Full Segment Notes
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
Guest
Jeff primarily contributes to Forrester’s offerings for security and risk professionals. He leads Forrester’s research on the role of the CISO, specializing in topics related to security strategy, budgets, metrics, business cases, and presenting to the board. His research also includes security services, featuring global coverage of managed security services, professional security services, and security-as-a-service. Jeff also takes an active role in Forrester’s forward-looking research on security innovation, the security market, and security predictions.
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