Use case
Xpectrum AICase study IT security operations
Reduce thousands of daily signals to the cases that need people.
A security team is using agents as a first layer of investigation, not as a replacement for judgment.
1,000+signals that can arrive in a day
The challenge
Make the important work easier to carry.
A large security environment can generate thousands of events and alerts every day. Even at five minutes per alert, investigating 1,000 alerts would require more than 80 human hours. The team needs a way to gather context and prioritize before the queue reaches a person.
An incoming signal triggers an agent that checks activity across systems, evaluates the event against company policies, assigns a risk level, and recommends the next action. Critical or uncertain cases stay with the security team.
The workflow
Signal → AI triage → context gathering → risk analysis → recommendation → human for critical cases
What changed
Security teams spend more time deciding and less time sorting.
The aim is to turn 1,000 things demanding attention into the 20 or 30 cases that genuinely deserve it.
01 / Context02 / Action03 / Review
Your turn
Start with the process your team knows by heart.
We will help you find the first useful version.