HackerOne Code: Static Code Analysis and Security Platform
HackerOne Code helps software companies and enterprises identify security vulnerabilities during the development process. It is designed for teams that want to reduce false positives by having expert engineers validate AI findings.
At a glance
- Category
- Security
- Best for
- Software companies, Enterprise companies, Startups, Engineering managers
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- Pre-production Vulnerability Detection, Developer Security Enablement, Human-Led Code Audits, Scaling Security Resources
- Integrations
- GitHub, GitLab, BitBucket, Azure DevOps
- Official website
- pullrequest.com
HackerOne Code is a code security platform that integrates with source code management workflows. It uses a proprietary AI called Hai to identify high-risk code changes, which are then manually reviewed by vetted engineers before being reported to the development team.
The tool supports a range of users, from startups to enterprise companies. By combining automation with human oversight, the platform is designed to provide remediation guidance without adding irrelevant alerts to developer backlogs.
Buyers should note that this is a managed service involving human reviewers. It supports major programming languages and frameworks and integrates with common SCM tools to maintain security checks within the existing developer environment.
Interested buyers should confirm how the human-in-the-loop validation fits their specific release cycle and review available data hosting options, including the option for enterprise customers to store code on their own network and hardware.
Key Features
Expert engineers manually review AI-identified findings to help reduce false positives before they reach developers.
Proprietary AI used to identify high-risk code changes and filter out low-risk issues.
Provides developers with practical security knowledge and guidance within their existing tools.
Supports integration with GitHub, GitLab, BitBucket, and Azure DevOps.
Designed to work with major programming languages and frameworks.
Systems are hosted in ISO 27001 and FISMA certified AWS data centers.
Use Cases
Identifying security flaws in code changes before they are released to production.
Using expert feedback from reviews to help developers learn security best practices.
Securing a codebase through reviews performed by vetted security experts.
Using AI to filter noise so that human security resources can focus on critical vulnerabilities.
Best For
Integrations
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
It uses a human-in-the-loop approach where expert engineers manually review and validate findings identified by the Hai AI before they are presented to developers.
The solution integrates with GitHub, GitLab, BitBucket, and Azure DevOps.
Systems are hosted in ISO 27001 and FISMA certified data centers managed by AWS, and enterprise customers have the option to store code on their own hardware.
Source category: Security
Source subcategory: Static Code Analysis
