Cloud, AI, and Security
A Unified Strategy Virtual Workshop
Revisit eGroup’s Cloud, AI, and Security Virtual Workshop for insights on building a stronger Azure foundation, adopting Copilot and agentic AI, protecting your environment, and navigating Microsoft licensing decisions.
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Key Takeaways From the Workshop
Cloud, AI, and security decisions are increasingly connected. Across the workshop, eGroup experts explored where organizations are getting stuck, how these priorities intersect, and what teams should consider next.
Secure the AI Foundation
Protect identities and sensitive data with Zero Trust, governance, and Microsoft security controls.
Improve Threat Detection & Response
See how Microsoft Sentinel, Defender, and ThreatDefender work together across your environment.
Scale AI Beyond the Pilot
Move Copilot and AI agents into broader use with governance, adoption, and measurable outcomes.
Align Cloud, AI & Licensing
Connect Azure architecture and Microsoft licensing decisions to your security and AI strategy.
One Workshop. Three Connected Areas.
Revisit the key ideas, takeaways, and attendee insights across security, AI, cloud, and Microsoft licensing.
Sessions 1 & 2
Security
- Microsoft Security
- Managing Incidents
Strengthen your security posture and see how Microsoft’s security tools work together to detect, investigate, and respond to threats across identities, data, and your broader environment.
Sessions 3 & 4
AI
- Microsoft AI Solutions
- Agentic AI
Explore how to move from AI pilots to broader adoption with Microsoft Copilot and agents, including governance, use cases, adoption strategies, and the foundations needed to scale AI responsibly.
Sessions 5 & 6
Cloud + Licensing
- Azure Foundation
- E7 Licensing
Learn how Azure architecture, governance, and cost management connect with Microsoft licensing decisions to support your AI and security strategy.
Session Highlights
Revisit the Sessions
Explore the key takeaways, attendee insights, and on-demand content from the Cloud, AI, and Security workshop.
Revisit the opening discussion on the market shifts connecting cloud, AI, and security, why siloed initiatives create challenges, and what organizations should consider as they build a more unified strategy.
Build the Security Foundation for AI
Revisit the security sessions focused on protecting AI initiatives, strengthening identity and data governance, and improving threat detection and incident response across Microsoft environments.
Session 1: Microsoft Security, The Foundation Under the AI
Microsoft Security: The Foundation Under the AI
Explore why identity, Zero Trust, and data governance need to come first as Copilot and AI agents gain access to more organizational data.
Key Takeaways
- Identity and Zero Trust remain foundational to secure AI adoption
- Data governance becomes more important as AI access expands
- Sensitive information needs stronger controls before broader AI rollout
- Microsoft security capabilities can help reduce exposure across the environment
- Poll Insight
Attendee responses frequently referenced data leakage, sensitive information exposure, privacy, exfiltration, and data loss.
Session 2: Managing Incidents in Your AI & Cyber Environment
Managing Incidents in Your AI & Cyber Environment
See how Microsoft Defender, Sentinel, and eGroup ThreatDefender work together to detect, investigate, and respond to threats.See how Microsoft Defender, Sentinel, and eGroup ThreatDefender work together to detect, investigate, and respond to threats.
Key Takeaways
- Defender and Sentinel help connect detection with investigation
- Automation can reduce repetitive response work
- Threat visibility becomes more important as AI expands across the environment
- ThreatDefender extends monitoring and response capabilities
Session Highlight
Includes the live ThreatDefender demonstration.
Move From AI Pilots to Broader Adoption
Revisit the AI sessions focused on adoption, use-case prioritization, Copilot, agentic AI, and the governance needed to move beyond experimentation.
Session 3: Microsoft AI Solutions: From Pilot to Productivity
Microsoft AI Solutions: From Pilot to Productivity
Explore how organizations can move from early AI pilots toward broader adoption, stronger use cases, and measurable business value.
Key Takeaways
- Prioritize use cases before expanding AI broadly
- Adoption requires more than simply assigning licenses
- Measurement helps determine whether AI is delivering value
- Governance should mature alongside adoption
- Poll Insight
Session 4: Agentic AI: Beyond Chat
Agentic AI: Beyond Chat
Explore how Microsoft agents can move AI beyond prompts and into workflows that can take action across systems and processes.
Key Takeaways
- Agents extend AI into workflows and processes
- Use-case selection matters before building
- Governance becomes more important as agents take actions
- Organizations should start with focused, measurable scenarios
- Poll Insight
Build the Foundation Behind the Strategy
Cloud architecture and licensing decisions influence what organizations can support, secure, and scale. These sessions connect Azure foundations with the Microsoft licensing choices supporting AI and security initiatives.
Session 5: Azure Foundation: Building a Scalable, Secure Cloud Strategy
Azure Foundation: Building a Scalable, Secure Cloud Strategy
Explore how Azure architecture, governance, hybrid strategy, and cost management support future AI and security initiatives.
Key Takeaways
- AI readiness depends on the underlying cloud foundation
- Governance helps make Azure environments easier to manage
- Cost management should be part of architecture planning
- Hybrid environments introduce additional considerations
- Poll Insight
Only 5% of respondents reported having an AI landing zone in place, while 85% had none and another 10% had only a partial environment.
Session 6: E7 Licensing: What’s Changing and What It Means for You
E7 Licensing: What’s Changing and What It Means for You
Review how Microsoft licensing decisions connect to AI, security, and broader technology planning.
Key Takeaways
- Licensing should follow use cases and business requirements
- AI and security capabilities need to be evaluated together
- Organizations should understand what they already own
- Budget planning becomes increasingly important as AI adoption expands
- Poll Insight
Nearly one-third of respondents reported having no formal GenAI budget heading into 2027.
See the Strategy in Action
See how organizations are strengthening security, preparing for AI, and getting more value from their Microsoft investments with eGroup.
Charleston Stevedoring Moves Fully to Azure
PlanSource Secures Data and Accelerates AI
Children International Scales Microsoft 365 Copilot
Bring Your Cloud, AI, and Security Strategy Together
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