The Great AI Debate: Does It Belong in SIEM? | Dissecting the Impact of AI on Modern SIEM Solutions | A Conversation with Mick Douglas and Dinis Cruz | Redefining CyberSecurity Podcast with Sean Martin
Dive into the debate on the role of AI in Security Incident and Event Management (SIEM) systems with experts Mick Douglas and Dinis Cruz in this episode of the Redefining CyberSecurity Podcast with Sean Martin. Witness the gripping discussion on the potential advantages, the looming issues around trusting AI, and the significant computational costs tied to the implementation and maintenance of these AI systems in SIEM.
The ITSPmagazine Podcast · Sean Martin, ITSPmagazine Redefining Security, Dinis Cruz, Mick Douglas
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Show Notes
Guests:
Mick Douglas, Founder and Managing Partner at InfoSec Innovations [@ISInnovations]
On LinkedIn | https://linkedin.com/in/mick-douglas
On Twitter | https://twitter.com/bettersafetynet
Dinis Cruz, Chief Scientist at Glasswall [@GlasswallCDR] and CISO at Holland & Barrett [@Holland_Barrett]
On LinkedIn | https://www.linkedin.com/in/diniscruz/
On Twitter | https://twitter.com/DinisCruz
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Host: Sean Martin, Co-Founder at ITSPmagazine [@ITSPmagazine] and Host of Redefining CyberSecurity Podcast [@RedefiningCyber]
On ITSPmagazine | https://www.itspmagazine.com/itspmagazine-podcast-radio-hosts/sean-martin
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This Episode’s Sponsors
Imperva | https://itspm.ag/imperva277117988
Devo | https://itspm.ag/itspdvweb
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Episode Notes
In this episode of the Redefining Cybersecurity podcast, Sean Martin is joined by Mick Douglas and Dinis Cruz to delve into a debatable topic: The role and effectiveness of Language Model (LLM) AI in Security Incident and Event Management (SIEM) systems.
Mick, with a rich history in cybersecurity, contends that while AI has its place, he doesn't believe it belongs in the SIEM itself. In contrast, Dinis cites the potential of AI to make SIEMs more productive by cleaning up data, reducing noise, and improving signal value. They discuss the issues of handling vast data sets, the potential for AI to help identify and manage anomalies, and how to create learning environments within SIEM. However, concerns were also raised regarding false positives, trust issues with AI and the significant computational costs to implement and maintain these AI systems.
Key Questions Explored:
- Does AI belong in SIEM systems?
- What potential does AI bring to SIEM?
- What are the potential issues with implementing and maintaining AI in SIEM?
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Resources
Inspiring LinkedIn Post: https://www.linkedin.com/posts/mick-douglas_first-let-me-be-really-clear-for-the-near-activity-7146143942739124224-a4vl/
Inspiring Twitter Post: https://twitter.com/bettersafetynet/status/1740370001973154010
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