Cyber, AI, and identity: Elevating secure digital banking journeys [20:18-24:08]

Great dialogue. Thank you so much, Sathish and Michelle. Building on these strategies, how does being an entity platform specifically helps bank, detect, prevent, and mitigate sophisticated frauds that Sathish was talking about, such as deepfake and fishing? Yeah, great, great discussion. AI has fundamentally changed the fraud landscape and identity is now the front line. Gen AI is driving deepfakes, synthetic identities, and impersonation attacks that bypass traditional rules faced fraud controls. Fraud is no longer just a non-malist behavior. It's convincing. It's human-like deception across digital channels, and fraud prevention really has to shift from transaction monitoring to identity assurance at every customer interaction. Next generation fraud prevention must be continuous and not reactive. Another thing about it is also it has to be, fraud prevention has to be embedded across the entire customer journey because siloed fraud tools create blind spots between onboarding login, transactions, and servicing. I think Michelle and Sathish kind of touched on this, we have a saying that, ping, when everyone owns something, nobody owns it. It comes a challenge. And fraudsters exploit those scenes, especially post-onboarding when trust is just assumed. And identity is the only signal, at least in our view, that consistently spans every customer touch point. And so with that, though, as you implement fraud controls, it can't come at the cost of customer experience or privacy. Customers expect seamless experiences while regulators scrutinize things like biometric and privacy risk. And things like one-time pass codes, manual checks, intrusive step-up, they create friction, abandonment, and distrust. And that's where identity can help with risk-based identity, allowing friction to be applied only when it's necessary. And so it ping, when we look at our solutions, we make the identity system, the control surface for fraud prevention, forcing adaptive real-time access decisions. We enforce continuous risk-based identity decisions across the full customer lifecycle. We deliver a unified identity platform that applies consistent controls across channels and journeys as well. And enabling proportionate and policy-driven friction across digital and call center branch interactions. And then, again, as I mentioned earlier, also we're introducing zero knowledge biometric grade assurance without storing the biometric data. So that really improves things like compliance and regulatory scrutiny. And it really makes sure that real humans and the devices that they're bound to are present and that neutralizes the AI-driven impersonation attacks at the point of action that re-ankers identity assurance during high-risk moments like payments, recovery, and device changes. And so it really extends onboarding trust, not at just onboarding time, but every subsequent interaction, which is our view, our strategy around what we call continuous verified trust. Absolutely, Peter. Thank you so much for adding that traditional context. Like, human in the loop is again an area where we are continuously having the conversations on those check points and verify and trust that you referred to. So now turning towards a little bit into new opportunities and emerging areas within the banking ecosystem, I would like to come back to Michelle and Michelle as embedded finance, advance payments, V2B integrations, and new open banking regulations are reshaping banking. What key challenges do you think and opportunities do bank face and how should leaders respond to stay compliant in a way they've been competitive in those areas?