Navigating the AI Landscape

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This chapter examines the evolution of AI models, focusing on the benefits of specialized and open-source models that foster efficient and secure processing. It discusses the importance of human calibration in generative AI, highlighting the competitive push for models that prioritize understanding and logic. The chapter also addresses the vulnerabilities of complex AI systems, advocating for a systematic approach to integrate security in workflows while managing the risks associated with black-box models.

Dinis Cruz drops by to chat about cybersecurity for generative AI and large language models. In addition to discussing The Cyber Boardroom, Dinis also delves into cybersecurity efforts at OWASP and that organization’s Top 10 for LLMs and Generative AI Apps.

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