Eliminating Ticket Escalation with Chat

Daylight is turning incident response from a handoff workflow into a shared working session. In a traditional MDR model, an alert is triaged, written up, pushed into a ticket queue, and only then reaches the customer team that can approve or execute action. Daylight instead drops the case into Slack or Teams, where its analysts and the customer can decide and act in the same thread, while the AI keeps handling the parts it can automate.

• This matters because the slow part of many incidents is not detection, it is coordination. Microsoft now supports real time Teams chat for managed response incidents, with conversation synced into the incident record, which shows the market is moving toward live collaboration inside the analyst workflow instead of separate back and forth systems.
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• Daylight can do this because it sits on top of the customer’s existing stack through APIs to tools like CrowdStrike, SentinelOne, Okta, Slack, and Teams. That means an analyst can discuss an alert and trigger containment, like isolating a device or disabling an account, without forcing the customer into a new console or ticketing queue.
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• The contrast with legacy MDR is operational. Providers such as Arctic Wolf built large businesses by giving companies outsourced monitoring and investigation, but their model is still built around white glove service layers. Daylight is pushing that service interaction into a faster chat based loop, with AI taking the first pass and humans stepping in only when judgment is needed.
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The next step is a SOC workflow where chat becomes the control plane for human decisions, and tickets become the audit trail after the fact. If Daylight can keep proving that this cuts response minutes without creating bad containment calls, it will have a real wedge against older MDR vendors whose process still depends on queues, handoffs, and analyst labor.