Investigates insider threat incidents involving employees, contractors, or trusted partners who misuse authorized access to steal data, sabotage systems, or violate security policies. Combines digital forensics, user behavior analytics, and HR/legal coordination to build an evidence-based case. Activates for requests involving insider threat investigation, employee data theft, privilege misuse, user behavior anomaly, or internal threat detection.
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Investigates insider threat incidents involving employees, contractors, or trusted partners who misuse authorized access to steal data, sabotage systems, or violate security policies. Combines digital forensics, user behavior analytics, and HR/legal coordination to build an evidence-based case. Activates for requests involving insider threat investigation, employee data theft, privilege misuse, user behavior anomaly, or internal threat detection.
DLP (Data Loss Prevention) alerts on large data transfers to personal cloud storage or USB devices
User behavior analytics (UBA) detects anomalous access patterns for a user account
HR reports a departing employee suspected of taking proprietary information
A privileged user is observed accessing systems outside their job function
Whistleblower or coworker report alleges policy violations or data theft
Do not use for external attacker investigations where compromised credentials are used without insider collusion; use standard incident response procedures instead.
Prerequisites
Legal counsel approval before initiating any monitoring or investigation of an employee
HR partnership with defined investigation procedures and employee privacy guidelines
DLP platform with content inspection and policy enforcement (Symantec DLP, Microsoft Purview, Digital Guardian)
User behavior analytics platform (Microsoft Sentinel UEBA, Exabeam, Securonix)
Forensic imaging capability for endpoint examination
Chain of custody procedures for evidence that may be used in legal proceedings
Clear authority and scope documentation approved by legal and HR
Workflow
Step 1: Receive and Validate the Allegation
Document the initial report and validate before proceeding:
Record the source of the allegation (DLP alert, UBA detection, HR referral, manager report)
Confirm with legal counsel that the investigation is authorized
Define the investigation scope: what activity is being investigated, time period, systems involved
Establish the investigation team: security, legal, HR (never investigate alone)
Create a restricted case file accessible only to the investigation team
Investigation Authorization:
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Case ID: INV-2025-042
Subject: [Employee Name] - [Title] - [Department]
Allegation: Unauthorized transfer of proprietary data to personal cloud storage
Reported By: DLP system alert + manager concern
Legal Approval: [Counsel Name] - 2025-11-15
HR Liaison: [HR Name]
Scope: File access and transfer activity from 2025-10-01 to present
Systems in Scope: Workstation, email, cloud storage, VPN, DLP logs
Step 2: Collect Evidence Covertly
Gather evidence without alerting the subject to the investigation:
Network traffic capture for the subject's workstation
Endpoint Forensics (if warranted by evidence):
Create forensic image of the subject's workstation
Analyze browser history, download history, and installed applications
Examine deleted files and Recycle Bin contents
Review cloud sync application logs (Dropbox, Google Drive desktop client)
Step 3: Analyze User Behavior Patterns
Build a behavioral profile comparing normal vs. anomalous activity:
Behavioral Analysis:
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Normal Baseline (6-month average):
- Login time: 08:30-09:00 weekdays
- Files accessed: 15-25 per day (marketing department files)
- Email volume: 45 sent, 80 received per day
- Data transferred: 50MB per day average
- USB usage: None
Investigation Period (last 30 days):
- Login time: 22:00-02:00 (after hours, multiple occasions)
- Files accessed: 200+ per day (finance, engineering, executive files)
- Email volume: 120 sent per day (30% to personal gmail)
- Data transferred: 2.5GB per day average
- USB usage: 3 unique devices connected (Kingston DataTraveler)
- Print jobs: 847 pages (competitor analysis, customer lists, source code)
Anomaly Score: 94/100 (Critical)
Step 4: Reconstruct the Activity Timeline
Build a chronological timeline of the subject's actions:
Timeline of Activity:
2025-10-15 Subject submits resignation (2-week notice)
2025-10-16 First after-hours login at 23:15, accessed engineering Git repository
2025-10-17 USB device (Kingston DT 64GB) first connected at 23:30
2025-10-18 DLP alert: 450 files copied to USB, including CAD drawings
2025-10-19 200+ emails forwarded to personal Gmail account
2025-10-20 Google Drive desktop client installed, syncing corporate SharePoint
2025-10-22 Accessed executive SharePoint site (not normally accessed)
2025-10-25 Second USB device connected, 2.1GB transferred
2025-10-28 Print job: 847 pages including customer contact database
Step 5: Assess Impact and Determine Response
Evaluate the severity and coordinate the response with HR and legal:
Impact Assessment:
What data was accessed or exfiltrated (classification level, business impact)
Was the data shared externally (competitors, public, personal storage)
Context: A senior software engineer with access to critical repositories submits a two-week resignation notice. The engineering manager reports that the engineer has been working unusual hours and downloading large amounts of code.
Approach:
Obtain legal authorization to investigate before taking any action
Pull Git access logs showing repository clones and downloads for the past 60 days
Review DLP logs for USB device connections and large file transfers
Check email gateway for messages with code attachments sent to personal accounts
Analyze browser history for personal cloud storage uploads
Image the workstation forensically before the employee's last day
Present findings to legal and HR for determination of next steps
Pitfalls:
Investigating without legal counsel authorization (may violate employee privacy rights)
Alerting the subject to the investigation before evidence is preserved
Not preserving the workstation before the employee's departure date
Assuming all after-hours access is malicious without comparing to the employee's historical baseline
Failing to check personal mobile devices that may have accessed corporate cloud services
Output Format
INSIDER THREAT INVESTIGATION REPORT
=====================================
Case ID: INV-2025-042
Classification: CONFIDENTIAL - Need to Know Only
Subject: [Name Redacted] - Senior Engineer
Investigation Period: 2025-10-01 to 2025-10-28
Investigator: [Name]
Legal Counsel: [Name]
HR Liaison: [Name]
ALLEGATION
Unauthorized exfiltration of proprietary source code and customer
data following resignation submission.
EVIDENCE SUMMARY
1. Git logs: 47 repositories cloned (vs. baseline of 3)
2. USB transfers: 4.6 GB across 3 unique devices over 12 sessions
3. Email: 200+ emails with attachments forwarded to personal Gmail
4. Cloud: Google Drive sync client installed, syncing corporate files
5. Print: 847 pages including customer contact database
6. Physical access: After-hours badge access on 8 of 12 workdays
BEHAVIORAL ANALYSIS
[Baseline vs. anomalous activity comparison]
IMPACT ASSESSMENT
Data Classification: Confidential (source code, customer PII)
Estimated Volume: 7.2 GB exfiltrated
Regulatory Impact: Potential GDPR notification (customer PII)
Business Impact: Competitive advantage at risk
TIMELINE
[Chronological event listing]
RECOMMENDATIONS
1. [Legal/HR decision on employment action]
2. [Evidence preservation actions]
3. [Regulatory notification assessment]
4. [Access control improvements]
