"By 2026, AI-generated scams and phishing will be virtually indistinguishable from legitimate apps, storefronts, and communications making detection alone unreliable. App developers will need to design for breach resilience using MFA, passkeys, AI-driven security testing, and strong data-at-rest encryption that ensures stolen data remains unusable. In an AI-first threat landscape, encryption becomes a core architectural requirement, not just a feature."
"AI has crossed the threshold from "impressive" to "undetectible" in many cases. How did we get here? Quickly! We've been watching the growth of large language models for almost a decade, but this year, especially with the popularity of Sora and Google's Nano Banana, we've also witnessed the explosion of LVMs, or Large Visual Models. The combined language and visual models, or VLMs, has made the creation of "AI slop" easily accessible to the general public."
AI-generated scams and phishing will become virtually indistinguishable from legitimate apps, storefronts, and communications by 2026, undermining detection-based defenses. App developers must prioritize breach resilience through multi-factor authentication, passkeys, AI-driven security testing, and robust data-at-rest encryption that renders stolen data unusable. Encryption needs to be a core architectural requirement rather than an optional feature in an AI-first threat environment. Rapid advances in large language models and large visual models, and their combination into VLMs, have democratized realistic content creation. Criminals use these capabilities to create convincing fake storefronts, retail scams, and drop-shipped low-quality merchandise that deceives online shoppers.
Read at App Developer Magazine
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