Podcasts and Superhero Spoilers: Why I’d Rather Fight Cybercrime!
AI presents unique challenges in the game of attack vs. defense. Does it really, though? Maybe if AI could predict who’s going to spill coffee on their keyboard next, it would be revolutionary! But until then, defenders face more challenges from poorly managed systems than from AI-powered attacks. Defenders need more GPU cycles… and maybe a map.
Hot Take:
AI in cybersecurity: the high-tech arms race where defenders bring a knife to a gunfight, but hey, at least it’s a really shiny knife! If you’re in the trenches, remember, you’re not alone – you’re just surrounded by people who might not know what they’re doing either.
Key Points:
- AI in cybersecurity is more about volume, speed, and scale rather than a revolution in defense.
- Defenders often lack the “home field advantage” due to poor asset management and network visibility.
- Real-world collaboration among defenders isn’t as common as some might think.
- The need for more GPU cycles is tied to the chaotic nature of most organizational environments.
- Misinterpretation of alerts can lead to catastrophic consequences in the defense strategy.
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