AI is everywhere, but how much of it is real, and how much is just lipstick on a prompt?
In this episode, we cut through the noise around AI in cybersecurity. There’s a difference between genuine innovation and a glorified wrapper around ChatGPT. And right now, the hype is drowning out the people actually building meaningful tech.
We talk about the evolution of AI at CloudGuard, from early automation and orchestration to where things are heading with agentic AI. Think less "magic black box", more modular intelligence that mirrors how real analysts work: triage, enrich, remediate, repeat.
We also dig into small vs large language models, the illusion of intelligence in GenAI, and why prompt engineering is both powerful *and* deeply limited.
Javid lays out a blunt truth: slapping “AI-powered” on your landing page doesn’t make it so. The real work is hard, expensive, and often invisible, but it’s where the real impact happens.
If you're tired of AI vaporware and want to understand what good actually looks like, this one’s for you.
Expect raw insights and real-world context. Hype fades, capability doesn’t.

𝗘𝗻𝗷𝗼𝘆𝗲𝗱 𝘁𝗵𝗲 𝗲𝗽𝗶𝘀𝗼𝗱𝗲? 𝗦𝘂𝗯𝘀𝗰𝗿𝗶𝗯𝗲 𝗵𝗲𝗿𝗲
𝗦𝘁𝗮𝘆 𝗰𝗼𝗻𝗻𝗲𝗰𝘁𝗲𝗱 𝘄𝗶𝘁𝗵 𝘂𝘀
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𝗟𝗶𝗸𝗲𝗱 𝗼𝘂𝗿 𝘀𝗽𝗲𝗮𝗸𝗲𝗿𝘀?
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00:00 - Intro
01:00 - The AI Hype Train: What's Real and What's Buzz?
03:40 - CloudGuard's Early Vision for AI & Automation
06:25 - How Most AI Apps Are Just Wrapped GPT
08:50 - The Misunderstanding of Generative AI
11:10 - Prompt Engineering: A Growing Discipline
13:30 - AI Agents Explained: Breaking Down SOC Workflows
18:10 - Personal AI Experiments: Where It Falls Short
20:05 - LLMs vs. SLMs: Why Context Matters
22:10 - Building True Agentic AI Systems
24:35 - Proactive vs. Reactive SOC with AI
26:55 - Advice for AI Buyers: Ask These Questions
28:55 - Future of AI in Security: Context, Signals & Real-Time Action
33:25 - Final Advice for AI Developers & Buyers