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Gameplay Cheating Detection
Analyze gaming player behavior and identify cheaters in real time via anomalistic behavior using streaming data pipelines built with Confluent Cloud and AWS Lambda.
Identify Bad Actors with Real-Time Anomaly Detection
When you want to understand the technology driving today’s cutting-edge businesses, start with the $200+ billion global video games industry.
Confluent and Amazon Web Services (AWS) provide the critical architecture powering some of today’s most popular online gaming platforms. Deeply integrated to allow for simple configuration, Confluent Cloud and AWS Lambda are used to detect cheating, identify toxic chat, ban players, and more—all in real time.
Develop a comprehensive understanding of players/customers on your platform.
Establish quantifiable baselines for expected behavior tied to specific activities.
Take real-time action such as suspension with identified cheaters or other bad actors.
Build with Confluent
This use case leverages the following building blocks in Confluent Cloud:
Reference Architecture
Consume player activity from AWS Lambda or any other source in real time to establish a comprehensive snapshot of platform activity.
Continuously process in-game telemetry with Confluent Cloud, a cloud-native data streaming platform built by the original creators of Apache Kafka®.
Configure AWS Lambda functions to natively consume from a Kafka topic within Confluent Cloud and identify anomalies.