Threat modelling

Find the security issues that matter, at every stage of your system.

ThreatMind AI reads product requirements, user flows, architecture, and application logic in one shared analysis — whether the system is still being designed, in active development, or already live. It separates risks supported by your evidence from items that still need confirmation, asks clarifying questions about the gaps, and updates the model as you answer.

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Planned, in build, or live Evidence-graded findings Built with your team

ThreatMind workspace

Pre-build risk analysisCheckout and refund design

Live context

ContextMapped

Threats12

Actions7

Analysis activityReviewing product requirementsMapping trust boundariesAsking clarifying questions

High-signal findingApproval logic allows refund escalation

High impactBusiness logicAction ready

Stage-aware risks for planned, in-build, and live systems Supported risks separated from items to confirm Clarifying questions that update the model as you answer

Security before implementation

Decide what needs protection before code makes it expensive.

ThreatMind AI reasons about intended behavior, user journeys, trust boundaries, and business consequences to reveal the issues traditional scanners cannot see.

Requirements and business risk

Review BRDs, PRDs, epics, and user stories to identify high-impact abuse cases and missing requirements before implementation begins.

Architecture and trust boundaries

Examine architecture and infrastructure for exposed surfaces, weak trust boundaries, and dangerous assumptions. ThreatMind reads draw.io diagrams direction-aware, so data flows reflect what the diagram actually says instead of guessing one-way traffic.

User journeys and application logic

Trace roles, state changes, and edge cases to uncover logic flaws and unintended journeys before they are encoded into the product.

Stage-aware analysis

Tell ThreatMind whether the system is planned, being built, or already live. Risks, wording, and next steps are framed for that stage — design decisions before implementation, checks to complete before release, or confirmations for a live service.

Evidence-graded findings

Risks supported by your supplied information are clearly separated from conditional items that depend on an unverified control. Every conditional item carries one clear verification question — nothing unverified is presented as confirmed.

Clarifying questions

ThreatMind asks targeted questions about the gaps it finds. Answer what you know and it updates the system model, re-grades the affected risks, and keeps unanswered questions open — with the full clarification history preserved.

Shared security decisions

Give product, engineering, architecture, infrastructure, and security teams the same prioritized threats, recommendations, and ownership.

A shared threat model

Bring the people who understand the product into the security conversation.

The best threat models combine product intent, engineering detail, infrastructure reality, and security judgment. ThreatMind gives every role one place to contribute.

Product owners and product managers

Explain the customer journey, intended behavior, business priorities, and the consequences when a workflow is abused.

Developers and engineering leads

Contribute implementation constraints, application logic, data flows, and the practical path from recommendation to delivery.

DevOps, infrastructure engineers, and solutions architects

Map services, integrations, trust boundaries, deployment assumptions, identities, and infrastructure exposure.

Security and DevSecOps engineers

Guide abuse-case analysis, challenge assumptions, prioritize meaningful risk, and help teams choose proportionate controls.

How it works

From product context to security action.

A deliberate workflow keeps the scope, evidence, and next step connected.

Align the people and context

Bring together the product owner, PM, engineers, architects, infrastructure, DevOps, and security context that explains what is being designed.

Model what could go wrong

ThreatMind reviews business risk, architecture, user journeys, and application logic to produce contextual abuse paths and threats.

Answer, refine, and deliver

Agree on the issues that matter, answer the clarifying questions ThreatMind raises, assign owners, and send recommendations into Jira, Asana, or Linear. Export the threat model as PDF, Markdown, or HTML.

Evidence to action

Security decisions the whole delivery team can use.

ThreatMind preserves the product context, participants, prioritized threats, recommendations, and decisions so the model guides implementation instead of ending with the workshop.

Threats ranked by business and technical impact
Supported risks separated from items to confirm, each with a verification question
Clarification history preserved across every model update
Clear owners across product, engineering, infrastructure, and security
Jira, Asana, and Linear delivery workflows
Threat model exports as PDF, Markdown, or HTML