Leverage human-led AIOps for more effective cloud security has been saved
Leverage human-led AIOps for more effective cloud security
Cloud Risk & Security
Evaluating and predicting security risk in IT has always been difficult. Cloud can exacerbate that. However, a proactive approach, coupled with AIOps, can bolster predictive capabilities. It's essential, though, to let humans lead the process and make final decisions on actions.
Cloud security: Humans lead, AI feeds the process
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.
Disclaimer: As referenced in this podcast, “Amazon” refers to AWS (Amazon Web Services) and “Google” refers to GCP (Google Cloud Platform).
The challenge with risk decisions is that it's always easier in retrospect, but they're far more effective when you think about them before things happen.Mark Nunnikhoven is the vice president of Cloud Research at Trend Micro. He is one of the foremost experts on cloud technologies and cybersecurity issues.
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