Security teams struggle to adopt genAI because the landscape is crowded, confusing, and risky. Legacy environments don’t play well with modern AI systems; fragmented data, incompatible tooling, and brittle business logic all slow down integration. Even when technical hurdles are solved, trust and oversight problems persist: AI verdicts are opaque, and teams resist black-box automation without hard evidence and governance. Meanwhile, most of what’s on offer is still experimental, and security leaders rarely have the resources to experiment with tech that isn’t fully proven. The result? Adoption is slow, cautious, and highly selective. We show how security organizations can adopt genAI incrementally.