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. Zero cybersecurity rejections.
- 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
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
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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.
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.

"The timeliness of this project exceeded my expectations - this was not my experience with other vendors. Blue Goat Cyber delivered a thorough, detailed report and complete testing faster than I anticipated, without compromising quality."
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.