Veribee provides a source‑code security platform that combines static analysis with machine‑learning‑based vulnerability scoring to verify code and reduce false positives. It integrates with GitHub, GitLab, CI/CD tools and offers SOC‑2‑style compliance reports, remediation guidance, and role‑based access via a secure API and dashboard. The solution supports on‑premise and cloud deployments for DevSecOps teams in regulated enterprises.
Funding
Funding not disclosed
Founders
Product
Problem
Software development teams often rely on static analysis tools that generate high volumes of false positives and require manual triage, slowing release cycles and leaving critical vulnerabilities undetected. Integrating security scans into existing CI/CD pipelines can be cumbersome, especially for organizations that need flexible deployment options across on‑premise and cloud environments.
Solution
Veribee delivers a triple‑lock source‑code security platform that combines deep static analysis with machine‑learning‑driven vulnerability detection to provide provably verified code. The solution plugs directly into developers’ workflows via native integrations with GitHub, GitLab, Jira, Slack, and standard CI/CD systems, supporting both on‑premise and cloud deployments. By dramatically reducing false‑positive rates, Veribee generates SOC‑2‑style compliance reports and actionable remediation guidance without interrupting the development process. Security and engineering teams can access findings through a secure API or web dashboard, enabling continuous risk assessment and automated policy enforcement across the entire codebase. The platform’s role‑based access controls and end‑to‑end encryption ensure that sensitive code and vulnerability data remain protected throughout the analysis lifecycle.
Target Audience
The primary customers are DevSecOps teams, security engineers, and software development organizations in mid‑size to large enterprises that require continuous, high‑assurance code security within regulated or high‑risk environments.
Features
- Triple‑lock analysis engine that fuses static code analysis with ML‑based vulnerability scoring for provable code verification
- Seamless CI/CD integration with GitHub, GitLab, Jenkins, Azure DevOps, and support for on‑premise or cloud deployment models
- False‑positive reduction technology delivering up to 90% fewer noisy alerts compared to conventional scanners
- SOC‑2‑style compliance reporting and automated remediation suggestions delivered via API and interactive web dashboard
- Real‑time notifications and collaboration hooks for Jira and Slack to streamline issue tracking and developer response
- Role‑based access control and end‑to‑end encryption to safeguard code assets and vulnerability data
- Extensible SDK and RESTful API for custom policy enforcement and integration with enterprise security tooling