07/10/2026
AI gives fraudsters new ways to scale attacks, adapt tactics in real time, imitate real users, and test detection systems. So what happens when fraud evolves faster than the way we detect it? Is detecting fraud after the fact still enough, or does prevention need to move earlier in the funnel? In our latest article, we look at pre-attribution filtering, how it works alongside post-analysis, and what this shift means for performance marketing.
Curious to hear how others are approaching this: are you focusing on prevention before attribution, detection after the fact, or a combination of both?