Perpetrators of fraud use a range of strategies to scrape data from your web and mobile applications. Automated bots, coded scripts, large-scale strikes and single request attacks can all be launched by traffic posing as genuine users. With comprehensive analysis of traffic behaviours, CyberSiARA differentiates between genuine customers and potentially malicious activity – stopping fraudsters in their tracks.
Once identified through this highly accurate filtration system, potentially malicious traffic is challenged with intuitive enforcement tasks that adapt to match any level of sophistication. Genuine users are able to pass freely, while fraudsters are caught in an increasingly complex trap – ensuring that their planned attack is no longer viable in terms of time and money.
The CyberSiARA platform filters traffic using powerful analytics – verifying genuine users while identifying and eliminating large-scale data scraping attempts.
Adaptive Fraud PreventionMachine Learning that ensures the prevention of attacks by automated bots and humans alike and is effective in the long-term.
Detection of Suspicious ActivityIntelligent analytics that identify suspicious traffic.
Intuitive ChallengesAuthentication challenges that are customised and targeted to eliminate bots, scripted and human-led attacks.