Webinar Overview:

Deploying AI tools is only the beginning; creating sustained business value requires the right use cases, operating model, adoption strategy, governance, and leadership. This session explores how leaders can move from scattered AI experimentation to a structured transformation agenda that delivers measurable enterprise impact.

 

Webinar Agenda:

• What separates AI experimentation from AI transformation
• Identifying and prioritizing high-impact AI opportunities
• Buy, Build, or Extend: choosing the right AI approach
• Creating an AI-ready organization: people, process, data, and technology
• Driving adoption and managing organizational change
• Responsible AI, security, governance, and trust
• Building a phased roadmap from initial use cases to enterprise-scale AI

 

Audience:

Business Leaders, Functional Heads, Transformation Leaders, CIO/CTO Organizations, AI Leaders, Enterprise Architects, Innovation Leaders, and Decision-Makers.

 

Webinar Overview:

This session explores how generative AI is transforming modern security operations through Microsoft Security Copilot. Participants will understand how AI can augment security teams across threat investigation, incident response, threat intelligence, and security posture management—helping analysts work faster, make better-informed decisions, and respond effectively to increasingly sophisticated threats.

 

Webinar Agenda:

• The changing threat landscape and the role of AI in cybersecurity
• Understanding Microsoft Security Copilot and its capabilities
• Accelerating threat investigation and incident response with AI
• Using AI across Microsoft Defender XDR and Microsoft Sentinel
• Improving analyst productivity through natural-language security workflows
• Practical Security Copilot scenarios for SOC teams
• Responsible AI, data security and governance considerations

 

Audience:

SOC Analysts, Security Operations Teams, Security Engineers, Cybersecurity Professionals, Threat Analysts, Security Architects, IT & Security Leaders

Webinar Overview:

As enterprise environments become increasingly distributed across users, devices, applications, cloud platforms, and AI services, traditional perimeter-based security is no longer sufficient. This session explores how organizations can apply Zero Trust principles to continuously verify access, protect identities, enforce least privilege, and build a stronger security foundation using Microsoft Entra and the broader Microsoft Security ecosystem.

 

Webinar Agenda:

• Why traditional perimeter security is evolving toward Zero Trust
• Core Zero Trust principles: verify explicitly, least privilege and assume breach
• Identity as the foundation of modern enterprise security
• Securing access with Microsoft Entra ID
• Conditional Access and identity protection strategies
• Applying Zero Trust across users, devices, applications and cloud environments
• Building a practical Zero Trust adoption roadmap

 

Audience:

Identity & Access Administrators, Security Engineers, Cloud Architects, Infrastructure Teams, Security Architects, IT Administrators, Technical Decision Makers

Webinar Overview:

As enterprises rapidly adopt generative AI, copilots, agents, and AI-powered applications, security must evolve alongside innovation. This session explores how organizations can secure AI workloads end-to-end—from protecting applications, models and data to managing access, detecting threats, and establishing governance controls for enterprise AI environments using Microsoft security technologies.

 

Webinar Agenda:

• Understanding the emerging AI security landscape
• Security risks across AI applications, data, models and workloads
• Securing generative AI and AI-powered applications
• Protecting cloud and AI workloads with Microsoft Defender for Cloud
• Identity, data protection and access controls for AI environments
• Security considerations for AI agents and autonomous workflows
• Building governance and responsible security controls for enterprise AI
• Establishing an end-to-end Secure AI strategy

 

Audience:

AI Engineers, Cloud Security Engineers, Security Architects, Cloud Architects, Application Security Teams, Platform Teams, AI/ML Teams, Security & Technology Leaders.