The loudest conversations in tech right now are about intelligence. Bigger models. Faster inference. Products that can reason, write, search, and act. But beneath the excitement sits a quieter crisis, one that doesn't show up in demos or keynote slides.
As software systems become more autonomous, the real bottleneck is no longer capability . It is trust.
This is the problem Ijeoma Eti has been working on, often invisibly, across backend systems, open-source infrastructure, and AI-enabled platforms. While much of the industry races to ship smarter products, Eti is focused on a more uncomfortable question: what happens when those systems fail, misbehave, or are exploited at scale?
