Ekata identity check API, a provider of global identity verification via APIs and a SaaS solution, helps businesses spot fraudulent transactions resulting in reduced customer friction and lost revenue. The company’s platform uses machine learning to verify identities and spot suspicious patterns across all data points and enables companies to make better risk decisions by providing confidence levels based on validated attributes.
Ekata Identity Check API: Enhancing Identity Verification
Founded in 2019 and recently acquired by Mastercard, Seattle-based ekata offers a product suite that includes a Transaction Risk API for pre-authorization payments, an Account Opening API for online account opening, a Phone Intelligence API for spotting fake numbers and addresses, a Fraud ID API for finding fraud schemes on a global scale and a Manual Review API for more granular decision making on a case-by-case basis. The entire product set is powered by the Ekata Identity Engine, the first cross-border identity data engine that leverages complex machine learning algorithms to link digital transactions with the human behind them.
To keep up with massive query-per-second volume demands and low end-to-end latencies, ekata uses Redis Cloud as its primary database. After testing other solutions, the company found that only Redis could provide the scalability and reliability necessary to support its dataset.
This month, ekata announced the launch of Network Score, a new data attribute that flags potentially risky digital transactions and fraudulent customers by leveraging predictive data insights on how identity information is used online. This new service works alongside the Identity Graph and provides an enhanced confidence level on how risky a given data point is by assessing how it’s being used in the real world.