AI and automation are accelerating creativity and efficiency across industries—including organized identity fraud. Fraudsters now apply AI to stolen PII to synthesize or fabricate and orchestrate identities that are virtually impossible for legacy fraud detection tools and experienced analysts to detect.

Multicontextual identity intelligence at scale provides the solution.

In this Solution Brief, you’ll see how Deduce multicontextual identity intelligence detects stolen and synthetic identity fraud by:

• Gathering and analyzing extensive real-time identity data from diverse sources.
• Employing neural nets and other AI techniques to recognize the activity patterns and digital fingerprints created by AI-generated fraud.
• Identifying activity matches between the identity under review and other identities.

See how the award-winning Deduce Identity Insights helps businesses detect stolen and synthetic identity fraud, protect the new customer experience, and reduce costs and false declines.

Synthetic and stolen identity fraud are big problems for banks, fintechs, and other regulated businesses, costing banks $20B in 2020 alone, per the ABA Banking Journal.

Companies spend billions more every year on identity access management and other fraud prevention solutions, but fraud and friction remain expensive, frustrating problems. It doesn’t have to be this way.

Deduce continuously correlates and analyzes digital and physical activity for more than 660M U.S. digital identities to close the gaps in legacy fraud prevention stacks. Deduce sees 89% of new customers before they reach a site or app—43% within hours.

In this Solution Brief, you’ll learn how Deduce customers are getting these results:

• Up to 350% less identity fraud
• 200% fewer step-up and manual review calls
• 10% more order approvals

See how the award-winning Deduce Identity Insights solution helps regulated businesses streamline their new account creation experience, prevent more fraud, and avoid more false declines.