Monthly Roundup: AI Security, AI Documentation, Enterprise AI Strategies, with Ben Galbraith
The AI Native Dev - from Copilot today to AI Native Software Development tomorrow
Navigating Trust and Security in AI Adoption
This chapter explores the complex interplay between trust and change in the adoption of AI tools, using examples like text-to-video technology and autonomous vehicles. It highlights the significance of data access and security, particularly in the context of large language models (LLMs), and discusses the advantages of combining LLMs with static analysis for code security. The conversation emphasizes the need for effective integration of technologies to enhance reliability and address vulnerabilities in AI implementations.
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