AI has the potential to revolutionize penetration testing by automating many repetitive, rote tasks like exploit development, vulnerability scanning, and report generation, thereby speeding up pen tests and making them more efficient.

However, AI is not yet advanced enough to fully replace human expertise, especially when it comes to testing custom web applications and proprietary systems that require critical thinking and creativity.

There are risks associated with AI, such as false positives/negatives, scope creep, and accidental system crashes, that necessitate skilled human oversight.

As a result, pentesters' roles may evolve to focus more on validating AI tool output, conducting adversary simulations, and formulating high-level strategies rather than executing technical tasks.

Furthermore, AI integration faces challenges like a lack of sufficient training data, complex model development, and establishing trust in AI-powered tools.

AI is expected to make pen testing more affordable by augmenting human testers rather than fully replacing them in the near future.

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Video Chapters
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00:00 - Intro
01:27 - Meet Nathaniel Shere
02:18 - Meet Shubham Khichi
03:10 - How Penetration Testing Has Evolved With AI
05:47 - The Risks Of AI In Penetration Testing
09:41 - AI Replacing Human Penetration Testers
14:38 - How AI Is Integrated Into Penetration Testing
18:42 - Challenges Of Deploying AI For Penetration Testing
23:16 - Future Trends Of AI In Penetration Testing
30:16 - Other Areas Of Security AI Is Being Integrated

About The Experts
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Jason Firch, MBA
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Nathaniel Shere
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Shubham Khichi
  / cybermindnexus  

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