Jumio Launches Continuous Identity Risk Monitoring Solution
KUALA LUMPUR, May 5 (Bernama) -- Jumio, an artificial intelligence (AI)-powered identity intelligence provider, has launched Jumio Watch, a continuous identity intelligence solution designed to improve how organisations manage identity risk.
The solution moves identity verification beyond a one-time onboarding decision by continuously analysing identity signals to detect changes in risk over time.
In a statement, Jumio said early studies show up to a 25 per cent increase in risk detection after initial onboarding, as new intelligence enables organisations to reassess previously approved users.
“Risk evolves, and so should identity strategy. With Jumio Watch, we are giving customers the ability to detect risk that only becomes visible over time, moving beyond static onboarding decisions,” said Jumio president and chief product and technology officer, Bala Kumar.
Meanwhile, its chief of digital identity, Philipp Pointner added that the platform provides continuous assurance for organisations managing fraud and compliance risks.
“Jumio Watch makes identity a continuous, intelligent signal, enabling organisations to stay compliant, reduce fraud exposure and make more informed decisions,” he said.
The launch comes amid growing fraud risks driven by increasingly sophisticated AI-enabled techniques, including deepfakes and synthetic identities.
Jumio Watch is built on the Jumio Identity Graph, which analyses patterns and connections across tens of millions of identities globally to identify risks that may not be visible within a single organisation.
The solution is designed for fraud, compliance, and security teams across sectors, including financial services, gaming and digital platforms. It offers features such as post-verification flagging, proactive risk alerts and portfolio-level risk management.
Jumio Watch is now available, with additional capabilities planned throughout 2026 as the company continues to expand its continuous identity intelligence offerings.
-- BERNAMA