Bot Contamination
Bot contamination occurs when automated bot traffic infiltrates web applications, distorting analytics, skewing metrics, and degrading data quality. This contamination can affect everything from user behavior analysis to machine learning training data, leading to poor business decisions and compromised system integrity. Bot contamination is particularly problematic in datasets used for AI training, user research, and performance optimization.
What is Bot Contamination?
Bot contamination refers to the corruption of data and analytics caused by automated bot traffic. When bots interact with websites and applications, they generate fake traffic patterns, skew user metrics, and pollute datasets. This contamination can lead to inaccurate business insights, compromised AI training data, and poor system performance.
Prosopo helps prevent bot contamination through advanced bot detection and access control, ensuring your data remains clean and your analytics accurate.