Why no one trusts AI (Ep 1.2)

In this episode of Mind What Matters, hosts Samuel Hill and Landon Brown discuss various topics related to cybersecurity, including the 50th anniversary of Apple, a cybersecurity incident at the University of Pennsylvania, and the implications of prompt injection attacks. They delve into the rise of agentic AI and its impact on data security, the convergence of data loss prevention and insider risk, and the trust issues surrounding AI and non-human identities. The conversation reflects on the complexity of human experience and the future of AI in a rapidly evolving technological landscape.

Takeaways

• The importance of understanding data security in the context of human behavior.
• Apple's influence on technology and culture over the past 50 years.
• Cybersecurity incidents can have serious implications for organizations.
• Prompt injection attacks pose a significant risk to AI systems.
• Agentic AI is changing the landscape of trust and security.
• Data loss prevention and insider risk need to be integrated.
• Trust issues with AI reflect broader human concerns about reliability.
• The future of AI may involve balancing deterministic and non-deterministic approaches.
• Human experience is complex and should inform AI development.
• Conversations about trust and technology are more relevant than ever.