AI & Machine Learning Operationalization (MLOps) Software
DevArmor is building AI agents that automate manual security reviews and threat modeling. Just as Vanta streamlined slow and costly compliance management, DevArmor automates security reviews. DevArmor seamlessly integrates real-time, high-fidelity security reviews informed by threat models into development workflows. While other solutions focus on known code vulnerabilities, DevArmor extracts business logic and security patterns before any code is written. By integrating with developer platforms such as Jira, Notion, Vanta, Drata, AWS, and Terraform, DevArmor processes design docs, policy docs, and compliance requirements to generate structured threat modeling. It also validates design implementation by integrating with source code management platforms like GitHub and GitLab. Through workflow integration, real-time feedback, and enforcement, DevArmor: - Reduces security backlog by 80% - Saves security teams 30% of their time - Accelerates software releases by 3 months
- Revenue
- $770K
- Customers
- -
- Year founded
- -
- Funding
- -
- Team size
- 7
- Location
- United States
