Reduce Application Risk by Design
AI-Powered Continuous Threat Modeling, Design Review, and Code Enforcement for Your Application Security Teams
Security Feedback, Built
Into Every Workflow.
For Humans or AI.
DevArmor connects to your issue tracker to analyze each ticket in context, adding tailored security recommendations and automatically generating controls, guardrails, and actionable tasks for both human developers and AI agents
Used by top engineering teams including Doma
Financial Services, FinTech, InsurTech, and similar fast-moving regulated industries face a near-impossible task: deliver new products fast to stay competitive, while meeting strict security and compliance requirements. DevArmor’s in-workflow design reviews solve this problem by giving developers the security context they need, right when they need it, without slowing them down. Amir and his team have been in the trenches of financial industry and cybersecurity, and it shows in the product: real-time feedback that helps development teams ship mission-critical apps faster and more securely.
Trusted by Top Leaders
Security reviews are one of the biggest bottlenecks at large, fast-moving companies, resulting in a loss of productivity and delays. DevArmor tackles this head-on with continuous threat modeling and real-time security reviews at the design phase
Security Design reviews are a critical component of a modern Appsec program. With DevArmor, Product Security teams can focus more of their effort on building paved path controls with a trusted copilot reducing design review overhead and accelerating actionable feedback at the speed of engineering, making product security teams a true velocity enabler
DevArmor is redefining how we build secure software. Instead of treating security as an afterthought, their platform bakes it into the earliest design decisions.
As attack patterns evolve and developer workflows shift, tying threat modeling and meaningful security design review to code review and secure change management lets teams move faster and use AI code generation with confidence. I’ve known the DevArmote team for some time and trust their read on where AppSec is going.
Great security is the result of a culture you build and reinforce over time. It’s not a gate. Tools like DevArmor allow security and engineering teams to partner up and move at the same speed. Try bringing design-time reviews into the workflow to help teams ship together faster.
CISOs are watching the security landscape change faster than ever. As AI begins to write more of our code, real risk reduction shifts to the design phase. I’ve also known the DevArmor team for years, and I believe they bring a unique approach to reducing application and product security risk from design through deploymentsing this CMS.
For global FinTech, the bar is speed with no surprises. DevArmor’s automated threat modeling and design reviews raise coverage while shrinking review latency, giving product and security teams a shared, repeatable way to ship safely.
AI is completely changing the AppSec landscape, and the developer experience along with it. The new frontier in security is the design phase, and without DevArmor, companies won’t be able to adopt AI safely.
Running engineering teams, I’ve seen the pressure to ship faster, especially with AI-assisted coding accelerating the pace. AI can supercharge productivity, but it also amplifies mistakes and security gaps. In this new world, guardrails aren’t optional anymore; they’re essential. DevArmor gives teams those guardrails in real time, at the design phase, where risk reduction actually sticks. That’s how AI becomes a competitive advantage instead of a liability
Model
Create structured, actionable threat models and generate concrete security requirements tied to risks and assets. Complete a threat model in minutes, not days.
Prioritize
Rank risks by context, including blast radius, reachability, privilege, compensating controls, and data sensitivity, so the remediation efforts align with business impact and SLAs
How it works
Fetch business context and design specs
automatically via safe, configurable integrations
Create threat model
and generate requirements
In less than 10 minutes
Enforce design controls and guardrails
automatically pushed to downstream tools
Rethink your AppSec playbook
Move past the old way of doing securityStill relying on consultants and workshops for threat modeling?
Workshops and consultants are great for learning, but they don’t scale with modern development. Your team needs security that moves at dev speed - built into your workflow, not bolted on
Break free from the alert fatigueDrowning in SAST false positives?
Traditional scanners drown teams in noise and dashboards but miss the real design risks. Modern security should surface what matters - not slow you down with endless alerts
Stop using tools built for 2010Tired of using legacy, slow, manual threat modeling tools?
Threat modeling shouldn’t feel like homework. Modern teams need simple, connected tools that fit into their workflow - not week-long training sessions.
Leave manual security behindOverwhelmed by running security through meetings and spreadsheets?
Security shouldn’t depend on how many syncs or spreadsheets your TPM can manage. It should flow naturally with development - automated, transparent, and built for how modern teams ship software.
From Manual Reviews to Continuous Security
Before
- Slow, inconsistent, incomplete security reviews.
- Late detection, leading to costly rework.
- Business logic vulnerabilities go un-detected by code scanners and ship to production.
- Outdated threat models cause security debt.
After
- Real-time, context-rich security feedback to developers, in their workflows.
- Continuous threat modeling eliminating classes of vulnerabilities at the design stage.
- Automated controls enforcement via code reviews.
Ready to Transform Your AppSec Program for the AI Era?
Schedule a Call with an Expert
Frequently asked questions
Fair question — and honestly, you can ask them for help. But generic LLMs don’t understand your system, your architecture, or your security goals. DevArmor is built specifically for product and application security — it knows how to interpret architecture, track changes, and keep context across reviews. Think of ChatGPT as a great brainstorm partner — and DevArmor as the structured, security-aware workflow that turns that brainstorm into something actionable, repeatable, and auditable.
That’s exactly why DevArmor was built differently. We don’t just let an LLM “guess.” Every analysis is grounded in your real system data, verified security patterns, and transparent reasoning you can inspect. You always see why something was flagged and can trace it back to your architecture. In short: DevArmor uses AI to accelerate security thinking — not replace it. The model assists, you decide.
DevArmor helps modern engineering teams build secure software without slowing down development. It brings security design, threat modeling, and secure architecture practices into the same workflows developers already use — no spreadsheets, no bottlenecks.
DevArmor is built for engineering and security leaders who want to embed security early in the software lifecycle. Whether you’re a startup scaling your AppSec program or an enterprise team shifting security left, DevArmor fits seamlessly into how your team ships code.
Most tools focus on scanning for issues after code is written. DevArmor focuses on design-level risks — the kind scanners miss. It helps teams model threats, prioritize what matters, and document security decisions directly in their dev workflow.
