FDA-compliant threat modeling for medical device submissions.
Reviewer-ready architecture views, trust boundaries, misuse cases, safety impact analysis, and risk traceability aligned with FDA premarket cybersecurity expectations.
250+ FDA submissions supported. No client has failed to clear due to cybersecurity.
- AAMI TIR57 / SW96
- ISO 14971 + IEC 62304
- Trust boundaries mapped
- Threat → Control → Test
- Reviewer-ready
- Free 30-min call
- No obligation
- Expert-led from minute one
- Fixed-fee quote in 24 hours
- NDA available on request
Trusted by leading MedTech companies
Why most threat modeling fails medical devices
Generic cyber risk workshops miss what FDA reviewers care about. A useful medical device threat model must explain the system, identify threats across the total product lifecycle, and show how controls protect safety and effectiveness.
Incomplete threat modeling
Missing assets, trust boundaries, update paths, or clinical workflows leave reviewers unable to trace cybersecurity risk to patient safety.
Non-compliant documentation
Engineering diagrams alone rarely satisfy FDA expectations for security architecture, assumptions, residual risk, and control traceability.
Increased patient risk
Overlooked threats can compromise device availability, therapy delivery, diagnostic integrity, or multi-patient safety.
Threat modeling built for medical devices
Generic IT threat models don't capture connected device safety risk. Here's what we model that most vendors can't translate into FDA-ready evidence.
Global system view
- Device, cloud, mobile apps, and update servers
- Hospital networks, home networks, and external services
- Users, clinicians, service techs, and admin roles
- Operating environments and assumed threat actors
Multi-patient harm view
- Simultaneous compromise across a fleet
- Shared infrastructure and tenancy risks
- Operational disruption affecting therapy delivery
- Safety impact analysis tied to ISO 14971
Patchability & lifecycle view
- End-to-end update paths and rollback protection
- Authenticity, signing, and key management
- Deployment assumptions and end-of-support
- SBOM-informed supply chain threats
Security use cases & states
- Programming, alarming, and therapy delivery
- Diagnostic reporting and data exchange
- Standby and state-transition behavior
- Foreseeable misuse and abuse cases
What a STRIDE / AAMI threat model covers
Threat models are scoped to the data flows and trust boundaries reviewers expect to see. Every element below is enumerated and each STRIDE category exercised against it before a control is proposed.
- 01External actors (clinician, patient, attacker, supply chain)
- 02Trust boundaries
- 03Data flows in / out of the device
- 04Process / component nodes
- 05Data stores (on-device + cloud)
- 06Update + key-management paths
- 07Closed-loop control surfaces
Layers shown outermost (top) to innermost (bottom). Dashed rows are part of the surrounding system but out of scope for this view.
Our process simplifies FDA clearance
A clear path from device architecture to a submission-ready threat model.
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01
1 · Discovery & scoping
30-minute call to understand your device, intended use, connectivity, submission path, and current cybersecurity evidence.
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02
2 · Architecture intake
We map assets, interfaces, trust boundaries, data flows, users, clinical states, update paths, and operating environments.
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03
3 · Threat modeling workshop
Clinical, engineering, quality, and regulatory teams align on threats, assumptions, misuse cases, controls, and safety impact.
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04
4 · FDA-ready package
You receive diagrams, rationale, risk traceability, mitigation recommendations, and submission-ready narrative support.
Reviewer-ready deliverables in one engagement
Every medical device threat modeling engagement ships with the artifacts FDA reviewers expect to see - traceable, complete, and aligned with current guidance.
- ANSI/AAMI SW96 + ISO 14971 alignment
- End-to-end medical device system coverage
- Threat-to-mitigation traceability
- Justified methodology and assumptions
Public premarket cybersecurity history
Recalls, CISA ICS-MA advisories, and disclosed research that shape what reviewers ask about - and what this engagement is built to cover.
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the FDA·2024-2026
Architecture View and STRIDE gap as recurring deficiency
CDRH deficiency letters in this period consistently call out threat models that fail to enumerate trust boundaries, miss the update channel as an element, or stop at network and ignore internal buses. The 2026 final guidance is more explicit on each.
"Blue Goat's knowledge of regulatory requirements versus cybersecurity challenges was highly valuable and readily apparent as we were guided by and worked alongside their team towards the development of a comprehensive and compliant cybersecurity plan for our new medical device. Especially helpful for our company as we are a startup. Their team and competencies nicely filled our resource needs. Thank you Blue Goat!"
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Resources on this topic
Curated reading for teams working on threat modeling - grouped by format so you can jump to what you need.
Guides
2Long-form reference reading - architecture, frameworks, and end-to-end how-tos.
Articles
1Shorter posts on the specific gotchas, deficiencies, and reviewer expectations we see most.
Try the free tool first.
Pressure-test the work yourself before you scope an engagement. No signup, results are yours to keep.
Questions medical device teams ask before threat modeling
Backed by MedTech leaders.
"Blue Goat Cyber's depth of expertise was impressive. We had no in-house cybersecurity experience, and their team guided us through every step of the FDA process. The penetration testing and SBOM testing were thorough and gave us complete confidence."
Medical Device Threat Modeling - scoped, fixed-fee, FDA-ready.
Reviewer-ready architecture views, trust boundaries, misuse cases, safety impact analysis, and risk traceability aligned with FDA premarket cybersecurity expectations.