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Top Pros and Cons of Disruptive Artificial Intelligence (AI) in InfoSec

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Top Pros and Cons of Disruptive Artificial Intelligence (AI) in InfoSec

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Thank you to our sponsors, Lab651 and Recursive Awesome

Our presenter this month is Jeremy Swenson!

The presentation explores the impact of disruptive artificial intelligence (AI) in the field of Information Security (InfoSec), dissecting both the positive and negative aspects of integrating AI tools into cybersecurity measures. Highlighting prominent AI models like OpenAI's GPT, Microsoft's DialoGPT, Facebook's BlenderBot, and Rasa, emphasizing their roles in reshaping threat detection, behavioral analysis, phishing detection, automation, adaptive defense systems, and incident response. On the positive side, AI brings improved efficiency, quick response times, and adaptive defense mechanisms. However, concerns arise regarding the sophistication of AI-driven attacks, ethical considerations, resource intensiveness, false positives/negatives, lack of human understanding, and dependency on training data. The analysis provides a nuanced understanding of the evolving dynamics between AI and InfoSec, acknowledging both the benefits and challenges associated with this technological convergence.

Mr. Swenson is a disruptive-thinking security entrepreneur, futurist/researcher, and senior management tech risk consultant. Over 17 years he has held progressive roles at many banks, insurance companies, retailers, healthcare orgs, and even governments. Organizations relish in his ability to bridge gaps and flesh out hidden risk management solutions while at the same time improving processes. He is a frequent speaker, published writer, podcaster, and even does some pro bono consulting in these areas.

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