This research explores the critical security imperative of developing trustworthy foundation AI agents as LLMs advance into more autonomous systems.

• Examines multi-faceted security threats facing foundation agents
• Outlines ethical alignment strategies for AI deployment
• Proposes frameworks for safety evaluation and risk mitigation
• Addresses security considerations for collaborative and evolutionary AI systems

For security professionals, this research provides crucial insights on balancing AI innovation with robust security controls to prevent exploitation while enabling beneficial applications.

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems