Can Your AI Be Tricked? Exposing the Security Gaps in MCP.
AI agents powered by the Model Context Protocol (MCP) are reshaping how enterprises work — coordinating tasks, integrating with tools and making autonomous decisions at scale. But the very power that makes MCP so transformative also makes it dangerous. Attackers don’t need to break your infrastructure; they just need to trick your AI. From prompt injections and impersonated services to excessive privilege and compromised “trusted” tools, MCP introduces a new class of vulnerabilities that can quietly erode revenue, trust and compliance.
Traditional security controls aren’t designed for this environment. AI agents move fast, interpret loosely and can be manipulated in ways legacy defenses can’t detect. The question isn’t whether MCP-enabled agents can be exploited — it’s how quickly adversaries will take advantage.
In this session, we’ll demystify MCP, expose the top security gaps it creates and share a practical security playbook for containing AI risk. Whether you’re an executive asking “what’s the business impact?” or a practitioner asking “how do I defend it?”, you’ll walk away with a clear roadmap for securing your agentic future.
You’ll learn:
- How MCP works — and why it’s becoming the backbone of agentic AI.
- The most common and dangerous ways AI agents can be tricked.
- Security strategies to control agent “agency” and prevent rogue behavior.
- What leaders must do now to protect AI-powered systems before attackers strike.
Join us to uncover the hidden risks in MCP — and how to defend your AI before it makes a decision you can’t take back.
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