Shadow Agents, Silent Risk: Why AI Coding Agent Governance Is Your Next Security Priority

AI coding agents are transforming the software development lifecycle. Developers are shipping 26% more pull requests per week, 60% are using five or more AI tools, and entire workflows, from code generation to review to remediation, are being handed to autonomous agents. The productivity gains are real. But so is the risk: as agents become more capable, they present a new surface for attackers to exploit.

There’s a visibility gap most security teams haven’t solved: while the developer workstation is a known attack vector, AI agents are emerging as a new blind spot, with deep access to systems, tools, and workflows that operate almost entirely unmonitored. In this webinar, we'll unpack why AI governance has become the latest security priority, and what practical steps you can take today, (without throttling productivity). We'll cover how to:

• Discover which models are being used, and which skills accessed
• Gain visibility into every AI coding agent and MCP server running across your org (approved or not)
• Block dangerous commands and rogue MCP servers from compromising security.