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Five Thoughts on AI Agents

Five Thoughts on AI Agents

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There is a lot of excitement around AI Agents. Here are five questions we're asking ourselves about how AI Agents will be used and managed.


SHOW: 918

SHOW TRANSCRIPT: The Cloudcast #918 Transcript

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SHOW NOTES:

  • Anthropic warns that fully AI employees are a year away
  • AuthZ Agents Chaos
  • Why we need to get AuthZ right
  • AI Agent Gateway and AI Agent Mesh
  • Auth in the age of AI Agent (Cloudcast Eps. 885)
  • Trust will make or break AI Agents
  • Introducing the Agent2Agent Protocol (A2A - Google)
  • Introducing the Model Context Protocol (MCP - Anthroopic)
  • Top 9 AI Agent Frameworks


HOW WILL WE VIEW AN AI AGENT IN THE CONTEXT OF HUMANS OR “USERS”

  • [Who] How is an AI agent represented in the context of a person, a group, an organization?
  • [What] How will we audit Agent created data or content? Will we need a way to label Agent-created information?
  • [Where] Will we have agents that are focused on non-human-interactions (e.g. optimizations) vs. human-interactions (e.g. empathy)?
  • [When] Are today’s auth systems able to manage AI agents, or will they need to be re-engineered to deal with different scale, granularity of actions?
  • [Why] Why will we choose an Agent (as the implementation) over another form or working on a problem?
  • [How] Are today’s auth systems able to manage AI agents, or will they need to be re-engineered to deal with different scale, granularity of actions?


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