Build secure.By design.From day zero.

Continuous product security, built into how you ship from day zero.Every change modeled, every fix verified.

Partners

Where product security breaks today

Most flaws are decided at design. Most teams find them in production.

Scanners read code. Design flaws live in tickets, docs and diagrams, and by the time a pen test finds them the change has shipped. No security team can model every change by hand, so most changes are never modeled at all.

50%

of vulnerabilities are design flaws. No scanner will ever catch them.

30x

more expensive to fix a flaw in production than at design time.

1:140

security to developer ratio. Manual review cannot keep up.

Continuous product security

Continuous product security runs on context.
Reykur builds it for you.

Continuous product security means risk is identified, decided and verified as the product changes, not reviewed at a milestone. Everything you build becomes part of one security context: what you run, what it touches, what can go wrong and what you have done about it. Each change, whether a story in the tracker, a design on the canvas, a coding agent's plan or a pull request, updates the threat model, and the controls it raises are set where engineers work and verified when the code lands.

No security team? Reykur does the security work for you, so your team operates like it has one.

A security team stretched thin? Coverage scales with everything you ship, and your experts go where the context says the risk is real.

How continuous threat modeling works

Tracker

Canvas

Code

Agents

PRs

One security contextthreats · controls · decisions

Flaws caught at design

One current picture of risk

Proof, before anyone asks

01 · Map

Every system, understood

A threat model in minutes from a photo, a doc or a template. Each one teaches Reykur what you run, what it touches and where it is exposed.

02 · Decide

Every risk, a deliberate call

Threats arrive scoped to your app and your appetite, with the reasoning attached. Fix, prioritize or accept, and the call is on record.

03 · Scale

Every team, moving faster

Requirements land in tickets on their own. Agent plans and pull requests get checked. Each shipped feature sharpens the context for the next.

First model

Minutes, not weeks

Start from a doc, a diagram photo or a template. You have a working threat model before the kickoff meeting ends.

Coverage

Continuous, not periodic

The model updates with every story, design and pull request. Nothing goes stale.

Visibility

One live picture of risk

Threats, controls and accepted risks across every service, in a single view that is always current.

Audit

Evidence before anyone asks

Every threat, control and decision is on record as it happens. Audit prep stops being a project.

Engineers

No new tool, no new meeting

Requirements land in tickets, agent plans and pull requests. Security shows up where the work already happens.

Scale

Coverage grows, headcount doesn't

Add a reviewer's worth of coverage with every team you add, without hiring one.

Security that scales as fast as your products do.

What continuous context does for the whole team, from the first model to the next audit.

For every team

Bridge the gap between security teams

Security insight that fits naturally into every workflow.

For Security Teams

See everything.
Review what matters.

Reykur models everything engineering builds, as they build it. The routine closes itself, and your attention goes to the few changes that actually move risk.

A live picture of what engineering is shipping, with every change modeled as it lands.
Data flows, third parties and trust boundaries tracked continuously across every service.
Risk does the ranking, so a small team covers a growing portfolio without drowning in review.
Clear calls on where deeper review is worth your team’s time, and where it isn’t.

Security posture38 services · live

Portfolio risk

4.9▼1.3 this qtr

Highest risk right now

payments8.8

identity7.1

data-plat4.6

internal1.8

In development right now47 features modeled

Bulk data export API8.8Manual threat model

paymentscard data crosses your boundary for the first time

SSO rework7.1Pentest recommended

identityauth flow changed, trust boundary moved

Event stream v24.6Controls in ticket

data-platuser IDs added, controls already proposed

44 more features, low risk modeled & closed

Reykur models every feature as it’s built and tells you where manual depth is worth it.

How It Works

From code change to audit evidence, continuously

Connect

Plug into what you already have

Repos, trackers, design docs, IaC, coding agent plans. Nothing to deploy, and no diagram to draw first.

7 sources connected

Source codeGitHubGitLabJiraLinearConfluenceTerraformAgent plans

Model

A living model of your system

Data flows, trust boundaries and threats derived from every change, each risk scored 0 to 10. No workshop needed to get started.

Guide

Guidance in the flow of work

Requirements as acceptance criteria, constraints injected into coding agent plans, checks on every PR. Engineers never leave their tools.

Scope check before returning user dataticket

No card data outside payments boundaryplan.md

RPR #3421 checked against both, one nudge inline

Prove

Evidence, collected as you go

Coverage, risk trend and audit-ready evidence for the frameworks you report against, assembled from work that already happened.

Portfolio risk · 12 weeks▼ 1.3

SOC 2ISO 27001NIS2audit pack ready

Every change runs the loop again. The model stays current.

Get early access

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