Threat Modeling

A strategic necessity for high-stakes European industries - finance, critical infrastructure, healthcare, and manufacturing.

Is this for you?

Do you need threat modeling?

A quick self-check. If several of these sound like you, it is worth a short conversation.

You likely need this if

  • You are designing or significantly changing a system, product or architecture
  • You want to find design-level risk before it is built and expensive to fix
  • You have complex trust boundaries, integrations or third-party components
  • You want to focus later testing where it matters most

Not sure where you land? A short scoping call will tell you plainly, including if you do not need this yet.

Book a scoping call
Service Overview

A strategic necessity, by design

Threat modeling operates upstream in the software development lifecycle, systematically identifying, analyzing, and prioritizing security threats before systems reach production. For high-stakes EU industries, this prevents the architectural vulnerabilities that would otherwise lead to costly breaches.

It maps data flows and system relationships before code is written - focusing on systemic architectural risk, not the isolated flaws found only after deployment.

Core Outcomes
Find flaws by design

Surface architectural risks at the design phase, before they are built into production.

Prioritize by real risk

Rank threats with structured methods so effort goes where business impact is highest.

Build in mitigations

Turn findings into concrete controls and architecture changes, validated against each threat.

Evidence for auditors

Produce documented threat models for GDPR Art. 25 DPIAs and NIS2/DORA demonstrations.

Why it matters

Specific attack vectors mitigated

Fixing these at design time is far cheaper - and far more effective - than discovering them in production.

Ransomware propagation pathways

Identify the lateral-movement and trust paths ransomware would use across your architecture.

Injection & API design flaws

Catch SQL injection design issues and man-in-the-middle risks in API communications before code is written.

Supply-chain compromise points

Map third-party and dependency trust relationships that introduce single points of failure.

AI-specific threats

Model training-data poisoning, adversarial examples, and prompt injection against AI components.

Process & Methodology

Practical threat modeling

Scope & Decompose

Map the system, data flows, trust boundaries, and assets across the architecture.

Identify & Assess Threats

Apply structured methods such as STRIDE and attack trees to enumerate and rate threats by risk.

Mitigate & Validate

Design controls and architecture changes, then validate they address each identified threat.

Document & Integrate

Produce audit-ready threat models and integrate analysis into the SDLC and CI/CD.

Key results

Every threat model ships with structured threat enumeration, impact assessments, and implemented mitigations - the evidence GDPR Art. 25 DPIAs and NIS2 demonstrations require.

Learn what's best for your company

Service Categories

Strategic recommendations

Where to start depends on your maturity, budget, and regulatory pressure.

Quick wins

Lightweight, entry-level threat models scoped to your highest-risk systems - fast value for constrained teams. Subsidized programs like EU CYSSME and SECURE grants can help fund them.

Compliance integration

Embed threat modeling into your SDLC and audit program to satisfy GDPR Article 25, NIS2, and DORA, with documentation auditors accept.

Business Rationale

Threat modeling applications

Fintech & Banking

The Problem: Payment and banking platforms face injection, API, and business-logic risks that are far cheaper to fix at design time than after a breach.

The Outcome: We model transaction flows, trust boundaries, and third-party dependencies to harden architecture and evidence DORA resilience.

Healthcare & MedTech

The Problem: Interoperable health systems and connected devices handle life-critical data across many integrations.

The Outcome: We map data flows and device trust boundaries to protect patient data and support GDPR and medical-device security obligations.

Critical Infrastructure

The Problem: OT-adjacent and essential-service systems can be compromised through design-level trust and access flaws.

The Outcome: We model segmentation, privileged paths, and supplier connections so weaknesses are fixed before they reach operations.

Reporting & Metrics

Reporting structure and metrics

Management Report

An executive overview of architectural risk, compliance alignment, and a prioritized roadmap for board review.

Technical Report

Structured threat enumeration with data flows, trust boundaries, risk ratings, and concrete mitigations per threat.

Key Performance Metrics

Threats identified per system, percentage mitigated at design, residual risk by severity, and coverage across critical data flows.

Secure your regulatory standing

Build the documented, design-level evidence that GDPR, NIS2, and DORA expect - and stop architectural risk before it ships. Get a scoped threat modeling proposal in less than 48 hours.

Compliance

Regulatory & compliance deep dive (EU focus)

Threat modeling is the design-level control that turns several EU obligations into demonstrable, documented evidence.

  • NIS2 Directive: Proportional security measures, with threat modeling as documented evidence of design-level risk management.

  • DORA (Art. 9): A structured methodology for ICT risk management and the resilience testing of critical dependencies.

  • GDPR (Art. 25): Security and data protection by design - threat models feed Data Protection Impact Assessments (DPIAs).

  • EU Cyber Resilience Act: Secure-by-design obligations for products with digital elements, evidenced from the architecture up.

FAQ

Threat modeling FAQ

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