What can a deeper understanding of customers and UBOs do for risk, compliance, and growth potential?
On a brand new episode of the State of Identity Podcast, Justin Fitzpatrick, Co-founder and CEO of DueDil, and Russell Perry, CEO of kompany, join us to explore how the past year accelerated the need for digitization in financial services, why it’s now more challenging than ever to attract and retain customers, and how KYB and identity solutions can keep them.
What is a synthetic identity and who is doing it? On this State of Identity podcast, host Cameron D’Ambrosi and Kurt Weiss, Vice President of Enterprise Sales at Ekata discuss synthetic identity and the levels of sophistication. Can it be solved, and what are the keys to solving the problem?
On this week’s State of Identity podcast, host, Cameron D’Ambrosi sits down with Aaron Goldsmid, VP of Product for Twilio Communications Platform. They discuss verified identity as a primitive of the internet and the digital “anti-fragile identity” becoming better than in real life.
How can document fraud detection help fight identity fraud? On this State of Identity podcast, host Cameron D’Ambrosi discusses building AI and machine learning models for a fraud vector with Inscribe Co-Founder and CTO, Conor Burke. This duo breaks down the challenges banks and fintechs face in combatting fraud.
Understanding where your user is physically located is critical for compliance, trust and safety, and anti-fraud applications. On this week’s State of Identity podcast, host Cameron D’Ambrosi welcomes Isabella Edmonds, Head of Government Relations at Geocomply. They discuss the shifting regulatory and industry landscape, and the role geographic signals should play within a digital identity tech stack.
What is the difference between alternative and behavioral data; how widely are they used in fintech and other verticals today? On this week’s State of Identity podcast, host Cameron D’Ambrosi and Michele Tucci, Chief Strategy Officer & MD of Americas at credolab discuss how alternative data with AI & ML algorithms can promote greater financial inclusion and improve lenders’ profitability by better understanding their customers.