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Concept · Premarket

# Threat Modeling for Medical Devices

This guide provides actionable tips for medical device manufacturers to perform threat modeling that meets FDA expectations and ensures the cybersecurity of their devices across the entire product lifecycle. 

For:  Medical device manufacturers, regulatory, quality, and engineering teams.  7 min read Last updated Jul 10, 2026· 1mo ago  Print

By [Christian Espinosa](/authors/christian-espinosa) · Reviewed by MedTech Cyber Tips Editorial Team · Last reviewed July 2026 

STRIDE for medical devices

### Six threat categories, mapped to real-world device risk

Select a letter on the wheel to jump to its MedTech example.

-   S Spoofing 
    
    Forging a clinician identity to a connected pump.
    
-   T Tampering 
    
    Altering pacing parameters on an implantable device.
    
-   R Repudiation 
    
    Removing audit traces of an unauthorized firmware push.
    
-   I Information disclosure 
    
    PHI leak from an unsecured DICOM share.
    
-   D Denial of service 
    
    Ransomware locks the imaging fleet mid-care.
    
-   E Elevation of privilege 
    
    Service-mode menu reached without authentication.
    

12 structured tips

Checklist mode

## The walk-through

01

Documentation

### Explain System and Identify Threats

Copy link 

A comprehensive threat model must clearly describe the medical device system and identify potential threats throughout its entire lifecycle, from concept to postmarket. 

02

Process

### Address Incomplete Threat Modeling

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Ensure your threat model covers all critical aspects like assets, trust boundaries, update mechanisms, and clinical workflows to avoid gaps that could compromise patient safety or lead to reviewer concerns. 

03

Documentation

### Provide Compliant Documentation

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Beyond engineering diagrams, your documentation should satisfy FDA expectations by detailing security architecture, assumptions, residual risks, and clear traceability of controls to patient safety. 

04

Strategic

### Connect Threats to Patient Safety

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Link identified threats directly to potential impacts on patient safety, including compromise of device availability, therapy delivery, diagnostic integrity, or multi-patient safety. 

05

Compliance

### Align with Key Compliance Standards

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Ensure your threat model and report align with FDA 2026 Guidance, AAMI [TIR57](/glossary/tir57), [ISO 14971](/glossary/iso-14971), [IEC 62304](/glossary/iec-62304), and other relevant medical device cybersecurity standards. 

06

Documentation

### Focus on FDA-Ready Documentation

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Develop submission-focused documentation tailored to the latest FDA cybersecurity guidance and reviewer expectations to avoid rewrites and streamline the submission process. 

07

Strategic

### Incorporate Security and Safety Risk Logic

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Connect threats to exploitability, true residual risk, safety impact, and foreseeable misuse, not just traditional confidentiality concerns. 

08

Technical

### Build Comprehensive Architecture Views

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Include views for the global system (device, cloud, networks), multi-patient harm scenarios, patchability (update paths, authenticity), and specific security use cases (programming, alarming, therapy delivery). 

09

Technical

### Integrate Supply Chain Risk

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Utilize [SBOM](/glossary/sbom)\-informed threats, assess third-party software risks, and identify end-of-support assumptions and supplier-control gaps within your threat model. 

10

Process

### Ensure Risk Traceability

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Map threats to controls, cybersecurity risk assessments, testing evidence, residual risk, and relevant safety files for a complete and traceable risk story. 

11

Process

### STRIDE Per Interface

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Apply [STRIDE](/glossary/stride) (Spoofing, Tampering, Repudiation, Info disclosure, DoS, Elevation) to each external interface separately — Wi-Fi, Bluetooth, USB, serial, cloud API, service port. A single device-level STRIDE table is too coarse for reviewers under the Feb 2026 guidance. 

12

Process

### Include Misuse and Abuse Cases

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Beyond STRIDE, document misuse cases (legitimate features used incorrectly) and abuse cases (malicious actors chaining features). For AI/ML devices, add adversarial ML abuse cases: evasion, poisoning, model inversion, membership inference. 

### Common pitfalls

-   Missing assets, trust boundaries, update paths, or clinical workflows can lead to incomplete threat models that fail to satisfy FDA reviewers and may compromise patient safety. 
-   Relying solely on engineering diagrams for documentation, without clear narratives on security architecture, assumptions, residual risk, and control traceability, will not meet FDA expectations. 
-   Generic cyber risk workshops, which do not specifically address medical device safety and effectiveness, will likely miss critical aspects that FDA reviewers care about. 
-   Overlooking threats related to device availability, therapy delivery, diagnostic integrity, or multi-patient safety can increase patient risk. 
-   Failing to align threat models with recognized medical device compliance standards such as FDA 2026 Guidance, AAMI TIR57, and ISO 14971 will result in non-compliant documentation. 

### Your next steps

1.  1 Conduct a discovery session to align on your device's specifics, intended use, submission path, and existing cybersecurity evidence. 
2.  2 Perform an architecture intake to thoroughly map assets, interfaces, trust boundaries, data flows, users, clinical states, update paths, and operating environments. 
3.  3 Facilitate a threat modeling workshop with clinical, engineering, quality, and regulatory teams to gather input on threats, assumptions, misuse cases, controls, and safety impact. 
4.  4 Develop an FDA-ready package including diagrams, rationale, risk traceability, mitigation recommendations, and submission-ready narrative support. 

### Sources & references

Authoritative guidance and standards underpinning this topic. Always confirm the latest revision with the publisher.

-   MITRE / MDIC [Playbook for Threat Modeling Medical Devices](https://www.mitre.org/news-insights/publication/playbook-threat-modeling-medical-devices)
-   Microsoft [STRIDE Threat Model](https://learn.microsoft.com/en-us/azure/security/develop/threat-modeling-tool-threats)
-   ISO [ISO 14971 - Application of risk management to medical devices](https://www.iso.org/standard/72704.html)

## Frequently asked questions

Quick answers to the questions teams most often ask about this topic.

### What is threat modeling for medical devices? 

Threat modeling is a structured analysis of how a device could be attacked, what could go wrong, and what mitigations reduce the risk. For medical devices, it must link cybersecurity threats to patient-safety consequences and inform both design and testing.

### Which threat modeling methodology should we use? 

STRIDE is the most widely used and the one FDA reviewers most often see. LINDDUN (privacy) and PASTA (business-risk-driven) are useful complements. The FDA does not mandate a specific methodology, but expects the model to be systematic, documented, and traceable to controls.

### Do we have to threat-model every interface separately? 

Yes. Each interface (network, Bluetooth, USB, service port, cloud API) has its own trust boundary and attack surface. A single site-wide threat model that lumps interfaces together will draw FDA questions.

### How does threat modeling connect to risk management under ISO 14971? 

Cybersecurity threats are inputs into your ISO 14971 risk management file. Each threat maps to one or more hazardous situations with potential patient harm, and each mitigation becomes a risk control that must be verified.

### When should threat modeling be done in the product lifecycle? 

Start in design (before hardware freeze), refresh at every major architectural change, and update on every material change to interfaces, dependencies, or clinical workflow. It is not a one-time submission artifact.

Sponsored | how Blue Goat Cyber℠ helps

### Get a defensible threat model

Blue Goat Cyber℠ produces FDA-aligned threat models (STRIDE, attack trees, data flow) that map cleanly to your risk file and submission.

[Request a threat modeling engagement](https://go.bluegoatcyber.com/meetings/blue-goat-cyber/discovery-session)

4.9 / 5 · 15+ client reviews 

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Michael Phillips 

250+ FDA submissions · 0 rejections Veteran-owned, Scottsdale AZ Exclusively medical device cybersecurity 

On this page

7 min read

-   [01 · Explain System and Identify Threats](#tip-0)
-   [02 · Address Incomplete Threat Modeling](#tip-1)
-   [03 · Provide Compliant Documentation](#tip-2)
-   [04 · Connect Threats to Patient Safety](#tip-3)
-   [05 · Align with Key Compliance Standards](#tip-4)
-   [06 · Focus on FDA-Ready Documentation](#tip-5)
-   [07 · Incorporate Security and Safety Risk Logic](#tip-6)
-   [08 · Build Comprehensive Architecture Views](#tip-7)
-   [09 · Integrate Supply Chain Risk](#tip-8)
-   [10 · Ensure Risk Traceability](#tip-9)
-   [11 · STRIDE Per Interface](#tip-10)
-   [12 · Include Misuse and Abuse Cases](#tip-11)
-   [Common pitfalls](#pitfalls)
-   [Your next steps](#next-steps)
-   [FAQ](#faq)

Deep dive

Hands-on help from Blue Goat Cyber

The team behind this guide ships the work - read the canonical service page.

[Visit on bluegoatcyber.com](https://bluegoatcyber.com/services/threat-modeling-services)

Keep going

### Related topics

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Overview

Start here. The big picture for MedTech security.

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Why It Matters

The case for taking cybersecurity seriously: patients, brand, and revenue.

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SPDF

Bake security into every stage of the device lifecycle.

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Continue by phase

Jump to all guides for the lifecycle phase that fits where you are.

[Concept](/journey/concept) [Premarket](/journey/premarket)

Related follow-ups for Threat Modeling

[Glossary 

SBOM - Software Bill of Materials

Turn each threat-modeled component into a tracked SBOM entry the FDA can audit.



](/glossary/sbom)[Glossary 

VEX - Vulnerability Exploitability eXchange

Publish exploitability status for CVEs surfaced by your STRIDE analysis.



](/glossary/vex)[Topic 

Penetration testing scope

Feed threat-model outputs into a pentest scope reviewers will accept.



](/topics/pentesting)[Topic 

Premarket submission anatomy

Map each identified threat to the Section 524B submission artifact it belongs in.



](/topics/premarket)

[All topics](/topics)[

Next in Concept

AI/ML Devices

Adversarial ML, model integrity, PCCPs, and the security surface unique to learning-enabled devices.



](/topics/aiml)

MedTech Cyber Tips

The organized, end-to-end guide to medical device cybersecurity, from concept through postmarket. Part of the Blue Goat Cyber family.

Topics

-   [Overview](/topics/home)
-   [Why It Matters](/topics/why)
-   [SPDF](/topics/spdf)
-   [Threat Modeling](/topics/threatmodel)
-   [Pentesting](/topics/pentesting)

Reference

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-   [FDA vs MDR](/compare)
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