Advanced attributes from the client environment that are strong indicators of automation.
Kasada’s client sensors generate an array of data that is collected from the client interrogation process.
The backend telemetry processing that decides if the client is human or automation.
When bots imitating human users interact with your application, they leave certain traces of themselves within the client environment. Kasada’s invisible client interrogation process detects the presence of such traces and uses the telemetry in our decision engine to detect and stop attacks.
Makes automated attacks financially unviable and painfully slow by hitting the attackers where it hurts – their wallets
Without informing the attacker, clients must solve an increasingly difficult cryptographic challenge as a proof of work. This results in expensive CPU work for bots and exhausts their compute resources.
Kasada’s Threat Research and Security Engineering teams conduct deep analysis of adversarial techniques and traffic patterns.
Our comprehensive understanding of automation toolkits allows us to build sophisticated data analysis models to enhance the protection of our customers.