The same asset, nine times
Cloud posture, scanner and code tools each raise their own ticket for one machine. Analysts spend the morning merging duplicates instead of closing risk.
Continuous exposure management
Zelient reads what your scanners, cloud inventory and ticketing already know, collapses the duplicates, and drives each finding to a fix that is verified before it counts as closed.
12,480
Open exposures tracked
68%
Duplicate noise collapsed
6.2 days
Median time to close
1,284
Verified closures this week
Public S3 bucket exposes customer exports
s3://nw-exports-prod · Cloud platform
Priya N.
open 2d
Internet-facing host unpatched for CVE-2026-21874
ip-10-42-8-19 · Infrastructure
Tomasz W.
open 4d
Service account holds unused owner role
svc-deploy@northwind · Identity
Anika R.
open 6d
Dependency with known RCE in build image
orders-api:1.18.3 · Payments
Kwame A.
open 1d
TLS certificate expires in 9 days
checkout.northwind.example · SRE
Sofia L.
open 9d
Illustrative console · sample data
Security teams running Zelient
Where remediation stalls
Every security team we work with has more findings than it can close, and the backlog is not caused by a shortage of scanners. These four patterns account for most of it.
Cloud posture, scanner and code tools each raise their own ticket for one machine. Analysts spend the morning merging duplicates instead of closing risk.
A critical score on a host that cannot be reached from the internet outranks a medium that quietly fronts your payment flow. The queue does not know the difference.
Findings land in a shared queue. Ownership is implied, never assigned, and the ticket ages while three teams assume someone else has it.
A ticket marked done is not evidence a fix shipped. Exposures reopen weeks later, and the audit trail shows a status change rather than a verified closure.
The platform
Seven stages run continuously. You can start with correlation and scoring, or turn on verification first and work backwards.
Photo Tyler on Unsplash
01
Read-only connectors pull findings, cloud inventory, code results and open tickets. Nothing is installed on the assets themselves.
02
Every finding is mapped onto one asset model, so a host, a container and a repository are described the same way.
03
Duplicates collapse into a single exposure with one owner, one score and one history.
04
Reachability, exploit intelligence, data sensitivity and business weight combine into a score your team can defend.
05
The exposure is assigned to the team that owns the asset, inside the ticketing tool they already work in.
06
Zelient re-checks the asset, collects the evidence and only then marks the exposure closed.
07
Every step is written to an immutable trail: who decided, what changed, when it was proven.
How a fix runs
Context that never reaches the person doing the work is context wasted. Zelient puts the reachability, the blast radius and the rollback into the ticket itself.
Photo Danial Igdery on Unsplash
The queue arrives sorted by what is reachable and what it protects, with duplicates already collapsed.
Ownership comes from the asset record, not from a guess in a stand-up. The ticket lands with the right team.
Guidance is written for the engineer holding the ticket: the change, the blast radius, and how to roll it back.
The fix is re-checked against the original finding. Only a passing check closes the exposure.
Research
We analysed 4.2 million findings across 180 security teams to understand where remediation time actually goes: 61% of it is spent reconciling duplicates, not fixing anything.
Inside the report
For the whole team
One number for exposure, with the evidence behind it, instead of a slide built from four tools.
A queue that reflects real risk and an owner on every item, without a spreadsheet to hold it together.
Findings arrive with context and a runbook, in the tool the team already has open.
Closure evidence collected as the work happens, exportable when the auditor asks.
Integrations
Zelient does not replace your tools. It reads them, and writes back where work already happens.
Vulnerability and cloud posture
Application security
Workflow and records
Field note
When one asset produces nine findings, the queue stops describing risk. Here is how four teams rebuilt theirs.
7 min read · Photo Jake Walker on Unsplash
Research
Scoring by reachability and data sensitivity moved 41% of a 60,000-finding backlog below the line nobody argues about.
9 min read · Photo Mario Gogh on Unsplash
Practice
Mean time to remediate rewards fast tickets. Verified closure rate describes what actually happened.
6 min read · Photo Cherrydeck on Unsplash
Send us a read-only export from one scanner. We will return the deduplicated queue, the reachability scores and a closure plan, in your own data.