L11. Sentinel Incidents: Investigation and Evidence
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Check back soon for the video lesson on Sentinel Incidents: Investigation and Evidence
Sentinel incidents aggregate alerts with supporting evidence for SOC investigation. This lesson covers the incident lifecycle, the investigation graph, entity pages, bookmarks, and the evidence collection workflow for the SC-200 exam.
Sentinel Incidents vs Defender XDR Incidents
When Sentinel is connected to the Defender portal, incidents from both systems appear in a unified queue. Key differences:
| Aspect | Sentinel Incidents | Defender XDR Incidents |
|---|---|---|
| Source | Analytics rules, Fusion, imported alerts | Defender workload alerts |
| Investigation | Investigation graph, bookmarks, notebooks | Investigation graph, advanced hunting |
| Automation | Playbooks (Logic Apps), automation rules | Automated Investigation and Response (AIR) |
| Evidence | Log query results, bookmarks, entities | Device timeline, file analysis, email trace |
Incident Lifecycle
- New: Incident created by analytics rule or connector
- Active: Analyst is investigating
- Closed: Investigation complete (classification: True Positive, Benign Positive, False Positive, Undetermined)
Incident properties include severity, owner, status, tags, and a description/comments field for analyst notes.
The Investigation Graph
The investigation graph provides a visual map of an incident. Starting from the incident's alerts, it shows:
- Entities involved (users, hosts, IPs, files, mailboxes)
- Relationships between entities
- Related alerts from other incidents
- Timeline of activities
Clicking an entity in the graph opens its entity page. Expanding an entity reveals its connections: which hosts a user logged into, which IPs connected to a host, which files were executed. Exam tip: The investigation graph is the primary tool for understanding the scope of an incident. Use "Expand" on entities to discover additional related activity.
Entity Pages
Each entity type has a dedicated page aggregating information across all data sources: User entity page:
- Entra ID profile information
- Sign-in activity and anomalies
- Group memberships
- Alerts and incidents involving this user
- UEBA insights (if enabled)
- Lateral movement paths (if Defender for Identity connected)
- Device information and installed agents
- Security events and alerts
- Logon activity
- Process execution history
- Network connections
Bookmarks
Bookmarks save specific query results as investigation evidence. When hunting or running ad-hoc queries, analysts can:
- Run a KQL query
- Select interesting rows in the results
- Add them as a bookmark with notes
- Attach the bookmark to an existing incident
Bookmarks preserve the exact data at the time of the query, creating a forensic record even if the underlying data changes or ages out of retention. Exam tip: Bookmarks are used to save hunting query results as evidence. They can be attached to incidents and are visible in the investigation graph.
Tasks
Incident tasks let SOC leads define investigation checklists. A task list can include steps like:
- Verify the affected user's recent activity
- Check if the source IP appears in threat intelligence
- Determine the blast radius
- Contact the user for confirmation
Tasks can be added manually or automatically through automation rules.
Comments and Activity Log
Every incident has a comments section where analysts document their findings and decisions. The activity log tracks all changes: status updates, severity changes, owner assignments, and automation rule executions.
Closing Incidents
When closing an incident, analysts must select a classification:
- True Positive: Suspicious activity: Confirmed malicious activity
- Benign Positive: Suspicious but expected: Legitimate activity that triggered the rule (e.g., security scan)
- False Positive: Incorrect alert logic: The rule needs tuning
- Undetermined: Insufficient evidence to classify
This classification data feeds into analytics rule tuning and SOC metrics.
- ✓The investigation graph is the primary tool for understanding incident scope by visualizing entity relationships.
- ✓Bookmarks save hunting query results as evidence and can be attached to incidents.
- ✓Incident classifications: True Positive (suspicious), Benign Positive (expected), False Positive (incorrect logic), Undetermined.
- ✓Entity pages aggregate all data about a user, host, or IP across all connected data sources.
- ✓Incident tasks provide investigation checklists that can be added manually or via automation rules.
- ✓Defender XDR incidents sync bi-directionally with Sentinel when the connector is active.
1. During a threat hunt, an analyst finds suspicious query results that may be related to an open incident. How should they preserve this evidence?
2. A scheduled security scan triggers a Sentinel analytics rule. How should the analyst classify the incident when closing it?
3. Which Sentinel feature provides a visual map showing entities, their relationships, and related alerts within an incident?