A strategic webinar for technology and security leaders architecting next-generation AI systems on AWS.
MCP represents a paradigm shift in how AI systems operate. Organizations deploying generative AI need adoption strategies now, before competitive gaps widen. Leaders who recognize this inflection point are already implementing both MCP and RAG, but understanding when each fits becomes critical.
Join Jonathan LaCour, CTO of Mission, A CDW Company, and Casey Bleeker, CEO of SurePath AI, as they break down how MCP and RAG actually function, why certain business problems require MCP over RAG, and the risks these new patterns create. You'll walk away with strategies to adopt MCP successfully and mitigate the risks it brings to your AWS environment.
Why MCP changes everything: How Model Context Protocol functions differently from RAG and what that means for your AI strategy. See real scenarios showing when each architecture fits.
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Business use cases that matter: Which problems MCP solves that RAG cannot, and the opportunities your competitors are already seizing.
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Adoption strategies that work: Implementation roadmaps, common pitfalls, and what happens when organizations don't become "MCP aware."
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Security without paralysis: Where risks surface in both architectures, from data leakage to destructive actions, and the governance controls that mitigate them.
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Mission, a CDW company, is a leading born-in-the-cloud managed services and consulting provider, offering end-to-end cloud services, innovative AI solutions, and software for AWS customers. As an AWS Premier Tier Partner, we help manage your technology investments, improve performance and governance, scale to meet demand, safeguard your data, and innovate fearlessly.
SurePath AI is a GenAI security platform built for CISOs, security teams, and AI governance leaders who need visibility, control, and policy enforcement across their organization’s use of AI. From ChatGPT experiments to enterprise deployments on Azure OpenAI or Amazon Bedrock, SurePath AI enables safe adoption without slowing innovation. With real-time usage detection, data redaction, and model-level policy enforcement, it secures both sanctioned and unsanctioned (Shadow AI) activity while integrating seamlessly with existing security stacks. Organizations rely on SurePath AI to operationalize AI governance, protect sensitive data, and stay compliant in a fast-moving regulatory landscape.
