of companies use risk scores to improve customer experience.
lower fraud losses are experienced by organizations that implement risk scoring.
With AI and ML, enterprises can analyze their customers' historical behaviour and create user profiles from their digital usage patterns.
Concise risk measurement based on various telecom and non-telecom data sources.
A better understanding of each interaction's risk and assertiveness increases the level of conversions.
The risk assessment model can be enhanced as per the business requirement and the evolving market.
Businesses can make faster decisions based on the analysis received and the risk associated with it.
Businesses can use IP address and mobile number-based specialized risk indicators to enhance and supplement their internal fraud management systems or approve, flag, or prevent an event.
Aggregates multiple data source to provide a data rich score.
Benchmark the risk associated with a mobile number and IP address against multiple data sources.
Dedicated 24/7 support available.
Dedicated proactive monitoring provided 24/7.
The reputation associated with a mobile number and IP address helps to assess every new user's risk. Verifying new users based on their mobile number and IP reduces the risk of onboarding fake accounts/ bad actors on your platform.
Malicious activities conducted through IP addresses have the potential to lead to revenue-related fraud. Efficient real-time analysis of risk indicators have proven to be effective against such malicious activities.
Impersonators using stolen identities for fraud can harm a brand's reputation and revenue. Using mobile numbers and IP intelligence is crucial to assess risks from fraud schemes like Sim-Swap, Account Takeover, and Synthetic Identity, preventing damage and revenue loss.
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