As autonomous AI agents proliferate across teams and platforms, organizations face growing challenges in ensuring compliance and mitigating operational and regulatory risk. This session explores strategic and technical approaches for discovering active agents, maintaining accurate inventories, and enforcing governance and risk controls.
• Strategically discovering agents across distributed environments.
• Maintaining comprehensive inventories.
• Implementing governance and risk controls without disrupting workflows.
The rapid evolution of agentic AI, from single LLM-powered agents to coordinated crews and massive swarms, promises transformative autonomy in domains like supply chain, healthcare, and finance. Frameworks like CrewAI, LangGraph, and Google's ADK, combined with the Model Context Protocol (MCP) standard, enable dynamic agent-to-agent (A2A) collaboration and tool access. Yet this interconnected ecosystem introduces severe cascading risks: a single compromised agent can poison swarms via unsecured MCP calls, leading to data exfiltration, unauthorized actions, or ethical failures.
Check out the incredible speaker line-up to see who will be joining Veer.
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