Protect AI Workloads, Govern AI Agents, and Manage AI Data Risks

As organizations continue to adopt generative AI, copilots, autonomous agents, and AI-powered applications, security teams must look beyond securing individual models. They also need to protect the underlying AI workloads, govern the identities and activities of AI agents, and understand how sensitive organizational data is being exposed or consumed by AI systems.

In Implement Security for AI – Part 3, we will explore how Microsoft security and governance technologies can help organizations build a more secure and manageable AI environment.

About the Session

Modern AI environments introduce new security challenges across multiple layers. AI services can become targets for malicious activity. AI agents may access business applications and sensitive data. Copilot and other AI applications can surface information from organizational data repositories. Without appropriate security controls, these capabilities can increase the attack surface and create new data-governance risks.

This session will focus on how Microsoft technologies can be used to address these challenges through three key areas:

• AI workload protection with Microsoft Defender for Cloud
• AI agent governance with Microsoft Agent 365
• AI data-risk management with Microsoft Purview Data Security Posture Management for AI

The objective is to help participants understand how security operations, identity governance, agent management, and data security come together to create a stronger enterprise AI security architecture.

What You Will Learn

By the end of this session, participants should be able to:

• Explain the security risks associated with enterprise AI workloads
• Enable Defender for AI Services in Microsoft Defender for Cloud
• Monitor the security posture of AI resources
• Investigate AI-related threat protection alerts
• Use the Data and AI security dashboard to review AI security posture
• Understand the role of Microsoft Agent 365 in enterprise AI governance
• Register and manage AI agents
• Apply access controls and governance policies to AI agents
• Monitor agent activity and usage
• Understand how AI applications interact with organizational data
• Configure Microsoft Purview DSPM for AI
• Identify SharePoint data overexposure that could affect AI grounding
• Identify sensitive-data risks in Copilot and AI application interactions
• Interpret AI data-security dashboards
• Prioritize remediation activities based on risk
• Apply defense-in-depth principles across AI workloads, agents, identities, and data

AI Security Architecture We Will Explore

This session will connect the different Microsoft technologies into a practical enterprise AI security model.

Workload Protection: Microsoft Defender for Cloud provides visibility into AI resources, security posture, recommendations, and threat protection.

Agent Governance: Microsoft Agent 365 helps organizations register, manage, monitor, and govern AI agents across their Microsoft 365 environment.

Data Security: Microsoft Purview DSPM for AI provides visibility into how sensitive organizational data is exposed to and used by AI applications.

Security Operations: Microsoft Defender helps security teams investigate alerts and suspicious activities involving protected AI workloads.

Together, these technologies help organizations secure AI across its infrastructure, agent, operational, and data layers.

Who Should Attend?

This session is ideal for:

• Participants in the Cloud and AI Security Bootcamp
• Cloud and AI Security Engineers
• Security Architects
• SOC Analysts
• Microsoft Defender administrators
• Microsoft Purview administrators
• Microsoft 365 administrators
• Identity and Access Management professionals
• AI Engineers and AI Platform Administrators
• Cloud Security Engineers
• Governance, Risk, and Compliance professionals
• Data Security professionals
• Microsoft Copilot administrators
• Professionals responsible for enterprise AI governance
• Professionals preparing for the SC-500 certification
• Anyone interested in securing AI workloads and enterprise AI adoption

Why You Should Attend

Enterprise AI security is no longer limited to securing models and endpoints.
Security teams must now consider:

• Who and what can access AI services
• How AI agents are governed
• What data AI applications can reach
• Whether sensitive information is overexposed
• How AI workloads are monitored for threats
• How security incidents involving AI are investigated
• How organizations can maintain governance as AI adoption scales

This session will help participants understand how Microsoft Defender for Cloud, Microsoft Agent 365, and Microsoft Purview can work together to provide a comprehensive approach to enterprise AI security.

Whether you are building AI solutions, managing Microsoft 365, operating a SOC, governing data, designing security architectures, or preparing for the SC-500 Cloud and AI Security Engineer certification, this session will provide practical knowledge that you can apply to real-world environments.

Come ready to learn, ask questions, and deepen your understanding of how to secure AI at enterprise scale.

Learn. Connect. Govern. Protect the Future of AI.