#safety

• 20 Oct 2026 · Study

  Agentic AI · Agent safety

  The main risks when agents act (prompt injection through tool outputs, excessive permissions, unconfirmed side effects) and simple defences: separating data from instructions, allow-lists, argument validation and human confirmation.

• 4 Apr 2025 · Paper summary

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

  A book-length survey that frames LLM agents through brain-inspired modules (memory, world model, reward, goals, emotion), then covers self-improvement, multi-agent systems and agent safety.