Knowing exactly where the organization stands today, across every framework and every system, takes more than a quarterly snapshot.
VGLNT keeps that picture complete and current, automatically, so you're always working from the latest facts.
Control effectiveness is derived from evidence collected continuously, not from a status field someone updated before the steering meeting. What you see is what the systems reported today.
Every failing control carries the underlying data: which system, which check, since when. You can judge severity without opening a round of clarification emails.
DORA, NIS2, ISO 27001 and internal controls draw on the same evidence. Overlaps are recognized once, so a single finding surfaces everywhere it matters.
Gaps and failing controls are revealed as they happen, leaving time to remediate inside the cycle instead of documenting the failure afterwards.
Your control requires that privileged access across cloud and identity systems is reviewed every quarter and that removals are completed within ten working days. It is one control, spread over several systems and several teams.
Role assignments from AWS IAM, group membership from Okta and the leaver records from HR are pulled on schedule. Nobody is asked for a screenshot.
The assessment compares who holds privileged access against who is entitled to it, and checks whether last cycle's removals were actually completed.
The control shows as failing: four privileged accounts belong to people who changed roles, unresolved for 17 days. The accounts, the systems and the timeline are one click away.
The owning team gets notified while there is still time to fix it, and the control flips back to effective as soon as the next collection run confirms the removals.
The difference is not that the review happened. It is that you knew about the gap instantly instead of reading about it in an audit finding three months later.
This is the view a CISO opens first: every control, its current state, and the evidence behind it. Filter by framework, focus on what is failing, and drill into any control.
Illustrative data. In your environment these rows are generated from evidence collected out of your own systems.
Decide on current facts, not outdated evidence. Book a short call and see how VGLNT would fit your controls and frameworks.
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