Continuous find-and-fix
Runs continuous find-and-fix research against code and agents, keeping security checks active rather than one-time.
Superagent
ClaimSuperagent is an AI security product for code and agents that continuously finds and patches vulnerabilities, with fixes sent as pull requests. Free for public GitHub repos.
Overview
Superagent is a security product for code and AI agents. It is described on the site as an AI security team that finds, patches, and discloses vulnerabilities, with every fix delivered as a pull request for human review. The product is aimed at teams that want continuous security work instead of one-off scanning.
The homepage says Superagent runs continuous find-and-fix on repositories, agents, and apps, and can hook into CI/CD without introducing new tooling. It is positioned to cut through noisy findings by triaging reports and surfacing real exploit paths, while keeping humans in the loop on remediation and disclosure.
The product site also separates its offer into public and private usage. Public GitHub repositories are listed as free, while private repositories and teams are offered a custom plan with deeper vulnerability research, triage, and managed security support.
Core capabilities
Patch delivery as PRs
Turns findings into pull requests so teams review and approve concrete remediation work instead of raw alerts.
Exploit-path triage
Triage incoming findings to reduce noise and surface real exploit paths, which the site calls out as a response to 'slop reports.'
Fits existing workflows
Hooks into CI/CD and can run on every PR, nightly, or at release time without introducing new tooling.
Applies across code and agent surfaces
Supports repositories, agents, and apps, with customer stories showing use on open source secrets management and AI feature safety.
Public and private plan split
Offers a public-repo free tier and a custom private plan, with public GitHub repositories getting vulnerability finding and patching, contributor trust scoring, report triage and deduplication, and supply-chain/build-pipeline protection.
Common use cases
Continuously secure a repository
Use Superagent to run ongoing adversarial testing on a codebase so vulnerabilities are found and patched before disclosure or exploitation.
Guard AI feature inputs and fetches
Use it in front of AI-powered features that ingest files or fetch web content, so potentially malicious inputs are scored before they reach an agent.
Reduce finding noise
Use it to triage noisy security reports and focus on findings that map to realistic exploit paths instead of broad alert spam.
Embed security in CI/CD
Use it to keep security checks in the normal delivery pipeline by running on pull requests, nightly jobs, or releases.
Support open source maintainers
Use it for open source projects that need upstream patches and managed disclosure rather than a backlog of emails and untriaged reports.
Pros and Cons
Pros
- Continuous research rather than one-time scanning.
- Findings are delivered as reviewable pull requests.
- The product emphasizes exploit-path triage to reduce noise.
- It fits into existing CI/CD workflows and can run on PRs, nightly, or at release time.
- Public GitHub repositories are free.
Cons
- Pricing details for private teams are not published on the page, so buyers need to contact the company for specifics.
- The public site provides limited detail on integrations, deployment model, and setup beyond CI/CD and GitHub references.
FAQ
Who is Superagent for?
It is positioned for teams that want continuous security research on code and agents, including repositories, AI agents, apps, and open source projects. The site also emphasizes use by teams that want findings returned as reviewable patches rather than raw alerts.
How do teams get started with it?
The homepage says you can get started, book a call, or read customer stories. The customer story pages show the product being used for continuous testing and for securing AI features in existing development workflows.
What happens when Superagent finds a vulnerability?
According to the site, Superagent runs continuous find-and-fix, with humans in the loop. Findings arrive as pull requests that the team can review and approve.
Is it free?
The homepage says it is free for open source and the pricing section states that public GitHub repositories are free. Private repositories and teams are offered as a custom plan.
How is it different from security scanners?
Superagent says it differs from ordinary scanners by triaging incoming findings, surfacing real exploit paths, and shipping fixes as PRs rather than only reporting issues.
Quick Facts
- Category
- AI security / developer tool
- Website
- superagent.sh
- Primary users
- Engineering teams, security teams, and open source maintainers
- Workflow
- Continuous find-and-fix with PR-based remediation
- Pricing
- Free for public GitHub repositories; custom for private repos and teams
- Deployment surface
- Repos, agents, apps, and CI/CD