← Back to Discover

HackerOne Code

Code security service that checks commits and pull requests with static analysis, dependency analysis and reasoning models, has people confirm what is exploitable, and delivers fix guidance to developers.

Code review
Visit website ↗

What it does

H1 Code is HackerOne's code security product, aimed at teams whose developers use AI to write code. It combines a group of specialised AI agents with human security experts to find, validate and help fix vulnerabilities in a codebase. Detection runs on commits and pull requests. The agents use traditional static application security testing (SAST) and software composition analysis (SCA) together with reasoning models, with an option to use frontier cyber AI models for deeper analysis. They then weigh code logic, architecture and data flows to cut noise, and a human-in-the-loop step confirms critical issues and ranks them by exploitability and business impact. Complex cases are escalated to expert review. Fix guidance is tailored to the codebase, frameworks and a team's coding style, and is delivered in GitHub, GitLab, Bitbucket and Azure DevOps. The product has memory that adapts to pull request patterns, reviews and remediation decisions, and the site says it covers all major programming languages and frameworks. Pricing is not shown; visitors are invited to get started or speak with a security expert.

Capabilities

  • Finds vulnerabilities in commits and pull requests using SAST, SCA and reasoning models
  • Optional frontier cyber AI models for deeper analysis
  • Context-aware triage to cut noise
  • Human-in-the-loop validation, ranked by exploitability and business impact
  • Fixes tailored to your code, delivered in GitHub, GitLab, Bitbucket and Azure DevOps
  • Memory that adapts to team feedback and remediation decisions

When to use it

  • Securing code that is increasingly written with AI assistance
  • Triage when scanner output is noisy and you need to know what is exploitable
  • Teams that want expert review for hard vulnerabilities while automating the rest