Security and IT teams are under pressure to adopt AI, but many are seeing the opposite of what was promised.
Tools that demo well don’t hold up in real workflows. Complexity increases. Trust breaks down. And instead of reducing workload, AI can introduce new risks and oversight burdens.
This guide breaks down why AI adoption fails in practice and gives teams a clearer path forward, from evaluation to implementation, with humans in the loop.