What is DevArmor?
DevArmor is a cutting-edge application security platform designed specifically for modern engineering and security teams. Instead of waiting until after the coding phase to uncover vulnerabilities, DevArmor takes a proactive stance by automating threat modeling and embedding secure-by-design practices within the software development process. This early intervention allows organizations to identify architectural and design-level risks sooner, making remediation both more economical and simpler to implement.
The platform is intentionally designed to integrate smoothly with engineers' existing workflows, ensuring that security is woven into the development lifecycle rather than being an obstacle encountered late in the process. Moreover, it offers security teams valuable insights into design vulnerabilities across various applications while empowering developers to make secure decisions without needing extensive security expertise. With a growing array of support for contemporary technology stacks, including AI-driven components, DevArmor not only enhances Application Security (AppSec) but also promotes DevSecOps and strengthens shift-left strategies throughout the software development lifecycle. In doing so, it significantly contributes to the creation of a safer software environment for all stakeholders involved.
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DevArmor Customer Reviews
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Threat modeling our team actually use
Date: Jul 01 2026SummaryDevArmor moved us from reactive scanning to actually designing securely up front! It helped us to change our approach to security and how we should implement that in the AI era.
PositiveDevArmor made threat modeling something our engineers actually do instead of avoid. Instead of a one-off exercise before a big release, it runs continuously as our architecture changes, so we catch design flaws while they're still cheap to fix. Setup was quicker than expected, and the fact that developers don't need to be security experts to use it has been huge for adoption on our team. The AI/agentic coverage was a deciding factor for us, it flagged trust-boundary and data-flow risks in our LLM features that our existing scanners completely missed.
NegativeThere's a learning curve in the first couple of weeks as you tune it to your stack and get the team into the habit. We have a list of integrations that we would love to see in the product.
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