Solutions · Security Engineering

Kill the triage backlog.

Every SBOM refresh dumps hundreds of CVEs on your team with no context. Most will never be exploitable on your device, but proving that consumes the quarter. ELTON verifies exploitability on the real device and hands your engineers a queue that only contains work worth doing. ELTON is an exploitability management platform, delivered as a managed program. Our team runs it. Your engineers get full platform access and a TestLink™ appliance on the bench to drive tests themselves.

The verified-only queue

Nothing reaches a developer until ELTON has proven it exploitable on your device and attached the evidence. Everything else is dismissed on the record instead of rotting in a spreadsheet.

The problem

Scanners create work.
They do not finish it.

Discovery is the cheap part. The cost lands afterward, when someone has to decide which of those findings are real on your device.

Hundreds of CVEs per quarter

Each SBOM refresh maps your components against a feed that is roughly tripling in volume from 2024 to 2028. The queue grows faster than any team can clear it by hand.

Findings without context

A CVSS score and a component name do not tell you whether the vulnerable function is compiled in, reachable, or exposed on an interface. So every entry becomes a small research project.

Triage eats your best people

Senior engineers spend sprints writing justifications for code paths that cannot be reached instead of fixing the flaws that can.

What ELTON changes

From findings to fixes, with proof at each step.

ELTON runs discovery across hardware, firmware, software, web, mobile, and network, then does the part scanners skip: proving what is actually exploitable on your device.

Verified true positives only

The AI attempts each candidate finding against the digital twin and the real product. Only proven exploitable issues enter the developer queue. Across 10,000+ device tests, that is how we find the 1% worth fixing.

Root causes, not symptom lists

The dependency graph traces findings to the shared weakness underneath, so dozens of scanner entries collapse into the handful of fixes that remove them all.

Prescriptive remediation

Every verified finding ships with device specific guidance: the component, the path, the change, and the constraint that matters on your platform. No generic advisory text.

Re-verification after the fix

When the change lands, ELTON attacks it again. Closure means the exploit no longer works, not that a ticket moved columns.

The shape of the work

Many findings in.
Few fixes out.

The 99% do not disappear. They get evidence. Your auditors and your customers see exactly why each one was dismissed, and your engineers never see them at all.

A quarter of findings, after verification All findings SBOM matches + discovery across firmware, software, web, mobile, network hundreds per quarter AI verification attempted on the real device exploit succeeds attack fails The 1% verified exploitable → developer queue + fix guidance The 99% proven not exploitable, dismissed with evidence
Engineering time goes to the verified 1%. Evidence covers the rest.
Before ELTON

The quarter you have now

The SBOM refresh lands. Engineers pull each CVE, hunt for the code path, argue reachability in tickets, and write dismissal notes nobody standardized. The backlog rolls into next quarter anyway.

With ELTON

The quarter you get back

The refresh routes through verification first. Engineers open a queue of proven exploitable issues with fix guidance, ship the changes, and ELTON re-verifies each one. The dismissal notes write themselves, with evidence attached.

Get started

Put your engineers back on engineering.

Bring us the backlog. ELTON verifies what is exploitable on your device, routes the 1% with fix guidance, and evidences the other 99%.

Questions

Common questions about vulnerability triage.

How do you clear a CVE triage backlog?

Verify exploitability before anything reaches an engineer. ELTON attempts each candidate finding against the digital twin and the real product, so only proven exploitable issues enter the developer queue and everything else is dismissed on the record. Across 10,000+ device tests, that is how the 1% worth fixing gets found.

Why does a CVSS score not tell you whether a CVE matters on your device?

A score and a component name do not tell you whether the vulnerable function is compiled in, reachable, or exposed on an interface. So every entry becomes a small research project, and senior engineers spend sprints writing justifications for code paths that cannot be reached instead of fixing the flaws that can.

How do hundreds of scanner findings become a handful of fixes?

By tracing them to the shared weakness underneath. The dependency graph collapses dozens of scanner entries into the few fixes that remove them all. Each verified finding then ships with device specific guidance: the component, the path, the change, and the constraint that matters on your platform.

How do you confirm a fix actually closed the vulnerability?

Re-verification. When the change lands, ELTON attacks it again, so closure means the exploit no longer works rather than a ticket moving columns. The result is recorded against the release it was tested on, which is what an auditor reads later.

What happens to the vulnerabilities you do not fix?

They get evidence rather than silence. The findings proven not exploitable are dismissed with the reasoning attached, so auditors and customers can see exactly why each one was set aside, and engineers never see them at all. The dismissal notes stop being something nobody standardized.

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