#571: Google Big Sleep: The End of Human Hackers?

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Welcome back to the channel! In this deep dive, Stephen returns to break down the rapidly evolving landscape of AI in cybersecurity. We explore the critical differences between offensive AI (using AI to enhance attacks) and adversarial AI (attacking the AI models themselves). Learn the mechanics behind prompt injection, LLM jailbreaking, and how vector databases are structured. We also analyze real-world case studies, including Google Project Zero's Big Sleep autonomous zero-day agent, and demonstrate how new AI-driven tools are being used for patch diffing and root cause analysis. Finally, we tackle the massive industry question: will AI replace human penetration testers, and what steps should you take right now to futureproof your tech career? Plus, a quick look at how automated agents are tackling API vulnerabilities like BOLA.

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