SAS and Snyk recently discussed the future of AI for development and security teams, highlighting four key predictions: AI will become even more critical for developer productivity, teams must prioritize avoiding hallucinations in LLMs, prompt engineering poses a significant threat if not done correctly, and bias detection for AI will become more prevalent as organizations start to use these tools. Jared Peterson from SAS emphasizes the importance of exploring AI's pros and cons in specific domains, while Ravi Maira from Snyk recommends training models on smaller data sets related to team-specific use cases to avoid hallucinations. The conversation also touches on the need for caution when adopting AI technology and the importance of establishing checks and balances, such as regular code reviews, to prevent malicious prompt engineering and bias perpetuation.