As AI and other familial technologies like generative AI (GenAI) continue to seep into environments across the enterprise, business leaders are at a constant simmer to find, build, and deploy new use cases, from data collection assistants for marketers to analyst agents for sales teams.
For security teams tasked with safeguarding broad and often disparate cloud ecosystems, monitoring potentially hundreds if not thousands of AI projects, all at various stages of complexity and maturity, can feel like drinking water from a hose — a huge mess…