Adaptive Fraud Prevention
Machine Learning ensures that prevention of attacks by automated bots and humans alike is effective in the long-term.
Payment fraud attacks are among the most sophisticated of strategies used by criminals, causing huge losses for businesses worldwide with constantly evolving technologies and methods. The SiARA Shield platform eradicates the potential financial gain of payment fraud, prompting the abandonment of the attempt. This prevents the scaling up of attacks and, instead, stops the fraudsters in their tracks.
This approach is made possible by the customised, targeted challenges that SiARA Shield deploys against traffic identified as suspicious. Adaptive friction means that bots and human criminals become trapped in a maze of obstacles that increase in complexity, ensuring that genuine users pass through easily, while fraudsters are forced to concede defeat.
Long-term prevention of payment fraud is achieved with SiARA Shield. The platform makes any attack too costly in terms of time and resources, stopping fraud in its tracks while also future-proofing your business against further attacks.
Machine Learning ensures that prevention of attacks by automated bots and humans alike is effective in the long-term.
Intelligent analytics combined with intuitive authentication challenges creates a fortified platform that provides optimal protection against current and future threats.
Occupying the space between criminal and target ensures a sophisticated filtration system that provides effective and guaranteed protection.
See how SiARA Shield blocks card testing and payment abuse without CAPTCHA friction.
