Autonomous Testing

Agentic pentesting with FDA Traceability.

No consulting fees. No overages. No calendar.

All FDA required cybersecurity testing, with findings in as little as 2 days, run by the pipeline and managed in the ELTON platform.

Medical device testers. The credentials behind the pipeline.
OSCPOSCE3OSWEGPENGXPNGICSP
Verification, traced to the twin

All FDA required testing, automated.

Thousands of test cases traced to every component, interface, and data flow of every release. Built on 13 years of testing medical devices and putting findings through FDA review.

FULL REGULATORY TRACEABILITY · EVERY RESULT TRACES BACK TO THE TWINDigital TwinComponents, interfaces,data flows, assetsTest CaseEMB3D PID + LLM logic,tailored to this deviceExecuteAt the deepestavailable tierResultPASSFAIL+ evidence and narrativeFindingAffected / Not AffectedVEX OUTDEEPER ACCESS, HIGHER CONFIDENCE, MORE FINDINGS CLEAREDLEVEL 1Digital Twin MetadataArchitecture, SBOM, reachability andsecurity-profile overlay. Reason aboutexploitability from composition.CLOSED AS NOT AFFECTED30-40%Baseline confidenceLEVEL 2Code & FirmwareCustom harnesses from real code. Staticanalysis and emulation confirm which paths areactually reachable.CLOSED AS NOT AFFECTED50-65%Strong confidenceLEVEL 3Real Hardware RuntimeLive exploit attempts on the actual device.What truly works, and what does not, on realsilicon.CLOSED AS NOT AFFECTED70-85%Highest confidence
Four disciplines

The full testing stack, run as one agentic pipeline.

ELTON runs them together across hardware, firmware, software, web, mobile, and network, on every release. The twin gives the pipeline context no legacy testing firm has, and TestLink™ carries the whole pipeline onto the physical device.

FOUR LANES IN. ONE VERIFIED STREAM OUT. SASTsource and binaries DASTrunning services FuzzingDICOM · HL7 · MQTT · proprietary Pentestinghuman techniques, encoded Exploitability verification twin · code · real hardware Verified findings deduplicated · evidenced
Every lane ends in the same place: verification against the twin, the code, and the real device.
Set the record straight

The difference between a prompt and a pipeline.

You may have heard vendors describe AI testing. Pointing a model at a product and asking it to find vulnerabilities is not testing. It is a prompt, and anyone can write one. Testing is about tools. We use AI to build the tools on the fly and decide which ones to run.

A PROMPT What anyone can do in a chat client. chat client pasted › firmware_main.c pasted › architecture.pdf pasted › prior findings “find vulnerabilities in this” your data leaves Public model no device context WHAT COMES BACK non-deterministic · unverified · no traceability a wall of maybe-issues few real THE PIPELINE Thousands of hours of engineering. AI writes the tools, 24/7 R&D only. It never sees your product data. ships tools into SEALED · YOUR DATA STAYS HERE Digital twinyour release Orchestratorpicks the tools Tools runon the device DETERMINISTIC TOOLCHAIN + thousands WHAT COMES BACK repeatable · verified on device · human reviewed
Left: your data becomes the input to a general model. Right: AI builds the tools, and your data stays inside the pipeline.
Why a prompt fails here

It has no device context, verifies nothing, and returns something different every time you ask. The output is a wall of maybe-issues with no evidence a reviewer can follow, and getting there meant handing over your source code.

Why the pipeline works

Tools are deterministic. They run the same way twice, against the real device, and produce evidence. The engineering is the hard part, and it is where thousands of hours have gone.

Battle tested, not prompt tested

The only pipeline that has been through FDA review.

Thirteen years of testing medical devices, and more than a thousand submissions where our findings, ratings and dispositions had to survive a reviewer.

13
Years testing medical devices, since 2013
1,000+
FDA submissions our findings have been through
6 of 10
Of the top medical device manufacturers
ONE LOOP, RUNNING NON-STOP Find the gap Write the code Test it Ship the tool 5 LOOPS IN PARALLEL no meter · no scoping call · no end date WHAT THEY ARE BUILDING Protocol toolingDICOM, HL7, proprietary linksFirmware toolingunpackers, emulators, debuggersHardware interfacesUART, JTAG, SPI, radioApplication layermobile, web, API surfacesExploit validationproving it on the real device THE TOOLCHAIN 1,000s of tools that know how to test a medical device and counting SHARED WITH YOU Once enabled, every new tool runs on your releases. Same fee.
Five loops, always running. Every tool they ship joins the toolchain, ready to run on your releases once the pipeline is enabled for them.
Fleet management

Manage your fleet of agentic
pentesters-in-a-box.

Every TestLink™ appliance is a pentester in a box, cabled to a real device and run from one console over out-of-band 5G. Watch the fleet: boxes connected, units online, sessions live, latency to each. One bench or a deployment grid, no lab required.

ELTON TESTLINK FLEETLIVEout-of-band 5G · northbound REST6/7UMRs online3appliances2live sessions45msRTT p50FLEET DEPLOYMENTStbox-0001CONNECTEDAcme Corp · v7 · livetbox-0002CONNECTEDAcme Corp · v9 · idletbox-0003DEGRADEDNorthwind · cfg drift v5→v77 remote units · 2 paired · click a box to dive inDEPLOYMENT GRIDsites 6 · units 7ELTON CONSOLESeattleoffline×2LabonlineFielddegradedChicagoonlineDenveronlineDallasonlineonlinedegradedoffline
Get started

Retire the pentest calendar.

Run the full testing stack against your next release and watch verified findings, not a PDF, arrive in the platform.

Questions

Common questions about autonomous testing.

What testing does ELTON actually run against a device?

All FDA required testing is performed using a multitude of ELTON developed tools, orchestrated by AI, and using AI generated test plans to ensure completeness. Testing includes SAST, DAST, fuzzing and pentest-class test cases, run together on every release across hardware, firmware, software, web, mobile and network. Static tools are created to read unique source and interrogate bespoke compiled binaries, dynamic tools are generated on the fly for the target and reach into running services, and fuzzing pushes malformed traffic through DICOM, HL7, MQTT and proprietary listeners. The ELTON difference: tools are created by AI, and customer data is not provided directly to AI agents.

How is this different from asking an AI model to find vulnerabilities?

Pointing a model at a product and asking it to find vulnerabilities is a prompt, not testing. A prompt has no device context, no test plan, verifies nothing, and returns something different every time you ask. ELTON uses AI to build the test plan and bespoke tools on the fly, and to decide which ones to run. The tools are the result of AI development: deterministic, and they produce evidence.

How does ELTON run testing across many devices at once?

Through the TestLink fleet. Every appliance is a pentester in a box, cabled to a real device and driven from one console over out-of-band 5G. The fleet view shows which boxes are connected, how many units are online, which sessions are live and the latency to each, across a single bench or a deployment grid.

Who are the testers behind the pipeline?

ELTON has 13 years of experience testing medical devices, and its findings have been through more than 1,000 FDA submissions. The same senior testers who perform manual testing also review the output of the AI developed tools, holding OSCP, OSCE3, OSWE, GPEN, GXPN and GICSP. Their tradecraft is what the pipeline encodes: authentication bypass, session abuse and chained access across trust boundaries, the moves a human makes and generic tools miss. It runs as software, so it covers every attack surface rather than the ones a consulting firm had hours for.

Why are test planning and test cases so important?

Cybersecurity testing is about evidencing the tests that were run. Gone are the days of simply reporting vulnerabilities. Every test case is derived from the device's own threat model, runs at the deepest tier of access you have opened, and lands as a result with evidence and narrative attached. That produces an unbroken chain from hundreds or thousands of test cases to every part of the digital twin, mapped to vulnerabilities wherever a test case result yielded one.

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