Build secure.
By design.
From day zero.

Reykur embeds threat modeling into your SDLC. Connect your existing artifacts (tickets, docs, IaC, and code) and get continuous security insight that catches flaws before they ship.

Be the first in line
Reykur — Continuous Product Security01 · Ingest
Listening for new stories…
Linear · Identity team
ENG-2481New story
authfeature5 pts
Story read automatically
Queued for modeling
reads from Linear · Jira — no new tool, no extra step
50%
of vulnerabilities start as design flaws that no scanner will ever catch
30x
more expensive to fix flaws in production versus catching them at design
1:140
security to developer ratio makes manual review impossible to scale
<6mo
to get return on investment when security is embedded early in development
Live System

One model. Every service. Always current.

Reykur builds a continuous map of your architecture and the risks moving through it. Click any service to inspect what's there.

app.reykur.io/data-flow
Data Flow Diagram
auto-synced · 3s ago
PROD · TRUST BOUNDARYweb-appPROCESS2.6apiPROCESS5.8workerPROCESS3.8cacheDATA STORE3.2databaseDATA STORE7.4logsENTITY2.0
6 services13 threats25 controlsClick a service to inspect →
What Changes

From ad-hoc snapshot to continuous reality

Threat modeling that updates with your system, not against it.

Before ReykurManual, periodic, partial
Threat model freshness90 days
Coverage across services12 of 142
Time to first finding~3 weeks
Audit prep cycle2-3 sprints
Engineering disruptionHigh
With ReykurAutomatic, continuous, complete
Threat model freshnessReal-time
Coverage across services142 of 142
Time to first findingUnder 5 min
Audit prep cycleAlways-on
Engineering disruptionInline only
For every team

Bridge the gap between security teams

Security insight that fits naturally into every workflow.

For Security Teams

Threat models
from ticket to deploy.

Reykur threat models work at the user story level, before code is written. PRs are then reviewed for control implementation and security regressions, and DFDs stay current as the system evolves.

  • Threat models generated from tickets and user stories, before any code is written.
  • Continuous coverage with full support for traditional workshops when teams prefer them.
  • DFDs maintained automatically as the system evolves, with manual edits when you need them.
Control coverageVerified across services
86%coverage
7gaps
AuthN
AuthZ
Encrypt
Logging
Input val.
api-gateway
auth-service
pii-store
analytics
orders-svc
events-bus
CoveredPartialGap
How It Works

A continuous loop, not an ad-hoc review

01
02
03
01

Connect what you already have

Tickets, ADRs, IaC, repos, diagrams. We meet your stack where it lives.

GitHubGitLabLinearJiraTerraformConfluence

Get early access

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