This session is designed for IT security leaders, CISOs, and technical decision-makers in U.S. government agencies who want to deploy Microsoft 365 Copilot with confidence. We’ll walk through Copilot’s security model, compliance alignment, and deployment best practices for GCC, GCC High, and DoD environments. You’ll learn how to balance productivity with security, evaluate features like Web Grounding, and follow Microsoft-approved strategies to protect sensitive data in high-assurance environments.
[Webinar 5360]
Complete and submit the form below to register for the webinar.
Webinar FAQs
- IT security professionals responsible for M365 administration
- CISOs and governance/risk leaders in federal, state, and local government
- Technical stakeholders in FedCiv and DoD agencies
- Architects and engineers supporting secure cloud deployments
- Copilot for Federal Environments: Understand Copilot's features, security defaults, and availability across GCC, GCC High, and DoD cloud environments.
- Boost Security: Learn how Copilot aligns with Zero Trust, defense-in-depth, and compliance to better secure agency data.
- Web Grounding Decisions: Get practical guidance on risks, policies, and controls for Web Grounding to manage sensitive data exposure.
- Secure Deployment Plan: Follow a step-by-step rollout strategy, from readiness to agency-wide adoption, for secure and efficient deployment.
- Microsoft Resources: Access official documentation, service descriptions, and public sector AI guidance for ongoing security and compliance.
- Network with Experts: Engage with instructors and peers to share insights and best practices for secure cloud deployments.
Develop the skills and abilities to help your organization achieve its strategic objectives:
Learn more about our Artificial Intelligence Training and Talent Solutions
Imran Ahmad
Big Data Analytics, Cloud computing, and enterprise systems have been a passion for Imran for the last many years. He has more than 15 years of experience of designing software architectures, conducting research and IT services. As part of his PhD research, he has developed a Linear Programming based algorithm called ATSRA that can be used to optimally process information for Big Data.
Imran is currently working with the Canadian Immigration Department to develop a predictive analytics model that can automate the Canadian immigration and Visa processes. He has designed and implemented a Hadoop cluster for data processing and currently developing state-of-the-art algorithms and techniques to develop these models.
He has participated in different IT conferences in various countries and has conducted various presentations. In 2008, He has also taught various IT courses at Carleton University.