Agent365 Data Security and Purview

Atlanta, USA

Cloud2BR OSS - Learning Hub

Last updated: 2026-08-04

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References

• Use Microsoft Purview for Agent365
• Microsoft Purview for AI (artificial intelligence)
• Microsoft Agent 365 overview

Data security objective

Protect sensitive information in prompt, grounding, tool, and response flows with policy-driven controls that remain auditable at enterprise scale.

Purview-aligned controls

Control	Implementation focus
Classification	Label sensitive content and map to data zones
Data loss prevention (DLP (data loss prevention))	Detect and block risky sharing and exfiltration
Insider and communication risk	Correlate risky user and interaction patterns
Records and retention	Preserve evidence for compliance and investigation
eDiscovery support	Enable traceable investigation workflows

Agent365 data control blueprint

1. Classify and label core enterprise data stores before broad onboarding.
2. Apply DLP (data loss prevention) controls to high-risk prompt and output channels.
3. Restrict unmanaged external transfer paths.
4. Create policy exception process with explicit expiry and owner.
5. Validate retention and eDiscovery alignment for critical workflows.

Validation checklist

• Sensitive-data labels are applied and testable in target workloads.
• DLP (data loss prevention) rules cover prompt and response pathways for high-risk scenarios.
• Exception approvals are logged with expiry and review owner.
• Data-residency and retention requirements are documented by region.

Business example

A healthcare operations agent drafts internal summaries from sensitive records. Purview labels and DLP (data loss prevention) controls prevent external sharing, while retention and audit policies preserve interaction evidence for compliance review.