AI levels the playing field for cyber attackers globally. It provides them with perfect English for social engineering, expert-level coding abilities for finding vulnerabilities, and effectively 'unlimited manpower' through automation. This combination leads to a significant increase in the volume and sophistication of attacks.

AI has transformed scamming into a highly efficient business. Research shows cybercriminal organizations deploying AI generate 9x the volume and 4x the revenue of their peers. Leveraging generative AI for hyper-personalization, they operate like sophisticated, profitable businesses, effectively weaponizing technology for fraud.

AI-generated scams are now so convincing that even sophisticated users are fooled. The responsibility has shifted from teaching customers to spot fakes to brands proactively deploying technology to take down threats. Blaming the customer is irrelevant as the brand still loses trust and revenue.

The accessible AI software that helps brands quickly build websites, create ads, and list products is a double-edged sword. These same tools are exploited by fraudsters to accelerate the speed and scale of their nefarious activities, creating an arms race where brands must also adopt AI to defend themselves effectively.

AI tools for text, image, and video generation allow scammers to create high-quality, scalable impersonation campaigns at near-zero cost. This threat, once reserved for major global brands, now affects companies of all sizes, as the barrier to entry for criminals has vanished.

The most immediate cybersecurity threat from advanced AI isn't a sophisticated system breach. Instead, it's the ability to use AI to massively scale "old school" fraud like impersonation and phishing attacks, tricking individual people at an unprecedented rate and volume.

While many focus on AI for consumer apps or underwriting, its most significant immediate application has been by fraudsters. AI is driving an 18-20% annual growth in financial fraud by automating scams at an unprecedented scale, making it the most urgent AI-related challenge for the industry.

As AI generates more content and powers sophisticated bots, the fabric of online trust is eroding. This forces platforms and services, from social media to LLM APIs, to require identity verification to differentiate humans from agents, creating a massive demand tailwind.

The significant annual growth in money lost to scams is not solely due to more scam attempts. The primary driver is the improved effectiveness and conversion rate of the scams themselves, which are better crafted and more convincing, often with the help of AI.