AI attacks didn’t just evolve. They grew exponentially.

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Attackers shift to AI-backed scams.

In 2025, many fraudsters weren’t just running one-time scams; they were deploying scalable, AI-assisted schemes designed for maximum impact with minimal effort. We saw it first in contact centers, where synthetic voices and automated social engineering bypassed traditional security checks in seconds.¹ Now, those tactics are rippling across real-time interactions that rely on trust: from remote job interviews to financial transactions and beyond.^2. For CISOs and CTOs, this isn’t just another trend. It’s a fundamental shift in the threat landscape and how trust is exploited at scale.

Trust needs a redesign.

In this modern threat landscape, enterprises need to change how they define and defend trust. Legacy security methods often assume identity can be proven through knowledge-based authentication (KBAs), one-time passwords (OTPs), or human judgment. In the age of AI, that assumption is no longer valid.³ Security leaders must shift from assuming these methods work against AI to knowing their methods can spot AI in an instant. The chapters that follow dive into the data behind the rise in AI attacks: how they’re scaling, where they’re succeeding, and what still works when everything can be convincingly faked.