Infrastructure graph

See the dependency path behind the incident.

Aideworks maps changes and failures across the domain stack so teams understand what changed, where it propagated, and what business impact follows.

Live dependency path

From change to customer impact.

The graph connects the event, the dependency layer, the service impact, and the next remediation move in one operating view.

2 min ago

Change detected

A record, provider, certificate, or mail-routing state shifted away from the known-good baseline.

4 min ago

Dependency mismatch

The graph ties that change to the exact layer it affects, such as DNS routing, certificate trust, or mail delivery.

7 min ago

Impact inferred

The platform shows what breaks next: degraded trust, unstable delivery, rising spoofing exposure, or service availability risk.

Now

Next move clarified

Teams see which owner to involve first, which evidence matters, and which remediation path is most likely to resolve the issue.

Why the graph matters

More than a visual trace.

The graph exists to reduce ambiguity during active incidents and after-the-fact reporting.

Root cause

The platform separates the trigger from the symptoms so teams stop chasing the wrong layer first.

That shortens incident time because DNS drift, certificate trust issues, and provider failures behave differently.

Customer impact

The graph makes the likely downstream effect explicit before support tickets or client calls define the narrative.

That helps teams act before the issue becomes externally visible or spreads across a larger portfolio.

Next move

The graph provides a usable action path instead of a generic alert body.

Operations teams know which record, dependency, or provider relationship to verify next.

Operational timeline

Built for incident review as well as live response.

Because the graph keeps the path and timestamps together, it doubles as evidence for post-incident analysis and client communication.

10:14

Change first seen

Aideworks records when the platform first observed the change or drift event.

10:18

Risk state raised

The relevant feature score and domain score shift as the platform confirms the downstream exposure.

10:31

Issue resolved

Recovery becomes part of the same timeline, so teams can prove both the fault and the fix.

Move from alert text to dependency-level context.

Use the graph alongside scoring so teams know what happened, why it matters, and where to investigate first.