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:
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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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