Autonomous Testing

Agentic pentesting with FDA Traceability.

SAST, DAST, fuzzing, and pentest-class test cases, run continuously by the platform and traced to every component, interface, and data flow of every release. Built on 13 years of putting medical device findings through FDA review, not on a prompt. No scoping call, no vendor calendar, no report that is stale before anyone reads it.

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Four disciplines

The full testing stack, run as one agentic pipeline.

Each discipline catches what the others miss. ELTON runs them together across hardware, firmware, software, web, mobile, and network, on every release you cut. The twin hands the agents context no generic tool has, and TestLink™ carries the whole pipeline onto the physical device.

Static and dynamic analysis

SAST reads source and binaries for weakness patterns. DAST probes the running services the way an attacker would. Both run per release, not per contract.

Fuzzing

Protocol and interface fuzzing pushes malformed traffic through DICOM, HL7, MQTT, and proprietary listeners until something breaks, or demonstrably does not.

Pentest-class test cases

The moves a human tester would make, encoded as executable test cases: authentication bypass, session abuse, chained access across trust boundaries.

Why the harness wins

Anyone can prompt, only ELTON AI can hack.

Any frontier model can reason. The harness is what turns reasoning into work: driving physical interfaces, coordinating scanner, exploit, and validator agents, carrying the twin as context, recovering when something fails. A web-app harness is not a firmware harness. Ours was built for the hard case.

THE MODEL · INTERCHANGEABLEReasoning modelAny frontier model. Swap it freely.The reasoning is a commodity.model Amodel BreasoningTHE ELTON HARNESS · THE ACTUAL TOOLOrchestratorHolds the goal for hours · plans, delegates, compacts, recovers on failureCOORDINATED SUBAGENTSScannerExploitValidatorCONTEXT · DIGITAL TWINComponents, interfaces, trustboundaries under testPHYSICAL I/O DRIVERSUSB · BLE · proprietary RFJTAG / SWD · on-device debugA decade of hands-on device testing lives here, not in the modelReal deviceIt's not the model. It's the harness.Purpose-built for medical device cybersecurity, from 100+ years of combined pentesting experience.
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. That experience is what the pipeline is built from. It is not a prompt, and it did not start last year.

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
THE CONSULTING SHORTCUT Your data, someone else’s prompt. Your product data code · docs · firmware A model, prompted “find vulnerabilities” WHAT THAT PRODUCES Works sometimes. Different answer every run. No coverage assessment. No traceability. Nobody on staff who understands the output. Thrown over the fence Unreviewed findings become your triage problem. THE ELTON PIPELINE 13 years of FDA review, written into a harness. Your product data stays inside the pipeline The harness tools, not prompts WHAT THAT PRODUCES Deterministic. The same run gives the same answer. Coverage measured, every test case traced to the twin. Reviewed by the people who wrote the tooling. Submission ready Verified findings, evidence attached, defensible to a reviewer.

A consultant can paste your source code into a model and prompt it to find vulnerabilities. That works, sometimes. It also runs differently every time, produces no coverage assessment and no traceability, and ends with findings handed to you by people who cannot explain them. Volume is not the same as evidence.

The question to askWho on their team can defend an AI-generated finding to a reviewer? If the answer is nobody, the findings are your problem now.
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
Verification, traced to the twin

FDA required test case traceability, automated.

A finding is not closed by opinion. Every test case comes from the device’s own threat model, runs at the deepest tier you open, and lands as evidence: an unbroken chain from CVE to determination that reviewers can follow. Deeper access closes more findings as Not Affected, and every VEX statement gets stronger.

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
One stream

All vulnerability sources in.
One stream out.

Raw tool output is where triage drowns. Here, every lane feeds exploitability verification before a human ever sees it, so what reaches your team is deduplicated, verified, and evidenced.

FOUR LANES IN. ONE VERIFIED STREAM OUT. SASTsource and binaries DASTrunning services FuzzingDICOM · HL7 · MQTT · proprietary Pentest-class test caseshuman 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.

Deduplicated first

Four lanes rediscover the same weakness four different ways. The platform collapses them into one finding before anyone spends a minute on triage.

Verified before assignment

Findings pass through L1, L2, and L3 verification, so developers only ever see work that survived a real exploitation attempt.

Weakness or vulnerability

What is exploitable today ships as a vulnerability. What is latent is tracked as a weakness and stays out of the release path.

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.

Exploitability management for medical devices. FDA §524B methodologyExploitability proven at runtime95% faster than legacy testing Book a Demo
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