Webinar Description
Key Takeaways
- Examines where AI auditability breaks down as autonomous agents proliferate in enterprise environments
- Compares audit readiness and agent governance capabilities between Google Workspace and Microsoft 365
- Introduces a four-step framework for discovering, registering, managing, and governing AI agents
- Designed for CISOs, IT directors, compliance managers, and security professionals in medium to large organizations
AI Agents and the Accountability Gap
As AI agents take on more autonomous tasks within enterprise environments, organizations face a growing challenge: maintaining a clear audit trail of what these agents access and do. This one-hour virtual webinar from JumpCloud presents new research on the evidence enterprises need to ensure accountability when AI-driven automation and decision-making operate across cloud platforms.
The session addresses a specific problem facing IT and security teams. Traditional access controls and logging mechanisms were not designed for autonomous agents that can initiate actions, access data, and make decisions without direct human involvement. When something goes wrong, organizations may struggle to reconstruct what happened and why.
Google Workspace and Microsoft 365 Comparison
The webinar includes a direct comparison of audit readiness and agent governance between Google Workspace and Microsoft 365. This analysis is relevant for organizations running either or both productivity suites, particularly those evaluating their current visibility into AI agent activities across these platforms.
Four-Step Governance Framework
Speakers from JumpCloud and Google Workspace will present a structured approach to regaining control over AI agents. The framework covers four stages: discovery of existing agents, registration into a managed inventory, ongoing management of agent permissions and activities, and governance policies to maintain accountability over time.
Who Should Attend
This webinar is intended for IT leaders, security professionals, and compliance officers responsible for cloud infrastructure and SaaS management. It is particularly relevant for those in organizations where AI agents are already in use or under consideration, and where audit and compliance requirements demand verifiable accountability.