Continuous Threat Modeling
Threat modeling that never goes stale
Continuous threat modeling re-evaluates your security on every change — not once a year. Virantis does it automatically with agentic AI, running STRIDE and PASTA across the tools your teams already use.
Request Early AccessWhat is continuous threat modeling?
Continuous threat modeling is the practice of re-evaluating a system's threat model every time the system changes, instead of producing a single model during a design review. Where classic threat modeling treats security analysis as a milestone, the continuous approach treats it as a living process that keeps pace with development.
The idea is simple: software changes constantly, and every change can introduce new attack surface, new data flows, or new trust boundaries. If your threat model is only produced once, it starts drifting away from reality the moment the next change ships. Continuous threat modeling closes that gap by tying analysis to change events rather than the calendar.
Why point-in-time threat modeling can't keep up
Models go stale fast
A threat model produced at design time is outdated by the next sprint. Manual reviews can't re-run on every pull request.
Security becomes a bottleneck
When every change needs a manual review, app teams wait days — and start routing around the process entirely.
Changes slip through unanalyzed
Without automated change detection, architecture changes ship without threat analysis, leaving silent security gaps.
How Virantis makes threat modeling continuous
An autonomous agent runs the full loop — so continuous coverage doesn't mean continuous manual work.
Detect change across your whole stack
Virantis monitors code, tickets, and docs — merged PRs in Git, new tickets in Jira, change requests in ServiceNow, and design updates in Confluence — to spot what changed.
Decide when a threat model is needed
The agent evaluates each change and decides autonomously whether it warrants analysis, so trivial edits are ignored and risky changes are caught.
Run STRIDE & PASTA automatically
When triggered, Virantis executes both STRIDE and PASTA analysis on the change — no diagrams to draw, no in-house threat modeler required.
Resolve with your engineers
The agent asks developers targeted clarifying questions and delivers prioritized, actionable findings right in Slack and Jira.
Continuous vs. point-in-time threat modeling
| Point-in-time | Continuous (Virantis) | |
|---|---|---|
| Cadence | Once at design time | Every meaningful change |
| Trigger | Manual, scheduled review | Automatic change detection |
| Effort | Days of expert work | Zero manual effort |
| Coverage | Decays between reviews | Stays in sync with the system |
| Methodology | STRIDE or PASTA, by hand | STRIDE & PASTA, agent-applied |
Continuous coverage across your stack
Virantis detects change signals wherever your teams work.
Continuous threat modeling FAQ
What is continuous threat modeling?
Continuous threat modeling is the practice of re-evaluating a system's threat model every time it changes, rather than producing a single model at design time. As code, tickets, and architecture evolve, the threat model is updated automatically so security analysis stays in sync with what's actually shipping.
How is it different from traditional threat modeling?
Traditional threat modeling is a point-in-time exercise: a team draws a diagram, identifies threats, and produces a report that starts going stale the moment the next pull request merges. Continuous threat modeling is event-driven and ongoing — every meaningful change triggers a fresh analysis, so coverage doesn't decay between reviews.
Does continuous threat modeling replace STRIDE or PASTA?
No. STRIDE and PASTA are methodologies for identifying and prioritizing threats; continuous threat modeling is about when and how often you apply them. Virantis runs both STRIDE and PASTA automatically on each change, so you get the rigor of established methodologies at the cadence of modern development.
What triggers a new threat model in Virantis?
Virantis watches for change signals across your tools — a merged pull request in Git, a new feature ticket in Jira, a change request in ServiceNow, or an updated design doc in Confluence — and decides autonomously when those changes warrant a fresh threat model.
Make your threat modeling continuous
Let an autonomous agent keep your threat model in sync with every change. Request early access to Virantis.
Request Early AccessRelated: automated threat modeling.