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Podcast

Leverage human-led AIOps for more effective cloud security

Part of the Architecting the Cloud podcast series

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.

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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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Key success factors for managing cloud security

Cloud security isn't simply throwing technology at problems. It's being proactive to discover potential security issues and prevent them before they become catastrophic.

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Leverage AIOps to operate more effectively in the cloud

There are a bevy of new technologies in the market to help with ITOps in the cloud–AIOps for example. However, to get the most out of AIOps, match the tool to the needs and define the needs based on your service-level objectives.

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Put Cloud in context with the future of business and technology

Because cloud is never just about cloud, a podcast about cloud isn’t either. Our two hosts deliver two unique perspectives to help bring you closer to achieving what matters most—your possible.

For Cloud Professionals, hosted by David Linthicum, provides an enterprise-level, strategic look at key issues impacting clients’ businesses. David, ranked as the #1 cloud influencer in a recent Apollo Research report, has published 13 books on computing, written over 5,000 published articles and performed over 500 conference presentations, making his specialization in the power of cloud simply undeniable.

As a pioneer in cloud computing, Mike Kavis leads Architecting the Cloud, which offers insights from the POV of those who’ve had hands-on experience with cloud technology. Mike’s personal cloud journey includes leading the team that built the world's first high-speed transaction network in Amazon's public cloud—a project that ultimately won the 2010 AWS Global Startup Challenge.

With two leaders in your ear, you’ll have the content you need to drive the next conversation around cloud. Check out both talk tracks within the Deloitte On Cloud podcast to get the compelling stories on your schedule to help you understand the topics that are reshaping today’s market.

Contact us at cloud@deloitte.com for information on this or any other On Cloud podcasts.

Or visit the On Cloud library for the full collection of episodes.

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