Leverage human-led AIOps for more effective cloud security

With a shift to cloud, it's crucial for organizations to re-evaluate how they approach security—specifically how they evaluate risk. It's always been critical to take a proactive, predictive approach, but with cloud that criticality is magnified because of the distributed nature of cloud computing. In this episode of the podcast, Mike Kavis and guest, Trend Micro's Mark Nunnikhoven, discuss evaluating risk in the cloud. Mark's take is that, while cloud is more secure because of its shared-responsibility model, predicting the likelihood and type of security events is still incredibly difficult. He also argues that, even with the application of AIOps to bolster predictive capabilities, humans still need to interpret model results and make final decisions on which actions to take.