Discovery is solved to the point of drowning. The unsolved problem is telling which findings can actually hurt your device, and evidencing the difference for a regulator.
Find the 1% of findings that require fixing. Verify, with executed evidence, why the other 99% do not. Both halves are the product. Neither works without the other.
Component matching casts a wide net on purpose. Run it across a full SBOM and years of CVE history and the raw list runs to the thousands per device. Almost none of it applies to your build, your configuration, or your reachable attack surface. Someone still has to say so, per finding, in writing.
CVE volume climbs every year while analyst headcount does not. Manual triage was losing this race in 2023. It is not close anymore.
Skipping an irrelevant CVE feels efficient until an auditor asks why it was never assessed. A missing answer reads the same as a missed vulnerability.
Send engineering a queue of maybes and they will treat all of it as noise. Send ten verified exploits and they fix ten things. ELTON only sends what is proven.
ELTON draws one line through every finding, and the line is exploitability on your device as it actually ships.
Reachable from the actual attack surface and substantiated by an executed test case on the device. This is the 1%. It gets a fix, a timeline, and a re-test that proves the fix worked.
Real code, real flaw, no reachable path today. It stays in the twin and stays watched, because the next architecture change can promote it. It does not page an engineer tonight.
Which word applies cannot be settled by reading source code or quoting a severity score. Exploitability is a runtime question, so ELTON answers it at runtime: by attacking the running device, verifying the exploit remotely or over TestLink™ on your own bench.
Every finding that misses the fix list gets a disposition with proof attached: the reason it does not apply, the test or analysis behind that reason, and a machine readable VEX status your customers can ingest. The 99% stop being a liability and become a record that you looked, tested, and can defend the call.
The short list often shrinks further. The dependency graph traces verified findings to shared root causes, so ten proven exploits can collapse into one engineering fix. Every disposition rests on executed evidence, holds to the FDA Compliance rating standard, and publishes through living reports and VEX.
Why the volume exploded, why point-in-time testing cannot keep up, and what runs instead.
Why finding volume went exponential, and why triage headcount never catches up.
Why a point-in-time pentest cannot answer a per-release exploitability question.
The pipeline that runs the testing behind every verdict. A pipeline, not a prompt.
One device, one twin, one report: the short list that needs engineering time, and the evidenced record for everything that does not.
A vulnerability is exploitable today: reachable from the actual attack surface and substantiated by an executed test case on the device. It gets a fix, a timeline, and a re-test that proves the fix worked. A weakness is real code with a real flaw and no reachable path today, so it stays in the twin and stays watched, because the next architecture change can promote it.
Component matching casts a wide net on purpose, so a full SBOM crossed with years of CVE history runs to thousands of findings per device. Almost none of it applies to your build, your configuration, or your reachable attack surface, but someone still has to say so, per finding, in writing. CVE volume climbs every year and analyst headcount does not.
Every finding that misses the fix list gets a disposition with proof attached: the reason it does not apply, the test or analysis behind that reason, and a machine readable VEX status your customers can ingest. Nothing exits the funnel without a status, so the other 99% become a record instead of a liability.
Skipping an irrelevant CVE feels efficient until an auditor asks why it was never assessed. Silence is not a disposition, and a missing answer reads the same as a missed vulnerability. Every finding needs a recorded call, including the thousands that turn out to be noise.
Send engineering a queue of maybes and they will treat all of it as noise. Send ten verified exploits and they fix ten things. ELTON only sends what is proven, and the short list often shrinks further when the dependency graph traces several verified findings back to one shared root cause.