Superagent helps developers make their AI apps safe.
We offer:
- Red team testing — specialized attack agents probe your production AI for data leaks, harmful outputs, and unwanted actions
- Structured reports with findings, evidence, and remediation guidance
- A Safety Page to prove it to your customers — use it in sales, procurement reviews, and security questionnaires
Built for companies selling AI into enterprises and regulated industries.
“Superagent pointed their agents at dotenvx. It chained vulnerabilities together the way a real attacker builds a kill chain and found exploit paths. It patched them. A week later, a threat intelligence scanner flagged the same vulnerability. By then it was already fixed. That's what a compressed time delta looks like.”
CustomerSuperagent customer
“it chained vulnerabilities together the way a real attacker builds a kill chain and found exploit paths. a week later, a threat intelligence scanner flagged the same vulnerability. by then it was already fixed.”
CustomerSuperagent customer
“i wish i could just let our agents run free and solve all our problems. but at what cost? superagent helps us sleep better at night.”
CustomerSuperagent customer
Superagent continuously tests dotenvx for exploit paths and supplies patches for maintainer review. The vendor-published story reports that fixes reach the upstream project before public disclosure, while the maintainer…
Capchase uses Superagent to classify incoming files and prompts and score outbound web fetches before they reach agents. The vendor-published story reports that middleware and lint rules enforce these checks across…
Launch of Kanban Triage and Qualifier Search for Security Findings
Superagent has introduced a new kanban-style interface for managing security findings, enabling teams to organize triage workflows by severity or repository. The update also includes expanded search functionality, supporting filtering by status, risk, source, and resolution to improve issue tracking and prioritization.