Sev 1 Investigations

Event context the moment it happens.

Quine connects the affected systems, dependencies, recent changes, owners, and blast radius the moment a high-severity event occurs, so responders and AI agents start with context instead of reconstructing it under pressure.

See Quine on your operational data

The alert tells you something happened. Not what it means.

A high-severity event is only the starting point.

What happened?

High-severity event

What's affected?

Affected systems

What changed first?

Recent changes

What depends on it, and who owns it?

Dependencies + owners

What should responders see first?

That context often lives across monitoring, inventory, deployment, identity, and ticketing systems. Quine connects it as the event happens.

Find that. Do this.

Find that

When a severe event occurs, determine the context that matters.

  • What system or service is affected.
  • What depends on it.
  • What changed before the event.
  • Who owns the affected systems.
  • Which users or services may be impacted.
  • What else sits on the same failure path.

Do this

Put that context directly into the response.

  • Get the right team engaged faster.
  • Reduce time spent reconstructing what happened.
  • Understand the likely blast radius before it grows.
  • Prioritize the changes and dependencies most likely to matter.
  • Give analysts and AI agents enough context to act immediately.
  • Shorten the path from alert to resolution.

The event and the evidence arrive together.

Know what changed before you start investigating.

A severe event may be obvious. Its cause usually is not.

Quine connects the event to relevant changes around the affected system:

Deployments

What software changed.

Configuration

What settings or policies changed.

Infrastructure

What hosts, networks, or dependencies changed state.

Identity

What accounts, roles, or permissions changed.

That gives responders a better starting point than searching through recent activity manually.

Know what else the event affects.

The system that generated the alert may only be the first visible problem. Quine can follow the relationships outward:

Placeholder: Infrastructure → workloads → applications → dependent services → users or customers

The relationships Quine follows outward from the affected system, as far as they actually reach.

2 services affected · 8,400 active sessions exposed

The goal is not to show the whole graph. It is to show the consequence of the event.

Your existing tools can keep doing what they do.

Monitoring & observability

Detect the event.

Inventory & CMDB

Describe the environment.

CI/CD systems

Record deployments and changes.

Identity systems

Describe people, accounts, and permissions.

Incident tools

Coordinate the response.

“Where do we start looking?”

“Here is what happened, what changed, what it affects, and who owns it.”

Give analysts and agents the same operational context.

Once the context is assembled, it can be used by either a human responder or an AI agent.

Analyst

Investigates from the connected evidence.

Agent

Summarizes the event, recommends next steps, or takes approved actions.

The important part is the same: start with the right context.

Bring us an event where collecting the context takes too long.

If a severe operational event still sends responders across dashboards, deployment histories, inventories, identity systems, and tickets before they can understand what happened, bring us the event and the data around it. Quine connects that context as the event happens.

See Quine on your data