Remote Team Cybersecurity Incident Logs

This dataset provides detailed logs of cybersecurity incidents affecting remote employees, including incident types, severity, response times, and training gaps. It enables HR and IT teams to analyze vulnerabilities, optimize incident response, and identify areas for targeted security training, supporting proactive risk management for distributed workforces.

  • last updated 26 Nov 2025
  • by GoMask
The brief that made it

Identifying common cybersecurity vulnerabilities among remote employees

Sample rows

preview · 8 of 75 rows · all 20 columns
incident_idstringincident_severitystringresponse_time_minutesintegertraining_gap_identifiedbooleantraining_type_recommendedstringemployee_idstringemployee_departmentstringemployee_location_citystringemployee_location_statestringemployee_location_countrystringincident_datetimedatetimeincident_typestringvulnerability_sourcestringresponse_initiated_datetimedatetimeresponse_completed_datetimedatetimeincident_statusstringreported_bystringreporting_channelstringincident_descriptionstringresponse_actionsstring
INC0001medium35truephishing awarenessEMP1023ITSan FranciscoCAUSA2024-04-02T09:24:00phishingsocial engineering2024-04-02T09:30:002024-04-02T10:05:00resolvedEMP1023emailEmployee received an email requesting confidential login details.Password reset, user notified, phishing email blocked.
INC0002high75truesafe browsingEMP1007HRLondonEnglandUK2024-05-16T13:42:00malwareunverified downloads2024-05-16T13:45:002024-05-16T15:00:00resolvedEMP1012helpdeskMalware detected during file download from unknown source.System isolated, malware removed, files quarantined.
INC0003critical48truepassword managementEMP1062FinanceDallasTXUSA2024-03-11T16:20:00unauthorized_accessweak password2024-03-11T16:22:002024-03-11T17:10:00resolvedEMP1062chatUnauthorized login attempt detected from foreign IP.Forced logout, password policy updated, IP blocked.
INC0004medium45truephishing awarenessEMP1084SalesBerlinBerlinGermany2024-01-22T10:50:00phishingsocial engineering2024-01-22T10:55:002024-01-22T11:40:00resolvedEMP1084emailSales manager clicked on a suspicious link in a client email.Account monitored, link flagged, user coached.
INC0005high100falseblankEMP1031ITTorontoOntarioCanada2024-02-13T12:17:00malwareunpatched software2024-02-13T12:20:002024-02-13T14:00:00closedEMP1031helpdeskRansomware detected on employee workstation.Workstation isolated, data restored, patch deployed.
INC0006medium35truedata handlingEMP1057MarketingSydneyNSWAustralia2024-04-07T08:30:00data_leakmisconfigured permissions2024-04-07T08:35:002024-04-07T09:10:00resolvedEMP1057chatSensitive campaign data shared via public link.Link revoked, permissions corrected, review conducted.
INC0007low9falseblankEMP1002FinanceNew YorkNYUSA2024-05-05T14:00:00phishingsocial engineering2024-05-05T14:01:002024-05-05T14:10:00resolvedEMP1002emailPhishing attempt detected; employee did not engage.Phishing email blocked, user notified.
INC0008high43truepassword managementEMP1095ITAmsterdamNorth HollandNetherlands2024-02-23T15:45:00unauthorized_accessweak password2024-02-23T15:47:002024-02-23T16:30:00closedEMP1095helpdeskMultiple failed login attempts to secure server.Account locked, password policy enforced.

What the 75 rows show

from the 75-row sample

Critical (incident severity) stands out: mean response_time_minutes is 80.9, against 37.0 for the rest.

  • 63%training_gap_identified = true
  • 41median response_time_minutes
  • 2incident statuses
  • 4reporting channels
  • 6incident types
  • 7employee departments
Mean response_time_minutes by incident_severity75 rows
05010014.3low12 rows37.1medium29 rows49.4high22 rows80.9critical12 rows
response_time_minutes75 rows, in bands of 20
01530829265322080140response_time_minutes →

Median 41, from 4 to 138.

training_type_recommended47 rows with a value · 28 left blank
  1. phishing awareness19
  2. password management12
  3. data handling11
  4. safe browsing4
  5. device security1
20 columns by typefrom the column list below
  • string 15
  • integer 1
  • datetime 3
  • boolean 1

Columns

20 columns in four groups
blueprint · 20 columns
columntypedescriptionexample
Text 15 columns
incident_idstringUnique identifier for each cybersecurity incidentuniqueINC0001
employee_idstringUnique identifier for the remote employee involved in the incidentEMP1023
employee_departmentstringDepartment of the employee (e.g., IT, HR, Sales)7 departmentsIT
employee_location_citystringCity where the employee was located during the incidentoptionalSan Francisco
employee_location_statestringState or region where the employee was located during the incidentoptionalCA
employee_location_countrystringCountry where the employee was located during the incidentoptionalUSA
incident_typestringType of cybersecurity incident (e.g., phishing, malware, unauthorized access)6 valuesphishing
incident_severitystringSeverity level of the incidentlow · medium · high · criticalmedium
incident_descriptionstringDetailed description of the incidentoptionalEmployee received an emai…
vulnerability_sourcestringSource or cause of the vulnerability (e.g., unpatched software, weak password, social engineering)11 sources · optionalsocial engineering
response_actionsstringPrimary action(s) taken to resolve the incident (e.g., password reset, system isolation, patch applied)optionalPhishing email blocked.
incident_statusstringCurrent status of the incidentopen · in_progress · resolved · closedresolved
training_type_recommendedstringType of training recommended to address the gap (e.g., phishing awareness, password management)5 recommendeds · optionalphishing awareness
reported_bystringName or identifier of the person who reported the incidentoptionalEMP1023
reporting_channelstringChannel through which the incident was reported (e.g., email, helpdesk, phone)email · helpdesk · phone · chat · other · optionalemail
Numbers 1 column
response_time_minutesintegerTime taken (in minutes) to respond to the incident0 or more · optional35
Dates and times 3 columns
incident_datetimedatetimeDate and time when the incident occurred2024-04-02T09:24:00
response_initiated_datetimedatetimeDate and time when incident response was initiatedoptional2024-04-02T09:30:00
response_completed_datetimedatetimeDate and time when incident response was completedoptional2024-04-02T10:05:00
True or false 1 column
training_gap_identifiedbooleanIndicates if a training gap was identified as a contributing factortrue

Use it for

  • training gap i…63%47 of 75 rowsmean response time mi…14.3low37.1medi…49.4high80.9crit…

    A technology dashboard

    The training_gap_identified rate, response_time_minutes by incident_severity and a breakdown of training_type_recommended. Excel, Power BI or Tableau.

  • Why do the 12 critical rows have a mean response_time_minutes of 80.9?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable incidents with employee_id, employee_department and employee_location_city to fill a screen in front of a buyer.

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This dataset75 rows20 columns
Yours1,000 rows20 columnsemployee_location_city: UK only

blueprint · remote-team-cybersecurity-incident-logs

Behind this dataset

Same schema. As many rows as you need.

These 75 rows came out of a blueprint — 20 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Each incident must include type, severity, and detection method.
  • Only incidents reported by remote or hybrid team members are logged.
  • Include incident resolution time and follow-up action status.
  • Anonymize sensitive personal and company information.
  • Tag incidents with related training or compliance measures.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
remote-team-cybersecurity-incident-logs

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