How do you move from a basic Gemini Enterprise setup to a live, identity-aware, data-protected AI platform?
That is the question at the center of Google Cloud's next webinar, in partnership with YourStory. On October 23, Google Cloud's AI and ML experts return for the second edition of the Gemini Enterprise series, titled ‘Gemini Enterprise: Integrate, secure, and scale your AI strategy’.
Where the first series focused on initial setup, this session moves into the technical connectivity that determines whether a Gemini Enterprise deployment actually works inside an organization's existing ecosystem. Attendees will get a practical look at bridging Gemini Enterprise with the tools already in use, while maintaining the security and compliance standards enterprises cannot afford to skip.
Whether the challenge is navigating complex compliance requirements or automating workflows across multiple apps, the session is built to provide a clear roadmap for the next stage of the AI journey.
What attendees will learn
The session will open with a look at Workspace synergy, walking through how different Gemini Enterprise editions integrate with an organization's existing productivity suite to unlock more value from tools already in place.
From there, the focus will shift to app connectivity. Attendees will see how to securely link Gmail, Calendar, and Drive, allowing Gemini to reason over internal data and automate workflows that span multiple applications, rather than working in isolation.
The webinar will also cover identity and access, including a walkthrough of Workforce Identity Federation using providers like Okta or Microsoft Entra ID, to make identity management seamless across an enterprise's existing infrastructure.
Finally, the session aims to address security in depth, covering Safety Filters, AI Defense policies, and Model Armor, the tools organizations need to defend against prompt injection and protect personally identifiable information as AI usage scales.
Meet the speakers
The session aims to bring together specialists across connectivity, identity, and security.
Ria Patel, Platform Customer Engineer for SMB, Scaled, and Specialist accounts at Google Cloud, opens with a walkthrough on connecting Google Calendar to Gemini Enterprise.
Janani Pandurangan, also a Platform Customer Engineer for SMB, Scaled, and Specialist accounts, follows with a session on connecting Gemini Enterprise to Gmail.
Jared Houston, Security Customer Engineer at Google Cloud, covers connecting Google Drive to Gemini Enterprise.
Derian Tungka and Graciella Liander, both Platform Customer Engineers for SMB, Scaled, and Specialist accounts, co-lead a deep dive into third-party identity provider integration, offering step-by-step guidance on Workforce Identity Federation using Okta or Microsoft Entra ID.
Methasit (Most) Tuwawit, Platform Customer Engineer for SMB, Scaled, and Specialist accounts, leads a session on securing a Gemini Enterprise application.
Eva Gao, Security Customer Engineer at Google Cloud, closes the technical program with a session on Model Armor, covering prompt injection and data leakage prevention through Safety Filters and AI Defense policies.
Why this matters
For organizations past the initial pilot stage, the risks shift. It is no longer just about getting Gemini Enterprise running, but about making sure it connects securely to the systems that hold sensitive data, respects existing identity infrastructure, and holds up against the kinds of attacks that come with wider AI adoption, such as prompt injection and data leakage.
This webinar is built for that stage. Rather than a high-level overview, it offers specific, technical guidance from the engineers who work on these integrations directly, covering the connectivity and security groundwork that determines whether an AI deployment can scale safely across an organization.
Register now to secure your spot and learn how to take your Gemini Enterprise deployment from basic setup to a fully integrated, secure, enterprise-ready platform.