Microsoft Purview for Copilot Security with Peter Rising [Microsoft]

Quick answer: Microsoft Purview for Copilot data security is covered in this M365 FM episode with a practical focus on how it works, where it fits, and the architecture, security, governance, or operational choices that matter in real Microsoft environments.

You face new challenges as you bring microsoft 365 copilot into your organization. Microsoft purview gives you the tools to secure copilot and build a strong secure copilot deployment strategy. In the age of ai, you need robust data governance, security, and compliance to protect your data and privacy governance. Purview helps you address ai risks and supports your ai enablement efforts. With microsoft, you can lead cybersecurity innovation and align your strategy with responsible ai adoption. Purview makes your copilot deployment safe for the age of generative ai and modern data privacy.

Key Takeaways

• Microsoft Purview provides a unified platform to manage and secure your data across Microsoft 365 and cloud environments.
• Use sensitivity labels to classify and protect sensitive information, ensuring Copilot respects your security controls.
• Implement Data Loss Prevention (DLP) policies to prevent unauthorized sharing of sensitive data and monitor compliance effectively.
• Adopt a responsible AI strategy by following guidelines that ensure fairness, safety, and transparency in AI usage.
• Regularly review and update your compliance policies to keep up with changing regulations and protect your organization.
• Train your team on secure Copilot usage to build a culture of security awareness and reduce the risk of data leaks.
• Monitor Copilot interactions through audit logs and dashboards to detect unusual activity and maintain data security.
• Collaborate across teams to create consistent policies for handling sensitive information and enhance your AI governance.

Microsoft Purview for Securing Copilot

Unified Data Governance

You need a clear view of your organization's data to secure Copilot in the age of AI. Microsoft Purview gives you a unified platform to discover, classify, and manage your data across Microsoft 365 and other cloud environments. This unified data governance approach helps you understand where your sensitive information lives and how it moves. You can set up policies that control who can access data and how Copilot interacts with it.

With Purview, you can use sensitivity labels to classify documents, emails, and even Teams chats. These labels help Copilot respect your security controls and prevent unauthorized access. You can also use data lifecycle management to set retention policies. This ensures that your data stays protected from creation to deletion.

Tip: Start by mapping your most sensitive data. Use Microsoft Purview’s data discovery tools to scan your environment and identify where compliance meets AI.

Compliance and Risk Mitigation

You face new compliance challenges as you bring AI tools like Copilot into your workflow. Microsoft Purview helps you reduce compliance risks by giving you tools to monitor, enforce, and report on your policies. You can use Data Loss Prevention (DLP) to stop sensitive information from leaving your organization. DLP scans content in real time and blocks risky actions before they happen.

Here is how Microsoft Purview supports compliance and risk mitigation for Copilot:

Feature	Description
Data Security Posture Management	Helps you discover, secure, and apply compliance controls for AI usage with personalized recommendations.
Data Loss Prevention (DLP)	Identifies and protects sensitive items across Microsoft 365, preventing data leakage through deep inspection.
Insider Risk Management	Detects and mitigates internal risks like IP theft and data leakage using machine learning.
Compliance Manager	Assesses and manages compliance across multicloud environments, aiding in regulatory compliance.

You can enhance your data security posture and prevent oversharing or leaks caused by generative AI tools. Microsoft Purview also gives you dashboards to track compliance and generate reports for audits.

• Microsoft Purview enhances your existing data security solutions.
• You can monitor and enforce compliance policies effectively.

Responsible AI Enablement

You want to use AI responsibly and build trust with your users. Microsoft Purview supports responsible AI enablement by aligning with global standards like the NIST AI Risk Management Framework. This framework guides you through the AI lifecycle, from governance to risk mapping, measurement, and management.

Microsoft’s Responsible AI Council helps you put responsible AI policies into action. The council’s strategy focuses on five pillars:

• Cohesive data management
• AI-ready data
• Fostering a data-centric culture
• 'Customer Zero' (testing new features internally first)
• Talent development

Every AI project in your organization goes through an impact assessment. This process checks for fairness, reliability, safety, privacy, inclusiveness, transparency, and accountability. You can follow these steps to enable responsible AI with Purview:

1. Govern: Set roles and policies for AI development.
2. Map: Identify and prioritize risks with impact assessments.
3. Measure: Use metrics to evaluate risks and ensure responsible outputs.
4. Manage: Apply mitigations and monitor AI systems throughout their lifecycle.

By using Microsoft Purview, you can make sure that compliance meets AI in your organization. You build a foundation for secure, ethical, and innovative AI adoption.

AI Risks in the Age of Generative AI

As you bring AI tools like Copilot into your organization, you must understand the new data security risks that come with generative AI. These risks can impact your data, your compliance efforts, and your overall security posture. Let’s look at the main challenges you face.

Data Security Threats

Unauthorized Access

You may not realize how easy it is for users to access more data than they need. Over 15% of business-critical files are at risk from oversharing and inappropriate permissions. This means that without strict access controls, Copilot could expose confidential information to users who should not see it. Over-permissioning and excessive data exposure are common problems. Attackers can also use prompt injection or jailbreak attacks to trick AI tools into revealing restricted data. You need to monitor who can access what, and make sure you review permissions often.

Data Leakage via AI

Generative AI can process and share large amounts of data quickly. If you do not set up proper controls, sensitive information can leak through AI-generated outputs. Recent research shows that 67% of enterprise security teams worry about AI tools exposing confidential data. Data exfiltration can happen through connected apps, APIs, or even misconfigured Microsoft 365 integrations. Model inversion attacks can also compromise organizational data processed by Copilot. You must stay alert to these threats and use strong monitoring tools.

Compliance Challenges

Sensitive Data Handling

You handle a lot of sensitive data every day. Generative AI tools process this information, which increases the risk of leaks or unauthorized sharing. You must make sure your policies cover how AI uses and stores sensitive data. If you do not, you could face compliance gaps, especially in regulated industries.

Regulatory Pressures

You face growing pressure from regulators to manage AI risk posture. The table below shows some of the main compliance challenges:

Compliance Challenge	Description
Data security and privacy vulnerabilities	AI tools process sensitive information, raising the risk of leaks.
Bias and ethical compliance concerns	AI outputs may reflect bias, violating laws like the EU AI Act.
Technical preparedness gaps	You need strong policies and audit trails for AI-generated data.
Transparency and explainability requirements	AI decisions can be hard to explain, making audits more difficult.

You must keep up with changing regulations and make sure your AI systems are transparent and accountable.

Insider Risks

Insider risks grow as you use AI. Employees may overshare files, and Copilot can summarize and distribute sensitive content to the wrong people. Users might type confidential information into AI prompts, causing prompt leakage. Shadow AI happens when staff use unapproved AI services, increasing the risk of data exposure. Autonomous agents can act on sensitive data without enough oversight. Over-privileged access and poor lifecycle management can leave your organization open to breaches. You need to log AI actions and review them for compliance.

Tip: Build a culture of security awareness. Train your team to recognize and report risky AI behaviors.

By understanding these risks, you can take steps to protect your data, improve your compliance, and strengthen your security.

Core Features of Microsoft Purview

Sensitivity Labels

Data Classification

You need to classify your data to protect it from unauthorized access. Sensitivity labels in Microsoft Purview help you identify the sensitivity of content and apply protection actions. You can mark documents, emails, and Teams chats with labels that show their importance. Copilot displays the highest priority label in chat, so users know the sensitivity of the data they handle. When you use Copilot in Word, PowerPoint, or Outlook, it inherits sensitivity labels from the source content. This ensures consistent protection settings for new documents. Sensitivity labels also help you prevent oversharing by making sure only the right people see sensitive information.

Protection Controls

Protection controls work with sensitivity labels to secure your data. You can use encryption, access controls, and content markings to keep your information safe. Microsoft Purview lets you set rules that restrict who can view or edit documents. You can apply these controls automatically based on the label assigned. This means Copilot and other AI tools respect your security policies. You build a strong defense against data leaks and compliance violations.

Tip: Review your sensitivity label policies often. Update them as your business needs change to keep your data secure.

Data Loss Prevention (DLP)

Preventing Data Leaks

Data loss prevention is a key feature in Purview. You can block accidental sharing of sensitive information. Microsoft Purview brings discovery, classification, enforcement, and monitoring into one platform. DLP policies scan content in real time and stop risky actions before they happen. For example, Copilot blocks processing of documents with sensitivity labels in Word, Excel, and PowerPoint. Just-In-Time DLP pauses file uploads or transfers until a policy evaluation is complete. This prevents leaks during these processes. You can also control sensitive data flow to third-party AI models and monitor input in corporate chat environments.

DLP Feature	Benefit
Real-time scanning	Stops risky actions before they happen
Policy enforcement	Blocks unauthorized sharing
Monitoring	Tracks sensitive data interactions

Data Lifecycle Management

Retention Policies

You must manage your data throughout its lifecycle. Microsoft Purview implements retention policies and automated classification to handle sensitive information. AI-generated content inherits sensitivity labels from original documents, keeping security intact. Retention policies ensure you keep data only as long as needed for compliance. You can set rules to delete or archive data after a certain period. Purview includes governance capabilities that support compliance and security for AI-generated content. Document-level security persists even when data changes format. You maintain control and meet regulatory requirements.

Note: Use AI-powered retention policies to manage content responsibly and reduce compliance risks.

Compliance Management

You need strong compliance management to secure Copilot and protect your organization’s data. Microsoft Purview gives you tools that help you meet regulatory requirements and manage risks. You can track user actions, preserve important information, and monitor communication for compliance issues. These features help you build a secure environment for Copilot and generative AI.

Microsoft Purview offers several compliance management capabilities:

• Audit Capabilities: You can use Purview Audit to capture events and detect user interactions with Copilot. For example, you can log when someone requests help from Copilot, see which documents are accessed, and track meeting IDs. Audit logs also record sensitivity labels, so you know the level of protection applied to each asset.
• eDiscovery: You can identify, preserve, and collect relevant data for legal cases, investigations, or audits. Purview eDiscovery keeps records of Copilot prompts and responses. This makes it easier to find information during inquiries and ensures you meet regulatory requirements.
• Data Lifecycle Management: You can set retention and deletion policies for Copilot interactions. Purview lets you manage how long you keep Teams chats, including Copilot prompts and responses. You have flexibility to decide what data stays and what gets deleted, helping you stay compliant.
• Communication Compliance: You can create policies to detect risks and regulatory violations in Copilot chats. Purview Communication Compliance scans for inappropriate or confidential data leaks. Admins can monitor conversations and take action if they find issues.

Tip: Review your compliance policies often. Update them as regulations change to keep your organization protected.

The table below shows how Purview supports compliance management for Copilot:

Capability	Benefit
Audit	Tracks user actions and data access
eDiscovery	Preserves Copilot interactions for inquiries
Data Lifecycle Management	Manages retention and deletion policies
Communication Compliance	Detects risks in Copilot chats

Zero Trust Principles

You need to follow Zero Trust principles to secure Copilot and your data. Zero Trust means you never assume trust and always verify every action. Microsoft Purview builds security on three main ideas:

1. Explicit Verification: You check every user and device before granting access. Purview uses sensitivity labels and audit logs to verify who interacts with Copilot and what data they use.
2. Least Privilege Access: You give users only the access they need. Purview lets you set strict permissions and control who can view or edit sensitive information. Copilot respects these controls, so users cannot access more than necessary.
3. Assume Breach: You prepare for possible security incidents. Purview logs all Copilot actions and monitors for unusual activity. If something goes wrong, you can quickly investigate and respond.

Note: Zero Trust helps you build a security-first culture. You protect your data and stay ready for new threats.

Microsoft Purview combines compliance management and Zero Trust to help you secure Copilot in the age of AI. You gain confidence that your organization meets regulatory standards and keeps sensitive information safe.

Configuring Microsoft Purview for Copilot Security

Setting Sensitivity Labels

You need to protect your data as you use Copilot and AI tools. Sensitivity labels in Microsoft Purview help you classify and secure content across SharePoint, OneDrive, and Microsoft 365. These labels make sure Copilot respects your security controls and only processes data that meets your protection standards.

To start configuring Microsoft Purview for Copilot security, follow these steps:

• Enable sensitivity labels for SharePoint and OneDrive. This action secures encrypted files that Copilot and agents can access.
• Familiarize yourself with the file types and label configurations that these services can process. This knowledge helps you apply the right protection to each item.
• Create sensitivity labels for your organization. These labels protect documents, emails, and Teams chats from unauthorized Copilot processing.
• Use Data Security Posture Management (DSPM) for AI one-click policies. These policies automatically discover, protect, and apply compliance controls to your data.
• Apply retention labels to content referenced in Copilot interactions. Retention labels help you decide which data to keep or delete.
• Use eDiscovery to preserve, collect, analyze, review, or export Copilot interactions. This tool supports legal and compliance needs.

Tip: If you have not enabled sensitivity labels for SharePoint and OneDrive, do so now. Learn about the file types and label configurations that these services can process. Without sensitivity labels, Copilot and agents can only access encrypted files from Office apps on Windows.

Sensitivity labels give you control over how Copilot interacts with your data. You build a secure foundation for AI adoption and protect sensitive information from accidental exposure.

Enforcing DLP Policies

Data Loss Prevention (DLP) policies in Microsoft Purview help you stop sensitive information from leaving your organization. You need to enforce these policies to secure Copilot-generated content and prevent data leaks.

Best practices for enforcing DLP policies include:

1. Access the Microsoft Purview Portal and navigate to the DLP policy management section.
2. Review existing policies to make sure they match your risk tolerance.
3. Enable or update policies to include email as a protected location.
4. Notify stakeholders about changes and provide training on new policies.
5. Monitor and adapt policies through regular audits until telemetry is available.

You should also:

• Identify and classify sensitive data relevant to your organization.
• Collaborate with different teams for comprehensive DLP coverage.
• Evaluate current internal processes to tailor DLP policies.
• Prioritize employee education on data security and DLP policies.
• Review and update DLP policies regularly to adapt to changing threats.

Note: DLP policies protect your data in real time. You block risky actions before they happen and keep sensitive information safe from accidental sharing.

When you enforce DLP policies, you secure Copilot interactions and strengthen your data protection strategy. You create a safer environment for AI tools and reduce the risk of compliance violations.

Monitoring Copilot Usage

You need to monitor Copilot usage to detect security incidents and track AI interactions. Microsoft Purview provides audit logs and dashboards that help you investigate prompts, responses, and sensitive information processed by Copilot.

The Copilot Dashboard gives you insights into usage patterns and value delivery. You can see metrics such as total users, usage trends, adoption by group, intensity, retention, and app-level breakdowns. These tools help you understand how Copilot affects your organization and identify unusual activity.

Feature	Description
Copilot Dashboard	Shows Copilot usage, work pattern changes, and value delivery.
Metrics	Includes total users, usage trends, adoption by group, intensity, retention, and app breakdowns.
Availability	Available to customers with at least 1 Microsoft 365 Copilot license.

You can also enable DLP policies to detect and block sensitive information in Copilot-generated content. Audit logs track Copilot usage, prompt history, and access events. These logs help you spot anomalies early and respond quickly to potential threats.

Tip: Monitor activity through audit logs and dashboards. Track Copilot usage and prompt history to catch security issues before they escalate.

Monitoring Copilot usage gives you visibility into AI interactions. You protect your data, support compliance, and build trust in your AI tools.

Aligning with Regulations

You must align your Microsoft Purview configuration with industry regulations to secure Copilot effectively. Each industry has unique rules for handling sensitive data. You need to make sure your policies match these requirements. Start by reviewing the regulations that apply to your organization, such as GDPR, HIPAA, or the EU AI Act.

You can follow these steps to keep your Purview setup compliant:

1. Access the Microsoft Purview Portal and review your existing policies. Check if they meet your industry’s regulatory standards.
2. Enable or update Data Loss Prevention (DLP) policies. Make sure these policies protect sensitive data from being accessed or shared by Copilot.
3. Configure sensitivity labels for documents, emails, and Teams chats. These labels help you control how Copilot interacts with different types of data.
4. Enable audit logging. This feature tracks who accesses data and how Copilot uses it, which helps you during audits.
5. Monitor and adapt your policies as your organization’s needs or regulations change.

Tip: Regularly review your compliance settings. Regulations can change quickly, so you need to stay up to date.

By implementing DLP policies, you prevent Copilot from accessing sensitive communications. This reduces the risk of data leakage and helps you meet regulatory requirements. Audit logs give you a record of all actions, making it easier to respond to compliance checks or investigations. Sensitivity labels ensure that only authorized users and AI tools can access protected information.

You build trust with customers and regulators when you show that your organization takes compliance seriously. Microsoft Purview gives you the tools to meet these standards and secure your AI environment.

User Training and Awareness

You need to educate your users about secure Copilot usage. Training helps everyone understand their role in protecting data and following compliance rules. A strong training program covers more than just the basics. It should include real-world examples, interactive lessons, and ongoing support.

Here are key components of an effective training and awareness program:

Training Component	Description
Role-specific Training Modules	Tailor lessons for different job functions to keep training relevant.
Interactive Scenarios	Show examples of correct and incorrect Copilot usage.
Mandatory Completion	Require all users to finish training and track their progress.
Continuous Learning	Offer ongoing education through platforms like Microsoft Viva Learning.
Assessment Mechanisms	Use quizzes or tests to check user understanding.
AI Usage Policy	Provide clear guidelines for how to interact with Copilot safely.
Monitoring Compliance	Use Microsoft Purview to track training completion and policy adherence.
User Feedback	Collect feedback to improve training materials and address concerns.
Case Study	Share success stories, like BCI’s effective training and governance rollout.

You should make training a regular part of your organization’s routine. Use interactive scenarios to help users recognize risky behaviors. Set up assessments to make sure everyone understands the rules. Track completion rates and follow up with users who need extra help.

Note: Continuous learning keeps your team ready for new threats. Encourage users to ask questions and share feedback.

When you invest in user training and awareness, you create a culture of security. Everyone knows how to use Copilot responsibly. You reduce the risk of accidental data leaks and support your compliance goals.

Real-World Examples: Microsoft Purview in Action

Financial Services

You work in a sector where security and compliance matter most. Microsoft Purview helps you protect sensitive financial data while using Copilot. The British Columbia Investment Management Corporation (BCI) shows how you can deploy Copilot safely. BCI uses several best practices to secure their environment:

• Zero Trust architecture keeps every access request verified.
• Comprehensive data protection covers documents and communications.
• Permission auditing checks who can access critical files.
• User training teaches staff how to use Copilot responsibly.
• Phased deployment allows gradual adoption and testing.

These steps help you balance innovation with risk management. You can use Purview to monitor permissions, enforce security policies, and train your team. You build a strong foundation for secure AI adoption.

Tip: Start with a phased rollout. Test Copilot in small groups before expanding organization-wide.

Healthcare Compliance

You handle patient information and must follow strict regulations. Microsoft Purview gives you tools to classify data based on sensitivity and compliance needs. You can integrate Purview with Copilot to automate compliance tasks. This integration helps you generate reports quickly and reduces manual work.

• Purview ensures Copilot accesses only authorized information.
• Automated compliance tasks streamline reporting and reduce errors.
• Detailed audit trails track data usage and support regulatory alignment.

You protect patient confidentiality and meet regulatory standards. Purview simplifies compliance management and helps you respond to audits with confidence. You can focus on patient care while maintaining data security.

Note: Use Purview’s audit tools to track Copilot activity and ensure compliance with healthcare regulations.

Manufacturing IP Protection

You create valuable intellectual property, such as CAD files and formulas. Microsoft Purview helps you secure these assets when you deploy Copilot. Before you start, evaluate your data environment to find governance gaps. Purview lets you automatically apply sensitivity labels to protect proprietary documents.

• Enforce multi-factor authentication for supervisors, contractors, and suppliers.
• Prevent Copilot from indexing outdated or risky shared files.
• Use Data Loss Prevention (DLP) policies to monitor and block sensitive files from leaving secure channels.
• Segment operational technology (OT) and information technology (IT) data. Only share aggregated insights to the cloud.

You keep your intellectual property safe and control who can access it. Purview helps you prevent leaks and maintain trust with partners and customers.

Tip: Review your data segmentation strategy. Make sure only necessary information moves to the cloud.

These real-world examples show you how Microsoft Purview empowers organizations to secure Copilot and generative AI. You can learn from their practices and apply them to your own environment for better data protection and compliance.

Best Practices for Ongoing AI Governance

Policy Review and Updates

You need to keep your AI governance policies up to date. Technology changes quickly, and new risks can appear at any time. Regular policy reviews help you stay ahead. Start by setting a schedule to review your policies every quarter. Involve key stakeholders from IT, compliance, and business teams. This approach ensures your policies reflect current needs and regulations.

• Train your users on prompt engineering and ethical use of Copilot.
• Empower end users to manage access and permissions in Microsoft Teams.
• Use adoption guides and phased rollouts to reduce overload.
• Track metrics and gather feedback to improve your governance strategy.

Tip: Leadership engagement, such as AI councils or champion programs, helps drive accountability and lasting change.

Cross-Team Collaboration

Effective AI governance requires teamwork. You should build a consistent policy layer for sensitive information types. This step ensures everyone follows the same rules when handling data. Collaboration across departments, such as security, legal, and operations, helps you address complex challenges.

• Extend governance beyond Microsoft-hosted workloads to multi-cloud environments.
• Integrate data-aware controls into AI interactions, no matter where the model is hosted.
• Share best practices and lessons learned between teams.

When you work together, you create a stronger defense against risk. Open communication and shared goals make it easier to adapt to new threats.

Automation for Risk Management

Automation helps you manage AI-related risk more efficiently. Microsoft Purview offers tools that let you automate data management and policy enforcement. These features ensure rules are applied consistently and reduce manual errors.

Feature	Benefit
Real-time monitoring	Detects oversharing and policy violations instantly.
Data Security Posture Management	Deploys security controls quickly with one-click policies.
Centralized governance	Gives you better visibility and a streamlined response to AI-related incidents.

You can set up automated workflows to monitor and optimize your governance processes. Real-time risk detection lets you spot issues as they happen. Centralized governance gives you a clear view of all AI activities. Automated policy enforcement keeps your data safe and ensures compliance.

Note: Continuous monitoring and automation help you adapt to evolving AI risks and maintain strong data protection.

By following these best practices, you build a culture of responsible AI use. You protect your organization’s data, reduce risk, and support ongoing innovation.

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You play a key role in securing Copilot and enabling responsible AI adoption with Microsoft Purview. This platform gives you compliance controls, auditing, and eDiscovery to manage sensitive data and meet regulatory needs. To strengthen your security, define clear data protection goals, audit your data estate, and customize classification rules. Involve your security and compliance teams, simplify labeling, and invest in ongoing training. By following these steps, you build a strong foundation for Microsoft-powered innovation and trust.

FAQ

How does Microsoft Purview help secure Copilot?

Microsoft Purview lets you classify, label, and protect your data. You set rules that Copilot must follow. This keeps sensitive information safe and ensures only the right people can access it.

Can I monitor Copilot activity with Purview?

Yes, you can. Purview provides audit logs and dashboards. You track Copilot prompts, responses, and data access. This helps you spot unusual activity and respond quickly.

What types of data can I protect with sensitivity labels?

You can protect documents, emails, Teams chats, and SharePoint files. Sensitivity labels help you control who can view, edit, or share this content.

How do DLP policies work with Copilot?

Data Loss Prevention (DLP) policies scan content in real time. They block Copilot from sharing or processing sensitive data outside your organization. You reduce the risk of accidental leaks.

Do I need to train users on Purview and Copilot security?

Yes. Training helps users understand security rules and best practices. You should provide regular lessons, interactive scenarios, and clear guidelines for safe Copilot use.

Is Microsoft Purview compliant with industry regulations?

Purview supports compliance with standards like GDPR and HIPAA. You configure policies to match your industry’s rules. Audit logs and reports help you prove compliance during reviews.

Can I automate data protection tasks in Purview?

You can automate labeling, retention, and policy enforcement. Automation saves time and reduces errors. You keep your data secure without extra manual work.

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🎧 Listen to this episode

Want a practical explanation of Microsoft Purview for Copilot Security? This episode breaks down the topic in clear language and shows why it matters for Microsoft 365, Azure, Power Platform, security, AI, and modern work.

Listen to this episode if you want to:

• Understand the key concepts behind Microsoft Purview for Copilot Security
• See how it fits into the wider Microsoft technology ecosystem
• Learn where it can create practical value for your organization

You may also enjoy these related M365 FM episodes:

• Zero Trust AI Security with Microsoft Copilot and Azure – Mourtaza Fazlehoussen [MVP]
• Microsoft Security Copilot - Simply Explained
• AI Security and Microsoft Purview with Danilo Nogueira [Microsoft]
• Protect Microsoft Copilot with Purview, DLP, and Insider Risk with Alan Cox [MVP]
• Microsoft Copilot Security Readiness with Åsne Holtklimpen [MVP-MCT]

Discover more practical Microsoft conversations on M365 FM.

Last reviewed: July 2026.

Who Should Listen

This episode is for Microsoft administrators, architects, developers, security professionals, and business leaders who need a practical foundation before making implementation, operations, or governance decisions.

🎧 You Should Also Listen To

• Microsoft Security Copilot — A strongly related next step for extending this topic.
• Microsoft Defender for Endpoint — A strongly related next step for extending this topic.
• Microsoft Defender for Identity — A strongly related next step for extending this topic.