Your AI Agents Have More Access Than You Think

How to uncover, govern, and secure the risks behind copilots, coding assistants, and autonomous AI

AI coding assistants, copilots, and enterprise agents are quickly becoming part of everyday work. They help teams move faster, automate complex tasks, and support faster innovation, but they can also read code, call tools, access systems, and take action in ways many traditional security programs were not designed to see or control.

Join Zenity experts for a live BeTechly session built for security, technology, and business leaders navigating the next wave of AI adoption. The discussion will break down how agent risk is emerging across modern environments, why traditional controls can miss critical activity, and what organizations can do to gain visibility, enforce guardrails, and reduce exposure without slowing innovation.

You’ll learn where AI agent risk is hiding, how coding assistants and autonomous agents expand the attack surface, and what practical steps security teams can take to support responsible AI adoption at scale.

This event is part of a learning series brought to you by the 5th annual Power Platform Community Conference. Join us in Las Vegas | October 27-29, 2026. Invite a colleague, customer, or friend to join you and enjoy the experience together at a discounted group rate. You can save up 20% on your registration when you register two or more attendees using code GROUP, or save $150 off on your individual conference pass with code B150.

What You’ll Learn

Where AI agent risk is emerging across copilots, coding assistants, endpoint agents, SaaS, cloud, and modern enterprise environments
Why coding assistants can create new exposure when agents read or edit code, invoke tools, and access connected systems
How shadow AI, agent sprawl, and unclear ownership can expand the attack surface without centralized visibility
Where traditional EDR, XDR, IAM, and model-centric controls may fall short when agents act with real permissions
How security teams can gain a clearer view of which agents exist, what they can access, and how they behave
How to apply practical guardrails that reduce risk while allowing teams to continue innovating with AI