How AI Impacts Reconnaissance and Bug Bounties in Cybersecurity

Overview

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Explore the impact of artificial intelligence on cybersecurity reconnaissance and bug bounties in this 27-minute interview with NahamSec. Delve into how AI can be utilized for both positive and negative purposes in coding and cybersecurity, its potential effects on the job market, and strategies for controlling its use to benefit the industry. Learn about the risks of relying on AI-driven tools, the types of exploits AI excels at finding, and how it may affect incentive structures in bounty programs. Gain insights on defending against AI-powered attacks and understand whether newcomers to the field are at a disadvantage if they don't utilize AI. Discover promising AI tools and techniques while also considering potential concerns in this comprehensive discussion on the intersection of AI and cybersecurity.

Syllabus

- Intro
- How AI impacts bug bounty hunting
- Risks of relying on AI driven tools
- Does training AI pose a risk?
- Is using AI lazy?
- Do you foresee AI being used by malicious actors?
- What kind of exploits is AI good at finding?
- AI accelerates, not replaces
- How is AI going to impact the job market?
- Are newbies at a disadvantage if they don't use AI?
- Which AI tools or techniques are promising / concerning?
- How will AI impact the incentive structures of bounty programs?
- How can we defend against AI?
- Outro