ticketing systems, and DevOps pipelines to automate bug bounty triage, remediation tracking, and compliance reporting.

**Canonical page:** https://tray.ai/connectors/hackerone-integrations/
**Categories:** Security and compliance
**Documentation:** https://tray.ai/documentation/connectors/service/hackerone

## Overview

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.

## Use cases

### 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.

- Reduce mean time to triage by routing critical reports within minutes of submission
- Automatically tag and assign tickets based on asset owner or component mapping
- Eliminate manual copy-paste of vulnerability details between HackerOne and Jira or ServiceNow

### 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.

- Automatically escalate overdue reports to engineering managers before SLAs breach
- Bidirectional status sync between HackerOne and Jira keeps both systems accurate
- Reduce researcher frustration with timely, automated status update notifications

### 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.

- Centralize bug bounty findings alongside penetration test and scanner results
- Automatically enrich reports with CVE data, CVSS scores, and asset metadata
- Maintain an always-current risk register without manual data entry

### 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.

- Trigger payout notifications the moment a report reaches resolved status
- Sync bounty spend data automatically to finance tools like NetSuite or QuickBooks
- Reduce researcher payout inquiries with proactive, automated communication

### 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.

- Auto-generate compliance evidence packages on a recurring schedule
- Correlate HackerOne remediation data with change management and deployment records
- Reduce audit preparation time by keeping continuous compliance documentation current

### 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.

- Reduce duplicate report handling with AI-powered similarity detection across open reports
- Draft researcher response messages automatically to maintain program responsiveness
- Prioritize remediation backlog based on asset value and exploit likelihood

### 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.

- Page on-call security engineers immediately for critical severity HackerOne reports
- Suppress noise by batching low-severity notifications into digest messages
- Route alerts to program-specific channels based on asset type or business unit

## Templates

### 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.

Connectors used: HackerOne, Jira, Slack

### 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.

Connectors used: HackerOne, PagerDuty, Slack

### 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.

Connectors used: HackerOne, Google Sheets, Gmail

### 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.

Connectors used: HackerOne, ServiceNow, Slack

### 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.

Connectors used: HackerOne, OpenAI, Jira, Slack

### 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.

Connectors used: HackerOne, NetSuite, Google Sheets, Gmail

## Challenges Tray.ai solves

### 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 helps:** 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.

### 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 helps:** 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.

### 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 helps:** 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.

### 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 helps:** 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.

### 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 helps:** 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.

## Agent features

### Fetch Vulnerability Reports (Data Source)

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.

### Look Up Program Details (Data Source)

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.

### Query Report Triage Status (Data Source)

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.

### Retrieve Hacker Activity and Reputation (Data Source)

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.

### List Program Weaknesses and CVE Data (Data Source)

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.

### Update Report State (Agent Tool)

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.

### Add Comments to Reports (Agent Tool)

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.

### Assign Reports to Team Members (Agent Tool)

Assign incoming vulnerability reports to the right security engineer or team. Agents can route reports automatically based on affected asset, severity, or weakness type.

### Award Bounties and Swag (Agent Tool)

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.

### Create and Update Structured Program Scope (Agent Tool)

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.

### Sync Reports to Issue Trackers (Agent Tool)

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.

### Generate Vulnerability Summary Reports (Data Source)

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.

## Learn more

- Intelligent Integration: https://tray.ai/platform/intelligent-ipaas/
- Merlin Agent Builder: https://tray.ai/platform/merlin-agent-builder/
- Agent Gateway for MCP: https://tray.ai/platform/agent-gateway/
- Book a demo: https://tray.ai/contact/