Just as IT departments have started to get a handle on shadow IT by setting policies for oversight and permissions on the use of applications, a new challenge has emerged — shadow AI.
Security engineering teams are stretched thin, with their attention divided across cloud, automation, AI, containers, scalable environments, and dozens of other “urgent” priorities.
Thirty-three percent of law enforcement agencies indicate that analyzing the data is the most challenging part of the intelligence and insight process.