Deploy a customer-support response-drafting agent
Build a Copilot Studio agent that drafts support responses from your product knowledge base and account history, attaches relevant articles, and routes anything it can't answer to a specialist.
Use Security Copilot to support an incident investigation and produce a structured, defensible response timeline as the investigation unfolds.
Faster, more complete incident documentation during and after a security event, when accuracy and speed both matter.
This timeline links real account identifiers, sign-in logs, and attack-pattern details — exactly what an active attacker would want if it leaked mid-investigation. Keep it restricted to the incident response team until the investigation closes, even internally.
The apps run in this order.
Have Security Copilot begin correlating alerts and log entries around the incident's start time as soon as it's confirmed, rather than reconstructing the timeline from memory after the fact.
Request specific timestamped entries — first alert, actions taken, systems affected, containment steps — each linked back to the source log or alert, not a narrative summary that can't be individually verified.
Prompt idea:
Build an incident timeline for the suspicious login activity flagged on account jdoe@company.com starting at 2:14am. Pull the relevant sign-in logs and alert data, and list each event with its exact timestamp and source log reference.
Keep feeding new findings and containment actions into the same timeline as the response continues, rather than building a separate summary at the end that has to be reconciled with real-time notes.
Export the timeline into Word and have the incident lead read it against the raw logs entry by entry, not just skim for overall plausibility.
This becomes the official record for the post-incident review and any external or regulatory reporting, so an unverified timestamp or misattributed action here carries real consequences later.
A structured, evidence-linked timeline of the incident — detection, actions taken, resolution — ready for the post-incident review.
Pulling a specific account's sign-in logs for a time window is a filtered query. Correlating that against alert data from separate systems into one coherent, evidence-linked timeline as a live investigation unfolds is the synthesis a single log query doesn't give you.
Build a Copilot Studio agent that drafts support responses from your product knowledge base and account history, attaches relevant articles, and routes anything it can't answer to a specialist.
Use Security Copilot to evaluate a script for safety issues before it ships to production.
It's end of quarter and the raw numbers just came in.
Workflows like this tend to raise real governance and licensing questions once more than one person is using them — that's exactly what we help with.