Instances of automated bot attacks that use newly created accounts are increasing in frequency. Perpetrators stuff fake registrations with stolen credentials and target businesses offering credit deals, or new customer promotions. These attacks can prove to be highly damaging in commercial terms. CyberSiARA deploys comprehensive analytics processes to identify fake account registrations, and applies behavioural knowledge developed in real-time to verify user intent.
When CyberSiARA filters out suspicious accounts in this way, the platform then deploys intuitive interactive challenges. This process allows genuine users to pass quickly, while the efforts of automated bots are consistently frustrated by targeted friction that adapts through Machine Learning.
The detailed technology of the CyberSiARA platform prevents large-scale automated bot attacks designed to target businesses with fake account registrations. Comprehensive analytics and intelligence identifies suspicious traffic behaviours, and intuitive interactive challenges stop the progress of attacks originating from both bots and humans.
Detection of Suspicious ActivityIntelligent analytics combined with intuitive authentication challenges identify suspicious traffic.
Prevention of Single Request AttacksTrained bots, human-led fraud attempts and scripted attacks are stopped in their tracks.
Protection Against Bulk Account FraudLarge-scale fraud attempts are prevented for the long-term.