GAMESEC05-BP02 Collect, store, and analyze player usage logs to detect inappropriate behavior

Instrument your game to collect logs to understand how players use the features of your game and how they interact with other players. You can then block unauthorized activities that can degrade the player experience. 

Level of risk exposed if this best practice is not established: Medium

Implementation guidance

Send structured log events to the Game Analytics Pipeline, by using a logging solution such as Amazon CloudWatch Logs or Amazon OpenSearch Service, or through a solution from an AWS Partner such as Datadog, Sumo Logic, New Relic, Honeycomb.io, or Splunk. Structure these player usage logs so that they can be used to detect when specific actions by players need to be investigated.

After you have captured the data, consider implementing tools to detect inappropriate usage behavior. For example, if your game has social features such as in-game player messaging, voice chat, or online forums, save logs from these player engagements in a format that can be analyzed for moderation purposes.

Configure your game's voice chat feature to export recordings to Amazon S3 and use Amazon Transcribe to convert the audio speech to text format which can be stored for processing. Alternatively, you can perform real-time streaming transcription by integrating your game backend voice chat service directly with the Transcribe API to transcribe streaming audio in real time. Moderation teams can manually review the content, and once the content is in a standard format, you can also use AWS AI/ML services to perform moderation automatically. Amazon Comprehend can be used to perform natural language processing (NLP) to uncover information from the unstructured text, which can classify and organize the conversations into relevant topics and identify inappropriate behavior such as profanity.

Implementation steps