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TL;DR: Did you miss us? Yes, we're back with Sam Masiello and we're talking about whatever is on his mind. Well ...there's geopolitics and Iranian hackers and frankly we need to talk about what it means for your security program.

Thanks for joining us, Sam!

YouTube Video: https://youtube.com/live/H-4ZktBIUDE

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TL;DR: This week's episode came from my (Rafal) brain. I've been reading far too much LinkedIn, and the "influencer" postings have been making me crazy. So, here we are. We talk through some of these posts, many of which are AI generated I think, and have a little fun with it. Call it...therapy.

YouTube Video: https://youtube.com/live/uZVfkge8bQE

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TL;DR: On this episode, part 4 of our AI series, we are once again joined by Raja Mukerji, Jeff Collins, and John Dickson to discuss what it means to think about security for AI. Is it something completely different? Is it something same-'ol? Or - is it a bit of both. And what aren't we thinking about when it comes to securing AI?

YouTube video: https://youtube.com/live/vUJIOrX0kHc

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TL;DR: This week I bring John Dickson back to join Jeff Collins and Raja Mukerji as we talk through the following:

1. What can AI do, for cyber security, that we can't do with current tools?
2. What is the model for incorporating AI into cybersecurity - are we replacing people? augmenting people? both? neither?
3. Where is AI the strongest in these use-cases today, and where is the promise for 12 - 36 months out?
4. What are the LIMITATIONS for AI in cybersecurity? Are these short-term limitations, or long-term?

Youtube: https://youtube.com/live/Tv_Lx76rl58

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TL;DR: This week John Dickson returns to go deeper down the AI rabbit hole with special guest Erik Bloch as we dive into a more technical explanation of AI, how this innovation differs from other similar concepts, previous tech innovations, and some of the commercial vs consumer use-cases where AI is best suited. It's a deeper discussion, and we will for sure have a part 3, and likely 4 coming soon.

YouTube video: https://youtube.com/live/QXi6ed2NKhc

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TL;DR: So - Artificial Intelligence (AI)...incomprehensible good, or catastrophic evil? Both? And what does that depend on? This episode is the start of a series wherein we explore the potential good or bad of AI, what the dependencies are. and what kinds of branches of discussion there could be. Join us as we discuss a generational topic, with some of our best guests starting with John Dickson.

Required listening: Episode 654 w/Sounil Yu ( https://dtsr.buzzsprout.com/2153215/episodes/17193885-dtsr-episode-654-can-we-teach-machines-discretion )

Bonus, since none of you read this ... what's John's CISSP #? If you get it, send me a DM on LinkedIn and next time we're in the same place, I'll buy lunch.

YouTube video: https://youtube.com/live/5fDjArquTMc

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TL;DR: This week's episode asks the question - is it possible to give AI "discretion" (which feels like a uniquely human concept)? And if so - what would that look like, and how can this help a society that's hurling headlong into an AI future from destroying secrecy as we know it? Sounil Yu from Knostic joins Rafal & James to think through the problem - complete with visuals!

If that sounds a little dramatic, you'll enjoy the episode, because this problem is very real and those outside security have no idea they're creating it.

Cyber Defense Matrix: https://cyberdefensematrix.com/

YouTube Video: https://youtube.com/live/ob502v_NqOo

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TL;DR: On this "live on the scene" episode from Zero Trust World 2025 sponsored by Threat Locker - I have the distinct pleasure to speak with Rich Latayan about his career leading big-company security programs as CISO and his current endeavor.

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