ELTON AI for digital twinning and vulnerability testing. TestLink™ for the physical device. AI for chaining and lifecycle management. Each turn of the loop enriches history and traceability.
Every release makes a turn, and every turn enriches the history. Below, the loop unpacked stage by stage: digital twin, identify, contextualize, monitor and track, respond.
No questionnaire. The twin is built from artifacts your quality system has produced, reviewed, and submitted. Most of the model already sits in your files.
System diagrams, data flow maps, and deployment context define what the device is, what talks to it, and where it sits on a hospital network.
The software bill of materials binds every component and version into the model, so a new CVE resolves to a real location instead of a keyword match.
DICOM, HL7, and MQTT listeners, trust boundaries, and documented countermeasures become claims the platform can test, not lines in a PDF.
Exploitability is only answered at runtime, on the real product. ELTON drives a purpose-built AI harness, decades of hands-on device security work encoded, against live device interfaces.
Three ways in: ship the device to our lab, have us target the one in yours remotely, or run TestLink™, a pentester in a box on your bench.
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 rediscover the same weakness four different ways. The platform collapses them into one finding before anyone spends a minute on triage.
Findings pass through L1, L2, and L3 verification, so developers only ever see work that survived a real exploitation attempt.
Every verified finding leaves the stream tagged as one or the other. Stage 03 is where that line gets drawn, with the dependency graph holding the pen.
A finding is not closed by opinion. Test cases generate from the threat model, execute at the deepest tier you open, and land as evidence. CVE to determination, unbroken.
Applying a rubric to one CVE is easy. Every finding, every release, reasoning written down, is where humans run out of hours. ELTON runs the full backlog, rationale attached.
Context moves the number. A generic 9.8 assumes network reachability and no controls. When the digital twin shows the path is blocked, the score drops, rationale on the record.
CVSSv4 changes the math and the vocabulary. We are building that path now: see CVSSv4 migration and Proof Over Probability.
ELTON rates each vulnerability in isolation, then lets the dependency graph decide what is actually exploitable. Entry vectors produce conditions. Findings require them.
MTTT, MTTV, and MTTM run per view. The same CVE yields different, independently correct numbers in v1.1, v1.2, and v1.3. Each version has its own exposure window.
Time to triage. Starts when a finding enters Needs Triage, stops when it leaves. Once started it never resets on re-assessment.
Time to verify. Starts at triage exit, stops when verification flips to Verified without the status changing. We verify a status, not a finding.
Time to mitigate. Starts at Affected, stops at Fixed in the same Draft view, or when a downstream clone reaches Fixed or Not Affected.
Every status, rating, verification, mitigation, VEX reason, and clock is captured as the finding moves. The report is not assembled at the end. It is the lifecycle, read out.
Of everything open in a view, how much rests on test evidence rather than analysis alone. ELTON reports it per view and pushes it up.
Of everything closed as Fixed, how many closures have a PASS test proving the fix works. This is the number that survives an audit.
Ranked by attack-path classification first, active CVSS second. The graph knows which chains share a root, so the plan is minimal: fix two findings, eliminate the exploitable severity.
Start with one device. We build the twin from documents you already have, run AI discovery remotely, and show you the graph: the handful to fix, evidence for the rest.