Deep Learning Meets CyberSecurity

Evan Powell (@epowell101, CEO at DeepTempo) talks about the intersection of CyberSecurity, Deep Learning and new AI techniques to improve operational security. 

SHOW: 915

SHOW TRANSCRIPT: The Cloudcast #915 Transcript

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SHOW NOTES:

• DeepTempo website
• The Promise of CyberSecurity Foundation Models
• Evan on The Cloudcast #165

Topic 1 - Welcome back to the show, Evan. It’s hard to believe it’s been over ten years since we last spoke in your StackStorm days. Give everyone a quick introduction.

Topic 2 - Today's topic is the intersection of Deep Learning and CyberSecurity. Let’s start at a high level. As someone who has founded several companies, what’s interesting enough in this space for you to jump in?

Topic 3 - I talk to many customers about AI and use cases. If they don’t have a leading use case, I often ask where they have a lot of data, and they want insights data. The needle in the haystack scenario. It could be text, unstructured data, log files, data lakes, just about anything. Is this scenario correct when it comes to CyberSecurity? What are the leading use cases?

Topic 4 - I’ve been reading and hearing how AI has been a boon for hackers; what are your thoughts on the ever-lasting cat-and-mouse game in the security space and how it has evolved with AI?

Topic 5 - Let’s dig into the tech; at DeepTempo’s core, you use Deep Learning and specific foundational models. You wrote a great blog recently on Cybersecurity models. When folks hear the term foundational or frontier model, they think of LLMs and GenAI. How is this different?

Topic 6 - Is this a SaaS model? On-prem? Where does the tech sit and why?

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