Fraud Preventer by DomainSkate is a tool designed to automatically detect and mitigate typosquatting. It utilizes a proprietary platform to identify threatening domains and provide daily updates on changes that may indicate an impending attack. The product employs 390 million data references daily, a database of over half a billion domains, and machine learning and fraud detection APIs to combat online attacks by shutting down typosquatting or look-alike domains used by threat actors. Fraud Preventer uses white hat and gray hat techniques to mimic threat actor activity, continuously training AI models to detect fraudulent websites.
