The promise of autonomous AI agents is real, but so are the security risks. For VPs and Architects, the path to production is blocked by new challenges such as managing excessive permissions, mitigating novel attack vectors, and governing agents that might misinterpret directives. The industry is currently more curious than knowledgeable.
To move beyond the hype, you need a disciplined approach. The Model Context Protocol (MCP) is the essential standard, serving as the governing gateway between your agents and your enterprise data.
Join thought leaders from Cloudera and AWS for a candid fireside chat focused on strategy, not slides. We'll explore the critical questions needed to deploy AI agents securely at scale.
The key questions we'll tackle:
Risk vs. Reality: Defining realistic steps for secure adoption, moving past the gap between market hype and implementation reality.
The Guardrail Imperative: How to use MCP to establish control, prevent excessive permissions, and mitigate new security vectors.
Controlling Unintended Actions: Strategies to govern agents and prevent misinterpretation of instructions in critical workflows.
Right Tool for the Job: Identifying high-value Agentic AI use cases versus scenarios where traditional ML remains the better solution.
Register today for a discussion on finding the right balance between innovation and enterprise control.
Speakers
David Dichmann
Manasi Vartak
