• Gaming
  • 20 columns
  • 120 rows
  • 8 formats

Gaming Anti-Cheat Event Monitor

This dataset provides detailed, event-level logs of anti-cheat detections and responses across online gaming platforms. It enables operational teams to analyze cheating patterns, evaluate response effectiveness, and support compliance reporting, ensuring fair play and platform security. The schema supports granular analysis by player, game, method, and outcome, making it valuable for both operational monitoring and strategic improvement.

  • last updated 6 Jan 2026
  • by GoMask
The brief that made it

Operational monitoring and incident response for anti-cheat systems

Sample rows

preview · 8 of 120 rows · all 20 columns
event_idstringresponse_actionstringresponse_duration_secondsfloatis_false_positivebooleanevent_typestringevent_timestampdatetimeplayer_idstringplayer_usernamestringgame_idstringgame_titlestringserver_idstringevent_severitystringdetection_methodstringcheat_signature_idstringresponse_timestampdatetimeresponding_operator_idstringcompliance_flagbooleanplatformstringregionstringevent_descriptionstring
evt-001a2B3Ctemporary-ban120falsespeed-hack2024-04-04T13:09:15Zplr-1001PhoenixRidergm-001Arena Legendssrv-NA01highheuristicsig-SH0012024-04-04T13:11:15Zsys-NA1truePCNASpeed hack detected by heuristic system. Player's movement exceeded expected thresholds.
evt-0f4gY8K9permanent-ban18000falseaimbot2024-04-05T08:23:30Zplr-1002BattleMagegm-002Battle Kingssrv-EU03criticalAIsig-AB0132024-04-05T13:23:30Zsys-EU2truePCEUAI system flagged abnormal aiming patterns consistent with aimbot usage.
evt-92Xj7U6zmonitoring70truewallhack2024-04-06T17:45:00Zplr-1003UrbanTigergm-003Urban Opssrv-ASIA02mediummanualblank2024-04-06T17:46:10Zadm-ASIA1falseMobileASIAOperator manually reviewed suspicious visibility through walls.
evt-l8k4J2pTwarning60falseexploit2024-04-07T22:15:42Zplr-1004MysticQueengm-004Mystic Questsrv-NA05lowmanualblank2024-04-07T22:16:42Zadm-NA2falsePCNAManual review confirmed exploit of in-game currency bug.
evt-3h9Vf2Lmpermanent-ban32400falseban2024-04-08T10:01:11Zplr-1005CosmoRidergm-005Cosmos Raiderssrv-EU02criticalAIsig-BN0012024-04-08T19:01:11Zsys-EU1trueXboxEUAI system flagged persistent cheating behavior, ban issued.
evt-6M3N2b7Ztemporary-ban250falsespeed-hack2024-04-09T01:34:57Zplr-1006ZeroFoxgm-001Arena Legendssrv-NA07highsignaturesig-SH0092024-04-09T01:39:07Zsys-NA2truePCNASignature-based system detected speed-hack pattern.
evt-Q7d5L0mRpermanent-ban14400falseaimbot2024-04-10T12:00:00Zplr-1007ShadowWolfgm-002Battle Kingssrv-EU04criticalAIsig-AB0202024-04-10T16:00:00Zsys-EU3truePCEUAI flagged extremely accurate shooting patterns.
evt-5g7k1P9qmonitoring120truewallhack2024-04-11T05:15:30Zplr-1008SilentStormgm-003Urban Opssrv-ASIA01mediummanualblank2024-04-11T05:17:30Zadm-ASIA2falseMobileASIAOperator review observed player tracking through walls.

What the 120 rows show

from the 120-row sample

Monitoring (response action) stands out: 25 of its 25 rows have is_false_positive = true, against 1 of 95 for the rest.

  • 22%is_false_positive = true
  • 180median response_duration_seconds
  • 3regions
  • 4event severities
  • 5games
  • 5game titles
Is false positive rate by response_actionis_false_positive = true
0%50%100%0%temporar…0 of 440%permanen…0 of 315%warning1 of 20100%monitori…25 of 25
response_duration_seconds120 rows, in bands of 10k
05010010087120002050k90kresponse_duration_seconds →

Median 180, from 6 to 86,400.

event_type120 rows · 6 values
  1. speed-hack28
  2. aimbot24
  3. wallhack22
  4. exploit21
  5. ban18
  6. other7
20 columns by typefrom the column list below
  • string 15
  • float 1
  • datetime 2
  • boolean 2

Columns

20 columns in four groups
blueprint · 20 columns
columntypedescriptionexample
Text 15 columns
event_idstringUnique identifier for the anti-cheat event log entryuniqueevt-001a2B3C
player_idstringUnique identifier for the player involved in the eventplr-1001
player_usernamestringUsername of the player involved in the eventoptionalPhoenixRider
game_idstringUnique identifier for the game where the event occurred5 gamesgm-001
game_titlestringTitle of the game where the event occurred5 titles · optionalArena Legends
server_idstringIdentifier for the server where the event was detectedoptionalsrv-NA01
event_typestringType of anti-cheat event (e.g., speed-hack, aimbot, wallhack, exploit, ban, warning)7 valuesspeed-hack
event_severitystringSeverity level of the event (e.g., low, medium, high, critical)low · medium · high · criticalhigh
detection_methodstringMethod or system that detected the anti-cheat event (e.g., heuristic, signature, manual, AI)heuristic · signature · manual · AI · otherheuristic
cheat_signature_idstringIdentifier for the cheat signature or rule triggeredoptionalsig-SH001
event_descriptionstringDetailed description of the event and contextoptionalSpeed hack detected by he…
response_actionstringAction taken in response to the event (e.g., temporary-ban, permanent-ban, warning, monitoring, none)6 valuestemporary-ban
responding_operator_idstringIdentifier for the operator or automated system that executed the responseoptionalsys-NA1
platformstringPlatform where the event was detected (e.g., PC, Xbox, PlayStation, Mobile)PC · Xbox · PlayStation · Mobile · Other · optionalPC
regionstringGeographical region or server cluster (e.g., NA, EU, ASIA)3 regions · optionalNA
Numbers 1 column
response_duration_secondsfloatTime taken (in seconds) from event detection to response action0 or more · optional120
Dates and times 2 columns
event_timestampdatetimeDate and time when the anti-cheat event was detected2024-04-04T13:09:15Z
response_timestampdatetimeDate and time when the response action was executedoptional2024-04-04T13:11:15Z
True or false 2 columns
is_false_positivebooleanIndicates if the event was later determined to be a false positiveoptionalfalse
compliance_flagbooleanIndicates if the event was flagged for compliance review/reportingoptionaltrue

Use it for

  • is false posit…22%26 of 120 rowsmean response duratio…474.3temp…19.8kperm…52.3warn…146.0moni…

    A gaming dashboard

    The is_false_positive rate, response_duration_seconds by response_action and a breakdown of event_type. Excel, Power BI or Tableau.

  • Why do 26 of 120 rows have is_false_positive = true?

    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 events with event_timestamp, player_id and player_username to fill a screen in front of a buyer.

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This dataset120 rows20 columns
Yours1,000 rows20 columnsregion: UK only

blueprint · gaming-anti-cheat-event-monitor

Behind this dataset

Same schema. As many rows as you need.

These 120 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 row represents a unique anti-cheat event detected by the system.
  • Include timestamp, event type, severity, player ID (anonymized), and action taken.
  • Events must be classified as automated detection or player-reported.
  • Include response time (seconds) from detection to resolution.
  • Flag repeat offenders and escalation level if applicable.
Rows
Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
gaming-anti-cheat-event-monitor

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