Gaining More Actionable Intelligence Using a Smarter Security Data Lake episode artwork

EPISODE · Oct 13, 2022 · 36 MIN

Gaining More Actionable Intelligence Using a Smarter Security Data Lake

from ISACA Podcast · host ISACA Podcast

In today’s dynamic world of distributed computing and cloud-scale systems, traditional security data platforms and tools such as SIEM typically fall short of actually delivering the intelligence needed to better adapt to the rapidly changing threat landscape. This is primarily due to a lack of core data lifecycle management, analytics, and integration capabilities. In addition to closing these functional gaps, security organizations could benefit by making AI/ML-driven advanced analytics a core component of their security intelligence capabilities. While there is admittedly a lot of hype around the concept of a “security data lake” in the industry, most approaches to date have not really delivered the type of usable intelligence needed to be as nimble as we must be in today’s cybersecurity world.   To address these issues, Adobe is taking a holistic approach to data and analytics that aims to enable efficiencies and scale for its Security organization. We have embarked on a journey to build an integrated and holistic security data and analytics platform as a foundational building block in its security organization. Join Krishna Patil, Principal Architect, Security, from Adobe as he discusses with ISACA's Collin Beder the approach we have taken to provide insights you can use to help tackle the problem of not just gathering the right data but making it more actionable to your security teams. Tune into this ISACA Podcast now!  To learn more about Adobe, please visit: www.adobe.com To listen to more ISACA Podcasts, please visit: www.isaca.org/podcasts  

In today’s dynamic world of distributed computing and cloud-scale systems, traditional security data platforms and tools such as SIEM typically fall short of actually delivering the intelligence needed to better adapt to the rapidly changing threat landscape. This is primarily due to a lack of core data lifecycle management, analytics, and integration capabilities. In addition to closing these functional gaps, security organizations could benefit by making AI/ML-driven advanced analytics a core component of their security intelligence capabilities. While there is admittedly a lot of hype around the concept of a “security data lake” in the industry, most approaches to date have not really delivered the type of usable intelligence needed to be as nimble as we must be in today’s cybersecurity world. To address these issues, Adobe is taking a holistic approach to data and analytics that aims to enable efficiencies and scale for its Security organization. We have embarked on a journey to build an integrated and holistic security data and analytics platform as a foundational building block in its security organization. Join Krishna Patil, Principal Architect, Security, from Adobe as he discusses with ISACA's Collin Beder the approach we have taken to provide insights you can use to help tackle the problem of not just gathering the right data but making it more actionable to your security teams. Tune into this ISACA Podcast now!  To learn more about Adobe, please visit: www.adobe.com To listen to more ISACA Podcasts, please visit: www.isaca.org/podcasts

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Gaining More Actionable Intelligence Using a Smarter Security Data Lake

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This episode was published on October 13, 2022.

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In today’s dynamic world of distributed computing and cloud-scale systems, traditional security data platforms and tools such as SIEM typically fall short of actually delivering the intelligence needed to better adapt to the rapidly changing threat...

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