Automated Threat Modeling
Threat modeling at the speed of your releases
Automated threat modeling uses AI to run STRIDE and PASTA on every change — no diagrams to draw, no security bottleneck. Virantis scales secure-by-design coverage across every release.
Request Early AccessWhat is automated threat modeling?
Automated threat modeling uses software — increasingly AI agents — to identify, analyze, and prioritize security threats with little or no manual effort. Rather than a security engineer hand-drawing data flow diagrams and working through a threat library, the tool ingests your system, applies a methodology such as STRIDE or PASTA, and returns actionable findings on its own.
The goal is to make threat modeling something that happens on every release instead of once a quarter. Manual threat modeling is thorough but slow; automation keeps the rigor while removing the effort, so security can finally move at the pace of modern development.
Why teams automate threat modeling
Manual modeling doesn't scale
Every feature and sprint needs analysis. No security team can hand-model every change — automation is the only way to keep up.
Coverage without the bottleneck
App teams stop waiting days for reviews. Automated analysis runs the moment a change lands, so security stops blocking delivery.
Consistent, repeatable rigor
Automation applies the same STRIDE and PASTA logic every time — no skipped steps, no reviewer fatigue, no gaps.
What Virantis automates
An agentic AI engine handles the entire threat modeling lifecycle.
Change detection
Monitors code, tickets, and docs to find changes that need threat modeling — across Git, Jira, ServiceNow, and Confluence.
Decision logic
Decides autonomously when a change actually warrants analysis, so noise is filtered and risk is caught.
STRIDE & PASTA execution
Runs both industry-standard methodologies automatically — no diagrams to draw, no threat library to curate.
Developer interaction
Asks app teams targeted clarifying questions in Slack and Jira to gather context and refine the model.
Prioritized reporting
Delivers ranked, actionable threat findings with clear remediation guidance — not a wall of noise.
Always-on coverage
Because it's automated, it runs continuously — turning threat modeling from a milestone into a habit.
Manual vs. automated threat modeling
| Manual | Automated (Virantis) | |
|---|---|---|
| Speed | Days per model | Minutes, on every change |
| Scalability | Limited by headcount | Scales across all releases |
| Expertise needed | Dedicated threat modeler | None — the agent runs it |
| Diagrams | Drawn by hand | Not required |
| Consistency | Varies by reviewer | Same rigor every time |
Choosing automated threat modeling software
Not all "automated" tools are equal — many still require you to draw a diagram before any automation kicks in. When evaluating automated threat modeling software, look for:
- ✓Automatic change detection, so nothing ships unanalyzed
- ✓Native support for STRIDE and PASTA methodologies
- ✓Integrations with Jira, Git, ServiceNow, Slack, and Confluence
- ✓Prioritized, actionable output — not raw threat dumps
- ✓No diagramming and no dedicated threat modeler required
Automates across your stack
Virantis plugs into the tools your teams already work in.
Automated threat modeling FAQ
What is automated threat modeling?
Automated threat modeling uses software — increasingly AI agents — to identify and analyze security threats with little or no manual effort. Instead of a security engineer hand-drawing diagrams and working through a threat library, the tool ingests your system, applies a methodology like STRIDE or PASTA, and produces prioritized findings automatically.
Can threat modeling really be fully automated?
Detection, methodology execution, and reporting can be automated end to end. The piece that still benefits from humans is context — the specific intent behind a design choice. Virantis handles this by having its agent ask developers targeted questions when needed, so automation covers the heavy lifting without losing accuracy.
What should I look for in automated threat modeling software?
Key criteria: automatic change detection (so nothing slips through), support for established methodologies (STRIDE and PASTA), integration with the tools your teams already use (Jira, Git, ServiceNow, Slack), actionable and prioritized output, and minimal setup — ideally no diagramming or dedicated threat modeler required.
Does automation replace my security team?
No — it removes the repetitive work so your security team can focus on judgment calls. Automated threat modeling scales coverage across every release, which is impossible to do manually, while your experts review the prioritized findings and handle the highest-risk decisions.
Automate your threat modeling
Let agentic AI run STRIDE and PASTA on every change. Request early access to Virantis.
Request Early AccessRelated: continuous threat modeling.