DevArmor integrates automated security reviews and threat modeling directly into the development workflow. It enforces security requirements during the design phase to prevent vulnerabilities before deployment. This process ensures every new feature is secured without introducing delays into the standard development cycle.
Funding
Funding not disclosed
Founders
Product
Problem
Software development teams often perform security reviews and threat modeling as manual, post‑development steps, leading to delayed releases, missed vulnerabilities, and inconsistent enforcement of security requirements.
Solution
DevArmor delivers an AI‑driven application security platform that automates threat modeling, design reviews, and security requirement enforcement directly within the development workflow. By embedding security agents into CI/CD pipelines, the system evaluates code and architecture as features are built, surfacing high‑risk issues in real time. The platform prioritizes findings based on exploitability and business impact, providing actionable remediation guidance without interrupting developers. All results are stored in a centralized, audit‑ready repository and can be exported to compliance dashboards or integrated with existing issue‑tracking tools. This approach enables teams to ship features faster while maintaining a consistent security posture and eliminating blind spots.
Target Audience
The primary customers are software engineering and DevOps teams, application security engineers, and product organizations that need to embed security checks into their continuous delivery pipelines at scale.
Features
- AI security agents that continuously analyze code, design artifacts, and configuration for known vulnerability patterns and architectural flaws
- Automated threat modeling that generates attack trees and risk scores as new components are introduced
- Real‑time enforcement of custom security policies with immediate feedback in pull‑request reviews
- Prioritization engine that ranks findings by CVSS severity, exploit likelihood, and business context
- Seamless integration with popular CI/CD platforms (GitHub Actions, GitLab CI, Jenkins, Azure DevOps) via native plugins and REST APIs
- Auto‑generated remediation suggestions and code snippets to accelerate fix implementation
- Centralized compliance reporting with exportable dashboards for standards such as OWASP ASVS, PCI DSS, and ISO 27001
- Secure, encrypted data handling with role‑based access controls and audit logs