Whitepaper · 12 pages · October 2026

AI-Enabled Medical Device Cybersecurity Testing and Management for FDA Compliance.

Headed to FDA with an AI-enabled device? Here is what to test, and what to keep monitoring, so the cybersecurity section of the submission holds up.

  • The seven threats, mapped to the attack surface each one lives on
  • The premarket plan: a pipeline pentest, then thirty-seven technical tests
  • Five bounded exercises that run when the access exists
  • Postmarket surveillance under IEC PAS 63621:2026, and what to test underneath it
  • Ratings, VEX and the report a Section XII reviewer reads threat by threat
  • A checklist for premarket and postmarket
FDA 524BSection XIIIEC PAS 63621MDDT rubricVEX
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What is inside

Test the pipeline
as the product.

The premarket position in one picture: the pipeline environment first, then every attack surface, every test tied to a named FDA threat.

FIRST · PENETRATION TEST OF THE AI/ML PIPELINE ENVIRONMENTTraining serversaccess, jobs, credentialsModel registriesartifacts, versions, accessData storesdatabases, object stores, file systemsDeployment infrastructureserving path, CI/CD, secretsTRAINING DATADATA POISONINGMODEL BIASStores, ingestion, labelingunauthorized reads and writes, injection on ETL,batch integrity, annotation access, provenanceMODEL AND INFERENCEMODEL INVERSION OR STEALINGRegistry, artifacts, inference APIauth and access, excess disclosure, rate limits,enumeration, encryption at rest, serialized filesDEPLOYED DEVICE, RUNTIMEMODEL EVASIONThe inference path on the devicemalformed, corrupted and out-of-distribution inputs,boundary cases, preprocessing bypass, fail-safe, logsPIPELINE AND DEPLOYMENTDATA LEAKAGEWhat leaves the pipelineAPI responses, logs, telemetry and debug endpoints,encryption in transit and at rest, training remnantsTRAINING AND EVALUATIONOVERFITTINGEvaluation and validation infrastructureaccess to evaluation data, scripts and results,split and threshold tampering, duties, versioningPOSTMARKET MONITORINGPERFORMANCE DRIFTDrift detection and retraining controlsthresholds and alert configuration, data collectionendpoints, alert channels, retraining triggersThirty-seven hands-on tests across six attack surfaces, every one tied to a named FDA threat.Reproducible findings with evidence, CVSSv3 and CVSSv4 ratings on the MDDT-qualified rubric, VEX-aligned disposition, one threat-mapped report.TECHNICAL TESTINGFIRST · PENTEST THE PIPELINE ENVIRONMENTTraining serversaccess, jobs, credentialsModel registriesartifacts, versions, accessData storesdatabases, object stores, file systemsDeployment infrastructureserving path, CI/CD, secretsTRAINING DATADATA POISONINGMODEL BIASStores, ingestion, labelingunauthorized reads and writes, injection on ETL,batch integrity, annotation access, provenanceMODEL AND INFERENCEMODEL INVERSION OR STEALINGRegistry, artifacts, inference APIauth and access, excess disclosure, rate limits,enumeration, encryption at rest, serialized filesDEPLOYED DEVICE, RUNTIMEMODEL EVASIONThe inference path on the devicemalformed, corrupted and out-of-distribution inputs,boundary cases, preprocessing bypass, fail-safe, logsPIPELINE AND DEPLOYMENTDATA LEAKAGEWhat leaves the pipelineAPI responses, logs, telemetry and debug endpoints,encryption in transit and at rest, training remnantsTRAINING AND EVALUATIONOVERFITTINGEvaluation and validation infrastructureaccess to evaluation data, scripts and results,split and threshold tampering, duties, versioningPOSTMARKET MONITORINGPERFORMANCE DRIFTDrift detection and retraining controlsthresholds and alert configuration, data collectionendpoints, alert channels, retraining triggersThirty-seven hands-on tests,every one tied to a named FDA threat.Reproducible, evidenced, rated CVSSv3 and v4,dispositioned in the VEX lifecycle.TECHNICAL TESTING
One of the visuals from the paper. The full threat-by-threat test plan is inside.

1. What FDA now expects

Section 524B as the hard requirement, the January 2025 draft guidance as direction, and the seven threats Section XII names, read by the attack surface each one lives on.

2. The premarket plan

Infrastructure first. Thirty-seven hands-on technical tests across six attack surfaces, listed in full, and five bounded adversarial exercises with the access each one needs.

3. Management

The digital twin extended into the pipeline, CVSSv3 and CVSSv4 ratings on the MDDT-qualified rubric, a VEX-aligned lifecycle with CISA justifications, living reports and one threat-mapped report.

4. Postmarket surveillance

Two halves: the cybersecurity program FDA expects of any cyber device, and the data lifecycle IEC PAS 63621:2026 describes. Why the second depends on controls the first has to keep testing.

5. Preparing for an engagement

What to have ready so access does not become the schedule: the pipeline architecture, test access, the device reachable, prerequisites for the exercises, and the data record.

6. The checklist

Premarket and postmarket, one page each, written so a regulatory lead can hand it to engineering and get a yes or a no on every line.

Written for

The people
who own the model.

The paper is written to be handed across those desks without translation.

Product security

Who has to scope an AI-enabled engagement and answer for what was and was not tested.

Regulatory affairs

Who has to place the seven AI-specific risks inside the 524B cybersecurity record and defend the evidence.

ML engineering and quality

Who own the pipeline, will be asked to open it up, and inherit the model and its data record after clearance.

The method, on the site

Read the position page.

The premarket test plan and the postmarket surveillance method are on the ELTON site in full, with the visuals from the paper.

Questions

Questions about
the whitepaper.

What is in the whitepaper?

ELTON's position on testing an AI-enabled medical device for FDA review: what the January 2025 draft guidance expects, the seven named threats and where they land, the premarket test plan (a pipeline environment pentest, thirty-seven technical tests and five bounded adversarial exercises), how findings are rated and dispositioned, and how postmarket surveillance works under IEC PAS 63621:2026. Twelve pages, with a checklist.

Who is it for?

Product security and cybersecurity leads at manufacturers with an AI-enabled device heading to review or already in the field, regulatory affairs teams placing AI-specific risks in a 524B record, ML engineering leaders who own the pipeline, and quality and postmarket teams who inherit the model after clearance.

Is it a product brochure?

No. It is the method, written so a reviewer or an engineer can follow it. ELTON is named where it describes what ELTON does; the test plan and the IEC clauses stand on their own.

Do I have to fill in the form?

Once. The form opens the download on this browser, and you will also get MedDevice AI Security Weekly, our newsletter on AI vulnerability discovery and FDA cybersecurity. Unsubscribe anytime.

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