Devici is a diagram-first, continuous threat modeling platform that helps security teams scale secure design across hundreds of applications. The collaborative canvas lets developers, champions, and AppSec teams map architecture, surface threats, and assign mitigations in real time as systems evolve. It supports nine-plus frameworks including STRIDE, LINDDUN, and MAESTRO, and can auto-generate initial models from GitHub repositories or plain-text descriptions.
- Artificial Intelligence
- Cybersecurity
- Developer Tools
- Enterprise Software
- Software Only
Funding
Founders
Product
Problem
Most organizations treat threat modeling as a one-time milestone performed before launch and revisited only after an incident, leaving security gaps as systems evolve. This snapshot approach forces AppSec teams to run every review by hand, creating bottlenecks and an inaccurate picture of risk across the application portfolio.
Solution
Devici provides a diagram-first, continuous threat modeling platform that keeps architecture diagrams alive as systems change. Teams draw or import their architecture, apply attributes to components, and immediately see relevant threats and mitigations from a curated library mapped to STRIDE and LINDDUN. As designs change, the model updates in context, allowing AppSec teams to shift from running centralized reviews to governing a program that sets standards, reviews exceptions, and maintains an accurate risk picture. The platform integrates with Jira, Azure DevOps, and SD Elements to push mitigations directly into the development backlog with status syncing back to the model.
Target Audience
Primary users are enterprise security teams in financial services, manufacturing, government, healthcare, and IT & software, including AppSec leaders, security architects, engineers, and DevSecOps platform teams scaling secure design across large application portfolios.
Features
- Collaborative canvas for drawing components, data flows, and trust boundaries with support for importing existing diagrams from OTM, Draw.io, and TM7
- AI-assisted model generation from plain-text descriptions or GitHub repositories via Code Genius
- Attribute-based threat mapping through the Devici Codex, eliminating rule-writing and tuning
- Support for 9+ threat modeling frameworks including STRIDE, LINDDUN, MAESTRO, and OT & IoT
- Bidirectional integrations with Jira and Azure DevOps for backlog push and status sync, plus handoff to SD Elements for prescriptive security requirements
- Continuous model updates that surface threats as design decisions are made, not after the fact