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As organizations accelerate adoption of AI agents, autonomous workflows powered by LLMs and MCP servers are rapidly proliferating across internal systems, partner networks, cloud environments, and API gateways. The result? A sprawling, often invisible attack surface: shadow APIs, duplicate endpoints, context drift, unmanaged agent access, inconsistent policies, and risk of data exposure or compliance failures. Join Salt Security and Sensedia to explore how to tame AI agent sprawl by implementing robust governance across multi-gateway architectures. We will cover: How AI agents, MCP/LLM integrations, shadow APIs, multiple gateways, and distributed ownership create API sprawl and weaken visibility and control Why sprawl expands the risk surface through misconfigurations, context drift, unauthorized access, data leakage, and compliance gaps How multigateway environments fragment governance, leading to inconsistent policies and uneven developer or partner experiences Why enterprises need unified, vendor-agnostic control with observability, consistent enforcement, usage limits, cost management, prompt mediation, and context integrity How to strike the right balance between team autonomy and enterprise-level oversight to scale AI adoption securely Discover how to rein in AI agent sprawl, unify governance, and keep innovation moving without compromising security or compliance.