Email investigations lose account context when identity events arrive after the alert.
Fast alerting protects inboxes, while complete identity telemetry protects the confidence of the investigation.
Who you’d be doing this for
“I had the phishing alert, then spent twenty minutes waiting to learn whether the account actually clicked.”
Jian Sun · Security Operations Analyst · a character in this brief
Investigates suspicious inbound email and decides whether an account needs containment.
What is at stake
Suspicious-email cases are opening before the related Microsoft 365 identity events arrive. You have to weigh a fast ingestion correction against preserving reliable alerting and retention.
Why it isn’t already fixed
Every obvious fix costs something else. That’s the part you’d have to decide.
- fast alerting vs complete investigation context
- shared platform stability vs source-specific recovery
- automation speed vs reviewed validation
- telemetry coverage vs deployment risk
Why Abnormal AI
Inbound Email Security depends on timely Microsoft 365 context to connect suspicious messages with the account activity that follows.
Written with these in mind
Not your kind of problem? 21 more at Abnormal AI, or browse every organization.
Where the organization context comes fromThe postings this brief was written from, and the reporting read before it.
The organization context comes from public information. The situation and characters are written for the brief.
Job postings it was written from
Public descriptions of the work at Abnormal AI. They are listed as sources, not as openings. The lines under a posting are its own words, where it meets this brief.
- Senior Security Engineer (opens in a new tab)
- Build response automation that gathers context, enriches alerts, preserves evidence, and accelerates investigation and containment.
- Own the reliability of security logging and monitoring pipelines, including ingestion coverage, data quality, source health, retention, and alerting.
- Senior ServiceNow Platform Engineer (opens in a new tab)
- Application Security Engineer II (opens in a new tab)
- Director of Security Engineering (opens in a new tab)
- Own the security engineering roadmap: cloud security architecture (AWS-first), detection and response, identity, vulnerability management, and secure-by-default platform investments.
- Technical Support Engineer (opens in a new tab)
- Provide customers with clear, timely updates, root cause insights, and solution recommendations that reinforce product confidence and trust.
- Own and resolve inbound support tickets, including configuration issues, API questions, behavioral false positives, and threat investigations.
This is the setup. The work is inside.
Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.
Where similar work appears
Other live briefs connected to this one, and what connects them.
Similar problems at other organizations
Like this one, each of these turns on fixing one thing without breaking another.
Denied telemetry calls jumped to 18,000 an hour after one deployment.
You have to weigh tighter access against uninterrupted vehicle records.
During bursts, only 46% of imported IOCs are queryable within 10 minutes.
You have to weigh faster draining against the stability of the shared enrichment flow.
A stale Outlook thread led an AI follow-up to reference a reply that no longer represented the conversation.
You have to weigh uninterrupted recruiter workflows against a contract that prevents a wrong message from being sent.
The same setting, from another role
Each is set around Abnormal AI’s Inbound Email Security, written for a different role. They’re separate briefs, not the same scenario.
Credential-theft alerts are ordered by message suspicion even when later evidence shows different recipients were most exposed.
You must weigh a useful early ranking against incomplete labels and the risk of steering analyst attention poorly.
A confirmed compromise has produced 1,940 proposed removals before payroll processing begins.
You must weigh campaign containment against irreversible loss of legitimate supplier and payroll mail.
Thirty-one legitimate internal messages were blocked in one day after reporting lines changed.
You must weigh a fast feature correction against a broader exception path that consumes the same release window.
Other problems with a similar purpose
In each of these, as in this one, the aim is to turn fragmented, conflicting operational signals into one clear, actionable call.
Checking customers retry account actions when the mobile app and backend services tell an incomplete story.
You decide where the AI's trace of an incident stops and where the on-call engineer's confirmation of the cause begins.
Conflicting updates are letting carrier-integration risks reach readiness reviews too late.
You must decide which dependency changes the workflow sends straight to a Program Manager as uncertain and which it records as flags for the readiness record.
Regional production can stop while aggregate workspace activity still looks healthy.
You must decide where the ranking stops and the CSM starts: which signals set an account's place in the order, and which the CSM reads for themselves before choosing what to say.
