Datasets:
record_id large_string | intelligence_source large_string | intelligence_source_url large_string | country large_string | insider_type large_string | sector large_string | job_role large_string | motivation large_string | threat_action large_string | data_type_accessed large_string | exfiltration_method large_string | access_method large_string | tenure_months int64 | salary_usd_monthly int64 | performance_issue int64 | disciplinary_action int64 | recent_promotion_denied int64 | termination_notice_given int64 | financial_stress_indicators int64 | lifestyle_incongruence int64 | foreign_contact_suspicious int64 | second_job_conflict int64 | gambling_addiction int64 | substance_abuse int64 | admin_access int64 | database_access int64 | financial_system_access int64 | physical_server_access int64 | master_key_holder int64 | payment_system_access int64 | biometric_database_access int64 | classified_document_access int64 | customer_facing_system_access int64 | vendor_management_access int64 | after_hours_access int64 | weekend_access int64 | remote_access_used int64 | multiple_failed_logins int64 | log_deletion_attempt int64 | unauthorized_software_install int64 | usb_device_connected int64 | cloud_upload_spike int64 | print_volume_spike int64 | email_attachment_unusual int64 | database_query_volume_spike int64 | access_from_unusual_location int64 | mfa_bypass_attempt int64 | shared_credentials_used int64 | credentials_on_dark_web int64 | records_exfiltrated int64 | financial_loss_usd int64 | customers_affected int64 | data_sold_on_dark_web int64 | data_shared_with_competitor int64 | data_shared_with_foreign_gov int64 | service_disruption_hours int64 | regulatory_breach int64 | reputational_damage int64 | legal_action_taken int64 | detected int64 | time_to_detect_days int64 | detected_by large_string | employee_terminated int64 | arrested int64 | prosecuted int64 | civil_suit_filed int64 | security_policy_updated int64 | access_controls_tightened int64 | monitoring_improved int64 | vendor_audit_conducted int64 | label int64 | is_synthetic int64 | employment_risk_score int64 | performance_issue.1 int64 | disciplinary_action.1 int64 | promotion_denied int64 | termination_notice int64 | financial_stress int64 | lifestyle_incongruence.1 int64 | foreign_contact_suspicious.1 int64 | second_job_conflict.1 int64 | gambling_addiction.1 int64 | substance_abuse.1 int64 | high_risk_employee int64 | disgruntled_profile int64 | financial_pressure_profile int64 | tenure_months.1 int64 | log_tenure float64 | short_tenure int64 | long_tenure int64 | salary_usd_monthly.1 int64 | low_salary int64 | high_salary int64 | admin_access.1 int64 | database_access.1 int64 | financial_system_access.1 int64 | physical_server_access.1 int64 | master_key_holder.1 int64 | payment_system_access.1 int64 | biometric_database_access.1 int64 | classified_document_access.1 int64 | customer_facing_system_access.1 int64 | vendor_management_access.1 int64 | privilege_score int64 | high_privilege int64 | critical_access int64 | data_custodian int64 | financial_gatekeeper int64 | physical_access int64 | after_hours_access.1 int64 | weekend_access.1 int64 | remote_access_used.1 int64 | failed_logins int64 | log_deletion_attempt.1 int64 | unauthorized_software int64 | usb_connected int64 | cloud_upload_spike.1 int64 | print_spike int64 | email_attachment_unusual.1 int64 | database_query_spike int64 | unusual_location int64 | mfa_bypass_attempt.1 int64 | shared_credentials int64 | credentials_dark_web int64 | anomaly_score int64 | high_anomaly int64 | data_exfil_indicators int64 | persistence_indicators int64 | credential_compromise_indicators int64 | off_hours_pattern int64 | log_records_exfiltrated float64 | log_financial_loss float64 | log_customers_affected float64 | records_exfiltrated.1 int64 | financial_loss_usd.1 int64 | customers_affected.1 int64 | data_sold_dark_web int64 | data_shared_competitor int64 | data_shared_foreign_gov int64 | service_disruption_hours.1 int64 | regulatory_breach.1 int64 | reputational_damage.1 int64 | legal_action_taken.1 int64 | high_impact int64 | espionage_indicator int64 | profiteering_indicator int64 | sabotage_indicator int64 | detected.1 int64 | quick_detection int64 | slow_detection int64 | undetected int64 | employee_terminated.1 int64 | arrested.1 int64 | prosecuted.1 int64 | civil_suit int64 | policy_updated int64 | access_tightened int64 | monitoring_improved.1 int64 | vendor_audit int64 | effective_response int64 | accountability int64 | no_consequence int64 | impunity int64 | detected_by_uba int64 | detected_by_dlp int64 | detected_by_employee int64 | detected_by_finance int64 | detected_by_audit int64 | detected_by_whistleblower int64 | detected_by_customer int64 | type_malicious int64 | type_neglectful int64 | type_compromised int64 | type_recruited int64 | type_disgruntled int64 | type_departing int64 | type_contractor int64 | type_temporary int64 | type_executive int64 | type_none int64 | sector_gov int64 | sector_banking int64 | sector_telecom int64 | sector_healthcare int64 | sector_mining int64 | sector_fintech int64 | sector_education int64 | sector_energy int64 | sector_ecommerce int64 | sector_ngo int64 | sector_media int64 | motivation_financial int64 | motivation_revenge int64 | motivation_ideology int64 | motivation_espionage int64 | motivation_coercion int64 | motivation_accidental int64 | motivation_none int64 | action_exfiltration int64 | action_unauthorized_access int64 | action_backdoor int64 | action_funds_fraud int64 | action_sabotage int64 | action_ip_theft int64 | action_credential_sale int64 | action_privilege_abuse int64 | action_none int64 | role_admin int64 | role_finance int64 | role_it_support int64 | role_customer_facing int64 | role_executive int64 | role_hr int64 | role_security int64 | role_research int64 | exfil_usb int64 | exfil_email int64 | exfil_cloud int64 | exfil_messaging int64 | exfil_physical int64 | exfil_remote int64 | exfil_steganography int64 | exfil_database int64 | exfil_api int64 | exfil_none int64 | access_legitimate int64 | access_stolen int64 | access_shared int64 | access_backdoor int64 | access_escalation int64 | access_after_hours int64 | access_remote int64 | access_physical int64 | access_social_engineering int64 | access_vendor int64 | data_biometric int64 | data_financial int64 | data_customer_pii int64 | data_source_code int64 | data_mining int64 | data_health int64 | data_mobile_money int64 | data_payment int64 | data_gov_classified int64 | data_research int64 | data_none int64 | is_west_africa int64 | is_east_africa int64 | is_southern_africa int64 | is_north_africa int64 | high_risk_country int64 | insider_threat_score int64 | insider_vulnerability_score int64 | organizational_response_score int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
INSD001501 | Verizon DBIR 2024 | https://www.verizon.com/business/resources/reports/dbir/ | Ghana | neglectful_insider | energy_utilities | research_scientist | financial_gain | intellectual_property_theft | telecom_subscriber_data | usb_external_drive | stolen_colleague_credentials | 71 | 1,165 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 2 | 6,122 | 424 | 1 | 0 | 1 | 72 | 1 | 1 | 0 | 1 | 297 | endpoint_detection | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 71 | 1.85 | 0 | 1 | 1,165 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 3 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 11 | 1 | 1 | 1 | 1 | 1 | 0.3 | 3.79 | 2.63 | 2 | 6,122 | 424 | 1 | 0 | 1 | 72 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 57 | 10 | 3 |
INSD002586 | SANS Insider Threat Survey 2024 | https://www.sans.org/white-papers/ | Ethiopia | disgruntled_employee | banking_financial_services | hr_manager | personal_grievance | unauthorized_access_elevation | citizen_biometric_data | database_dump_local | legitimate_credentials | 51 | 5,461 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 49 | 62,301 | 4 | 0 | 1 | 0 | 48 | 0 | 0 | 0 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 51 | 1.71 | 0 | 0 | 5,461 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 3 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 7 | 1 | 1 | 1 | 1 | 0 | 1.69 | 4.79 | 0.6 | 49 | 62,301 | 4 | 0 | 1 | 0 | 48 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 39 | 7 | -8 |
INSD002653 | INTERPOL Africa Cyberthreat Assessment 2025 | https://www.interpol.int/en/News-and-Events/News/2025/New-INTERPOL-report-warns-of-sharp-rise-in-cybercrime-in-Africa | Nigeria | contractor_vendor | mining_resources | finance_accountant | ideology_political | sabotage_destruction | customer_pii | physical_document_removal | after_hours_unauthorized | 35 | 540 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 4,494 | 1,848,719 | 2 | 0 | 1 | 1 | 168 | 0 | 0 | 0 | 1 | 130 | user_behavior_analytics | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 4 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 35 | 1.54 | 0 | 0 | 540 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 3 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 7 | 1 | 1 | 0 | 1 | 1 | 3.65 | 6.27 | 0.3 | 4,494 | 1,848,719 | 2 | 0 | 1 | 1 | 168 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 50 | 7 | 3 |
INSD001055 | ACFE Report to the Nations 2024 | https://www.acfe.com/report-to-the-nations/2024/ | Algeria | neglectful_insider | mobile_money_fintech | software_developer | accidental_negligence | intellectual_property_theft | mining_geological_surveys | cloud_storage_upload | remote_access_vpn_compromised | 229 | 460 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 6,983 | 580,990 | 90,226 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 274 | audit_log_review | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 3 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 229 | 2.36 | 0 | 1 | 460 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 4 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 1 | 0 | 0 | 0 | 3.84 | 5.76 | 4.96 | 6,983 | 580,990 | 90,226 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 31 | 2 | 5 |
INSD000705 | Ponemon Institute Cost of Insider Threats | https://ibm.com/security/data-breach | Egypt | neglectful_insider | mining_resources | finance_accountant | financial_gain | fraudulent_transaction_processing | financial_records | usb_external_drive | social_engineering_it_helpdesk | 64 | 119 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 517 | 229,669 | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 4 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 64 | 1.81 | 0 | 1 | 119 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 4 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 0 | 1 | 1 | 1 | 0 | 2.71 | 5.36 | 0.95 | 517 | 229,669 | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 39 | 10 | -8 |
INSD000106 | INTERPOL Africa Cyberthreat Assessment 2025 | https://www.interpol.int/en/News-and-Events/News/2025/New-INTERPOL-report-warns-of-sharp-rise-in-cybercrime-in-Africa | Ethiopia | malicious_insider | telecommunications | call_center_agent | ideology_political | intellectual_property_theft | citizen_biometric_data | usb_external_drive | privilege_escalation_exploit | 58 | 1,255 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 7 | 3,236 | 80 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 4 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 58 | 1.76 | 0 | 0 | 1,255 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 1 | 1 | 1 | 1 | 0 | 0.85 | 3.51 | 1.9 | 7 | 3,236 | 80 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 38 | 10 | -8 |
INSD000589 | INTERPOL Africa Cyberthreat Assessment 2025 | https://www.interpol.int/en/News-and-Events/News/2025/New-INTERPOL-report-warns-of-sharp-rise-in-cybercrime-in-Africa | Nigeria | compromised_account | mining_resources | field_engineer | accidental_negligence | funds_transfer_fraud | telecom_subscriber_data | telegram_file_transfer | shared_account_password | 28 | 230 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 78,494 | 163,242 | 456 | 0 | 0 | 1 | 72 | 0 | 0 | 0 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 28 | 1.45 | 0 | 0 | 230 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 6 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 3 | 0 | 0 | 1 | 1 | 0 | 4.89 | 5.21 | 2.66 | 78,494 | 163,242 | 456 | 0 | 0 | 1 | 72 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 38 | 10 | -8 |
INSD002468 | Ponemon Institute Cost of Insider Threats | https://ibm.com/security/data-breach | Kenya | malicious_insider | telecommunications | procurement_officer | revenge_disgruntlement | funds_transfer_fraud | health_records | remote_desktop_file_copy | remote_access_vpn_compromised | 56 | 4,606 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 3 | 37,081,573 | 94 | 0 | 1 | 0 | 24 | 0 | 0 | 0 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 3 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 56 | 1.75 | 0 | 0 | 4,606 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 5 | 1 | 1 | 1 | 1 | 0 | 0.48 | 7.57 | 1.97 | 3 | 37,081,573 | 94 | 0 | 1 | 0 | 24 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 43 | 10 | -8 |
INSD002413 | INTERPOL Africa Cyberthreat Assessment 2025 | https://www.interpol.int/en/News-and-Events/News/2025/New-INTERPOL-report-warns-of-sharp-rise-in-cybercrime-in-Africa | Nigeria | compromised_account | ecommerce_retail | network_engineer | coercion_blackmail | unauthorized_access_elevation | mining_geological_surveys | physical_document_removal | legitimate_credentials | 6 | 1,354 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 9 | 42,545 | 209 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 170 | dlp_system_alert | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 0.78 | 1 | 0 | 1,354 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 5 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 3 | 0 | 1 | 1 | 1 | 0 | 0.95 | 4.63 | 2.32 | 9 | 42,545 | 209 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 31 | 7 | -5 |
INSD001600 | Verizon DBIR 2024 | https://www.verizon.com/business/resources/reports/dbir/ | Cote d'Ivoire | contractor_vendor | mobile_money_fintech | mobile_money_agent | identity_theft_facilitation | data_exfiltration | health_records | cloud_storage_upload | physical_access_overnight | 8 | 598 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 76,073 | 49,911,870 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 4 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 8 | 0.9 | 1 | 0 | 598 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 5 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 1 | 1 | 1 | 0 | 4.88 | 7.7 | 0.9 | 76,073 | 49,911,870 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 44 | 6 | -8 |
INSD002464 | Ponemon Institute Cost of Insider Threats | https://ibm.com/security/data-breach | Ethiopia | malicious_insider | telecommunications | security_guard | identity_theft_facilitation | infrastructure_sabotage | mining_geological_surveys | usb_external_drive | stolen_colleague_credentials | 68 | 550 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 74 | 41,899,285 | 62 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 178 | failed_login_monitoring | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 68 | 1.83 | 0 | 1 | 550 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 0 | 1 | 1 | 0 | 0 | 1.87 | 7.62 | 1.79 | 74 | 41,899,285 | 62 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 35 | 2 | -3 |
INSD000228 | Verizon DBIR 2024 | https://www.verizon.com/business/resources/reports/dbir/ | South Africa | malicious_insider | manufacturing | hr_manager | personal_grievance | procurement_fraud | student_academic_records | whatsapp_file_transfer | legitimate_credentials | 6 | 110 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 8,784 | 41,578 | 0 | 0 | 1 | 48 | 1 | 1 | 0 | 1 | 325 | security_guard_report | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 5 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 6 | 0.78 | 1 | 0 | 110 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 1 | 1 | 1 | 0 | 3.94 | 4.62 | 1 | 8,784 | 41,578 | 0 | 0 | 1 | 48 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 40 | 6 | 3 |
INSD000915 | Verizon DBIR 2024 | https://www.verizon.com/business/resources/reports/dbir/ | Kenya | disgruntled_employee | energy_utilities | customer_service_rep | curiosity_unauthorized_access | funds_transfer_fraud | telecom_subscriber_data | email_personal_account | social_engineering_it_helpdesk | 12 | 638 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 358 | 8,308,487 | 63,283 | 0 | 0 | 0 | 24 | 1 | 1 | 0 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 3 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 12 | 1.08 | 0 | 0 | 638 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 7 | 1 | 1 | 1 | 1 | 1 | 2.55 | 6.92 | 4.8 | 358 | 8,308,487 | 63,283 | 0 | 0 | 0 | 24 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 57 | 10 | -8 |
INSD000794 | INTERPOL Africa Cyberthreat Assessment 2025 | https://www.interpol.int/en/News-and-Events/News/2025/New-INTERPOL-report-warns-of-sharp-rise-in-cybercrime-in-Africa | South Africa | compromised_account | telecommunications | database_administrator | financial_gain | data_exfiltration | trade_secrets | whatsapp_file_transfer | physical_access_overnight | 65 | 1,073 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 3 | 22,965 | 548 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 154 | financial_reconciliation | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 4 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 65 | 1.81 | 0 | 1 | 1,073 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 4 | 0 | 1 | 0 | 0 | 1 | 0.48 | 4.36 | 2.74 | 3 | 22,965 | 548 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 34 | 0 | 9 |
INSD003021 | ACFE Report to the Nations 2024 | https://www.acfe.com/report-to-the-nations/2024/ | Ghana | disgruntled_employee | government_public_sector | research_scientist | ideology_political | funds_transfer_fraud | infrastructure_schematics | whatsapp_file_transfer | legitimate_credentials | 140 | 342 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 17,304 | 60,038 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 140 | 2.15 | 0 | 1 | 342 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 5 | 1 | 1 | 1 | 1 | 0 | 4.24 | 4.78 | 0 | 17,304 | 60,038 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 28 | 12 | -8 |
INSD003543 | ACFE Report to the Nations 2024 | https://www.acfe.com/report-to-the-nations/2024/ | Nigeria | compromised_account | government_public_sector | research_scientist | financial_gain | payroll_fraud | vendor_pricing | webmail_gmail_yahoo | stolen_colleague_credentials | 203 | 979 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 81 | 5,205,372 | 13 | 1 | 1 | 0 | 168 | 0 | 1 | 1 | 1 | 155 | failed_login_monitoring | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 203 | 2.31 | 0 | 1 | 979 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 5 | 1 | 1 | 1 | 1 | 0 | 1.91 | 6.72 | 1.11 | 81 | 5,205,372 | 13 | 1 | 1 | 0 | 168 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 37 | 10 | 5 |
INSD001073 | Ponemon Institute Cost of Insider Threats | https://ibm.com/security/data-breach | South Africa | recruited_by_external_actor | government_public_sector | system_administrator | financial_gain | data_exfiltration | financial_records | email_personal_account | stolen_colleague_credentials | 21 | 4,333 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 34,926 | 87,899 | 97 | 1 | 0 | 0 | 72 | 1 | 0 | 1 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 21 | 1.32 | 0 | 0 | 4,333 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 8 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 5 | 1 | 1 | 1 | 1 | 1 | 4.54 | 4.94 | 1.99 | 34,926 | 87,899 | 97 | 1 | 0 | 0 | 72 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 49 | 10 | -8 |
INSD003351 | SANS Insider Threat Survey 2024 | https://www.sans.org/white-papers/ | Ethiopia | neglectful_insider | agriculture_agtech | social_media_manager | financial_gain | account_creation_backdoor | procurement_contracts | email_personal_account | backdoor_account_created | 69 | 347 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 75,130 | 9,350,558 | 13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 69 | 1.84 | 0 | 1 | 347 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 1 | 1 | 0 | 0 | 4.88 | 6.97 | 1.11 | 75,130 | 9,350,558 | 13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 21 | 4 | -8 |
INSD001744 | INTERPOL Africa Cyberthreat Assessment 2025 | https://www.interpol.int/en/News-and-Events/News/2025/New-INTERPOL-report-warns-of-sharp-rise-in-cybercrime-in-Africa | South Africa | recruited_by_external_actor | telecommunications | software_developer | financial_gain | data_exfiltration | trade_secrets | whatsapp_file_transfer | remote_access_vpn_compromised | 111 | 102 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 6,442 | 66 | 1 | 0 | 0 | 168 | 0 | 0 | 1 | 1 | 24 | database_activity_monitoring | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 111 | 2.05 | 0 | 1 | 102 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 4 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 8 | 1 | 1 | 1 | 1 | 1 | 0.48 | 3.81 | 1.82 | 3 | 6,442 | 66 | 1 | 0 | 0 | 168 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 43 | 7 | 3 |
INSD001084 | INTERPOL Africa Cyberthreat Assessment 2025 | https://www.interpol.int/en/News-and-Events/News/2025/New-INTERPOL-report-warns-of-sharp-rise-in-cybercrime-in-Africa | Mozambique | compromised_account | mobile_money_fintech | network_engineer | financial_gain | unauthorized_access_elevation | vendor_pricing | api_abuse_bulk_download | shared_account_password | 182 | 511 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 676,121 | 4,329,076 | 99 | 1 | 0 | 1 | 168 | 0 | 1 | 0 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 4 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 182 | 2.26 | 0 | 1 | 511 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 1 | 1 | 1 | 1 | 1 | 5.83 | 6.64 | 2 | 676,121 | 4,329,076 | 99 | 1 | 0 | 1 | 168 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 50 | 7 | -8 |
INSD000926 | INTERPOL Africa Cyberthreat Assessment 2025 | https://www.interpol.int/en/News-and-Events/News/2025/New-INTERPOL-report-warns-of-sharp-rise-in-cybercrime-in-Africa | Egypt | departing_employee | healthcare | system_administrator | financial_gain | data_exfiltration | telecom_subscriber_data | social_media_dm | bypass_mfa_social_engineering | 39 | 596 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 361 | 9,134 | 93,913 | 0 | 1 | 0 | 48 | 1 | 1 | 1 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 39 | 1.59 | 0 | 0 | 596 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | 0 | 1 | 1 | 0 | 2.56 | 3.96 | 4.97 | 361 | 9,134 | 93,913 | 0 | 1 | 0 | 48 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 24 | 8 | -8 |
INSD003049 | ACFE Report to the Nations 2024 | https://www.acfe.com/report-to-the-nations/2024/ | Kenya | malicious_insider | mobile_money_fintech | it_support_technician | ideology_political | intellectual_property_theft | telecom_subscriber_data | cloud_storage_upload | backdoor_account_created | 37 | 13,022 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 9,056 | 3,177,673 | 60 | 1 | 0 | 0 | 48 | 1 | 0 | 1 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 37 | 1.57 | 0 | 0 | 13,022 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 0 | 1 | 1 | 1 | 0 | 3.96 | 6.5 | 1.78 | 9,056 | 3,177,673 | 60 | 1 | 0 | 0 | 48 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 29 | 5 | -8 |
INSD001117 | INTERPOL Africa Cyberthreat Assessment 2025 | https://www.interpol.int/en/News-and-Events/News/2025/New-INTERPOL-report-warns-of-sharp-rise-in-cybercrime-in-Africa | South Africa | recruited_by_external_actor | government_public_sector | executive_director | coercion_blackmail | funds_transfer_fraud | vendor_pricing | whatsapp_file_transfer | backdoor_account_created | 227 | 3,954 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 19 | 38,589 | 22,473 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 227 | 2.36 | 0 | 1 | 3,954 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 7 | 1 | 1 | 1 | 1 | 0 | 1.28 | 4.59 | 4.35 | 19 | 38,589 | 22,473 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 41 | 10 | -8 |
INSD000642 | Verizon DBIR 2024 | https://www.verizon.com/business/resources/reports/dbir/ | Cameroon | departing_employee | ngo_humanitarian | executive_director | financial_gain | data_exfiltration | research_ip_patents | webmail_gmail_yahoo | bypass_mfa_social_engineering | 7 | 416 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 56,617 | 5,888,221 | 209 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 7 | 0.85 | 1 | 0 | 416 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 5 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 0 | 1 | 1 | 0 | 0 | 4.75 | 6.77 | 2.32 | 56,617 | 5,888,221 | 209 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 41 | 5 | -8 |
INSD004767 | Ponemon Institute Cost of Insider Threats | https://ibm.com/security/data-breach | Kenya | neglectful_insider | telecommunications | mobile_money_agent | financial_gain | unauthorized_access_elevation | health_records | whatsapp_file_transfer | backdoor_account_created | 142 | 1,476 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 92 | 52,174 | 96 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 3 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 142 | 2.15 | 0 | 1 | 1,476 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 4 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 6 | 1 | 1 | 1 | 1 | 0 | 1.96 | 4.72 | 1.98 | 92 | 52,174 | 96 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 52 | 10 | -8 |
INSD000501 | INTERPOL Africa Cyberthreat Assessment 2025 | https://www.interpol.int/en/News-and-Events/News/2025/New-INTERPOL-report-warns-of-sharp-rise-in-cybercrime-in-Africa | Nigeria | malicious_insider | mining_resources | finance_accountant | ideology_political | customer_data_theft | mining_geological_surveys | cloud_storage_upload | physical_access_overnight | 80 | 1,270 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 447,315 | 447,805 | 70 | 1 | 0 | 1 | 24 | 0 | 0 | 0 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 80 | 1.9 | 0 | 1 | 1,270 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 4 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 8 | 1 | 1 | 1 | 1 | 1 | 5.65 | 5.65 | 1.85 | 447,315 | 447,805 | 70 | 1 | 0 | 1 | 24 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 54 | 10 | -8 |
INSD004066 | Verizon DBIR 2024 | https://www.verizon.com/business/resources/reports/dbir/ | Kenya | malicious_insider | media_journalism | database_administrator | accidental_negligence | payroll_fraud | mobile_money_transaction_logs | usb_external_drive | privilege_escalation_exploit | 99 | 10,435 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 4,262 | 28,942,579 | 48 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | undetected | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 3 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 99 | 2 | 0 | 1 | 10,435 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 1 | 1 | 1 | 1 | 0 | 3.63 | 7.46 | 1.68 | 4,262 | 28,942,579 | 48 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 45 | 7 | -8 |
INSD000333 | INTERPOL Africa Cyberthreat Assessment 2025 | https://www.interpol.int/en/News-and-Events/News/2025/New-INTERPOL-report-warns-of-sharp-rise-in-cybercrime-in-Africa | Kenya | executive_fraud | government_public_sector | system_administrator | financial_gain | fraudulent_transaction_processing | citizen_biometric_data | voip_file_transfer | legitimate_credentials | 10 | 371 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 2,314 | 428,104 | 588 | 0 | 0 | 0 | 168 | 0 | 1 | 0 | 1 | 103 | employee_report | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 10 | 1 | 1 | 0 | 371 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 6 | 1 | 1 | 1 | 1 | 1 | 3.36 | 5.63 | 2.77 | 2,314 | 428,104 | 588 | 0 | 0 | 0 | 168 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 35 | 13 | -3 |
INSD004684 | INTERPOL Africa Cyberthreat Assessment 2025 | https://www.interpol.int/en/News-and-Events/News/2025/New-INTERPOL-report-warns-of-sharp-rise-in-cybercrime-in-Africa | Kenya | malicious_insider | mining_resources | hr_manager | financial_gain | data_exfiltration | security_system_access_logs | webmail_gmail_yahoo | backdoor_account_created | 7 | 1,862 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2,125 | 47,218,967 | 48,432 | 0 | 0 | 0 | 168 | 0 | 1 | 1 | 1 | 300 | user_behavior_analytics | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 3 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 7 | 0.85 | 1 | 0 | 1,862 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 3 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 1 | 1 | 1 | 1 | 1 | 3.33 | 7.67 | 4.69 | 2,125 | 47,218,967 | 48,432 | 0 | 0 | 0 | 168 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 46 | 11 | 3 |
Insider Threat Intelligence (Africa) | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: parquet, optimized-parquet - Sector: governance_security - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Public datasets help analysts inspect structured evidence, build reproducible workflows, and compare patterns across domains.
Dataset context from the existing Hugging Face card: Insider Threat Intelligence — Africa Cyber Threat Intelligence Part of the Africa Cyber Threat Intelligence collection by electricsheepafrica. Acquisition: SYNTHETIC Rows: 10,000 (balanced 50/50) Synthetic: All records are synthetic (is_synthetic=1), based on real-world research data. Usage from datasets import load_dataset dataset = load_dataset("electricsheepafrica/africa-insider-threat") Overview This dataset models insider threat incidents in… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-insider-threat.
Dataset Profile
| Field | Value |
|---|---|
| Hugging Face repo | electricsheepafrica/africa-insider-threat |
| Sector | governance_security |
| Topic tags | cybersecurity, classification, insider-threat, data-exfiltration, fraud, espionage |
| Modalities | tabular, text |
| Formats | parquet, optimized-parquet |
| Size category | 10K<n<100K |
| Countries | Africa-wide or source-defined African coverage |
| ISO3 coverage | not declared |
| Last modified on HF | 2026-05-15 20:24:11+00:00 |
| Inventory snapshot | 2026-07-16T16:00:34Z |
How To Read This Dataset
- Start from the repository files and the dataset viewer when available.
- Treat the README context as a fast orientation layer; confirm variable definitions and units in the data files before modeling.
- Use explicit country columns when present. When geography is only implied by the title or source metadata, document that assumption in downstream analysis.
- Preserve missing values until you have a defensible imputation rule.
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-insider-threat")
print(ds)
split_name = next(iter(ds))
table = ds[split_name]
print(table.features)
print(table[:3])
Convert To Pandas When Tabular
from datasets import Dataset
first_split = ds[next(iter(ds))]
if isinstance(first_split, Dataset):
df = first_split.to_pandas()
print(df.head())
Data Quality Notes
- This card was standardized from the Electric Sheep Africa Hugging Face metadata inventory.
- Exact schema, row counts, and source files should be inspected in the repository data files.
- Metadata gaps from the inventory: country, upstream_publisher.
- Do not infer policy meaning from labels alone; confirm definitions, units, and methods in the source material.
Source And Provenance
- Source context: Electric Sheep Africa metadata inventory
- Publisher/source attribution: Public dataset metadata
- License: mit
- Hugging Face URL: https://huggingface.co/datasets/electricsheepafrica/africa-insider-threat
- Inventory retrieved at:
2026-07-16T16:00:34Z
Suggested Analyses
- Inspect schema and missingness before modeling.
- Profile variables by geography, time, and subgroup columns where present.
- Join with other Electric Sheep Africa datasets using explicit country, year, and indicator fields when available.
- Build reproducible notebooks that cite both the original source context and the Electric Sheep Africa Hugging Face repo.
Citation
@misc{electric_sheep_africa_africa_insider_threat_2026,
title = {Insider Threat Intelligence (Africa) | Africa (Electric Sheep Africa metadata inventory)},
author = {Public dataset metadata},
year = {2026},
url = {https://huggingface.co/datasets/electricsheepafrica/africa-insider-threat},
publisher = {Hugging Face Datasets, engineered by Electric Sheep Africa},
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-insider-threat}}
}
License
Released under mit.
Original source rights remain with the original publisher or data provider. Electric Sheep Africa engineering standardizes discovery metadata, documentation, and usage guidance for analysis on Hugging Face.
About Electric Sheep Africa
Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.
Provenance: metadata-backed README standardized 2026-08-12 by the Electric Sheep Africa README system. Inventory source: catalog/esa_metadata_inventory/master_metadata.jsonl.
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