Automation can make higher education more agile, but only if institutions have a clear, current picture of their IT environments. This paper explores the link between data quality and cyber resilience, outlining the risks of relying on automation without trustworthy asset intelligence. You’ll discover five key metrics every institution should track to assess automation readiness. You’ll also learn how one Ivy League university tackled data gaps and vulnerability overload with centralized visibility and context-aware workflows. With real-world insights and a blueprint for measuring what matters, this guide is a must-read for education IT and security leaders. Download the paper to see how your institution stacks up and what it will take to scale automation safely.
