Jumio, a California-based provider of AI-driven biometric identity verification, risk signals, and compliance solutions, has announced the general availability of its Cross-Transaction Risk feature.

This new tool helps businesses detect fraud by linking identity elements across the Jumio network.

Part of the Jumio Identity Reputation suite, Cross-Transaction Risk allows organisations to balance fraud detection, user experience, and identity assurance more effectively.

Traditional identity verification only validates a user’s identity at a specific point in time, such as when they open an account or make a transaction.

In contrast, Jumio Identity Reputation offers deeper, ongoing insights by analysing identity attributes and behaviours, starting from individual signals and developing into real-time, network-based recognition.

Cross-Transaction Risk has already proven effective, detecting an average of 28% more fraud attacks among customers who have enabled the feature during its early release phase.

For instance, a major telecommunications provider in the Asia-Pacific region faced a large-scale fraud attack involving sophisticated camera injection and deepfake selfie tactics used to open new accounts.

Cross-Transaction Risk was able to complement the provider’s existing fraud prevention measures and detect the attack, rejecting more than 50% of fraudulent ID transactions.

“By connecting this vast amount of proprietary identity data and intelligence across customers, sessions, and time, the Jumio network enables earlier fraud detection, faster onboarding for trusted users, and continuous monitoring of evolving risk,”

said Bala Kumar, Chief Product and Technology Officer at Jumio.

Featured image credit: edited from freepik