How do you defend trust in a world where AI can imitate voices, generate highly convincing phishing attacks, and automate fraud at a scale humans can barely keep up with?
In this episode of Business of Cybersecurity, I sit down with Mary Ann Miller from Prove to discuss how AI is reshaping fraud, identity, and cybersecurity in ways many organizations are still struggling to understand fully. With decades of experience across banking, fintech, and fraud prevention, Mary Ann brings a unique perspective on the growing collision between customer experience, digital identity, and AI-driven attacks.
We explore how cybercriminals are using contextual AI-powered phishing campaigns that feel increasingly believable, why account takeover attacks are evolving into AI-assisted operations, and what happens when human intuition is no longer enough to identify deepfakes and manipulated content online. Mary Ann explains why the traditional idea of identity verification at login is beginning to break down, especially as one-time passwords and legacy authentication methods become easier to exploit.
The conversation also examines the rise of “continuous identity,” in which organizations must continually evaluate trust signals across the customer journey rather than relying on a single authentication event. Mary Ann shares why many organizations are investing heavily in AI innovation while simultaneously lacking the controls needed to defend themselves against AI-driven fraud. We also discuss how non-human identities, AI agents, and automated interactions are introducing new risks that many businesses are still unprepared for.
There is also a fascinating discussion around how AI has quietly powered fraud detection systems for decades, from early neural networks monitoring payment anomalies to today’s far more advanced machine learning systems. But as organizations race to introduce AI-powered customer experiences, Mary Ann warns that customer trust and adoption cannot be taken for granted. She shares the example of Walmart reportedly seeing a major drop in conversions during an AI-driven commerce experiment, highlighting how businesses are still learning where AI genuinely improves experiences and where it creates friction.
Mary Ann also offers practical advice for boards and security leaders on how to proactively test their defenses through fraud red-team exercises, why organizations need to recognize AI-generated attack patterns earlier, and how businesses can rethink identity in a world where both humans and machines participate in digital interactions.
If you care about the future of trust, authentication, fraud prevention, and cybersecurity in the AI era, this conversation offers a valuable look at the challenges already unfolding behind the scenes.
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