The field of artificial intelligence is rapidly advancing, with a growing focus on security and governance in emerging technologies such as the Metaverse, AI agents, and Large Language Models (LLMs). Researchers are working to develop unified security frameworks, ontological taxonomies, and communication protocols to ensure the safe and responsible development of these technologies. A key direction in the field is the recognition of the need for a paradigm shift in ensuring responsible behavior in LLM-powered multi-agent systems, from local alignment to global systemic agreement. Noteworthy papers in this area include: Toward a Unified Security Framework for AI Agents, which proposes a Trust, Risk and Liability framework to build and enhance trust, analyze and mitigate risks, and allocate and attribute liabilities. LLM Agent Communication Protocol requires urgent standardization, which argues for a telecom-inspired protocol to ensure safety, interoperability, and scalability in LLM agent communication. High vs Low AGI, which proposes an ontological taxonomy to distinguish between commercial-economic and security-sovereign architectures in Artificial General Intelligence research.