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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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// MENU //

0:00 - Coming Up

01:10 - DeleteMe Ad

02:29 - Intro

03:25 - About Stephen

06:10 - AI Explained

09:45 - Why You Should Study AI

13:04 - The Different AI Defined

22:10 - Vector Databases

24:05 - How Are Red Teamers Using AI

28:47 - Where Red Teamers Can Practice

34:10 - How Chatbots Work

36:14 - AI's Affect on Companies / Jobs

42:51 - What AI Can't Do

44:33 - Exploit Mitigation

48:47 - AI Hallucinations

56:01 - Web Apps and API's

59:46 - AI-Powered Products

59:18 - Demo Begins

01:03:01 - Final Thoughts

01:06:23 - Where To Learn

01:08:01 - Conclusion

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Disclaimer: This video is for educational purposes only.

#ai #aihacking #artificalintelligence