Experts also debated the maturity of generative AI for red teaming, with some suggesting it is more suited for penetration testing due to its current limitations. Legal concerns were raised about the responsibility and liability of using AI in security operations, with the operator likely being accountable for the AI's actions. The discussion highlighted the evolving nature of AI in cybersecurity and the necessity for clear regulations and policies.
Key takeaways:
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- Generative AI is being adopted in cybersecurity, particularly in red teaming, but experts are divided on its effectiveness and legality.
- AI can potentially speed up threat detection and vulnerability analysis, but there are concerns about over-reliance and lack of transparency in its operations.
- There is a call for regulations and policies to govern the use of generative AI in cybersecurity to prevent misuse and ensure accountability.
- Legal responsibility for AI-driven penetration testing likely falls on the operator, highlighting the need for transparency and explainability in AI actions.