We go deep on LLMs and generative AIs to shine a light on areas that security leaders should focus on. There are technical concerns like prompt injection and access controls, and privacy concerns in training and usage. But there are also areas where security tools are starting to address these concerns as well as areas where security tools are adopting AI themselves. We'll share where we see AI showing promise, as well as where we suspect it's still premature. Segment resources: https://www.forrester.com/blogs/defending-ai-models-from-soon-to-yesterday/  https://www.forrester.com/blogs/generative-ai-goes-mainstream-in-security-with-microsoft-security-copilot/ https://www.forrester.com/blogs/chatgpt-cybersecurity-ramifications-beyond-malware/ https://www.forrester.com/report/securing-generative-ai/RES179497 https://www.forrester.com/report/generative-ai-what-it-means-for-security/RES179522   Show Notes: https://securityweekly.com/asw-253 

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