Data Security and Protection with Microsoft Purview
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SC-900Chapter 15

Microsoft SC-900 Certification Study

Data Security and Protection with Microsoft Purview

Information Protection, sensitive information types, trainable classifiers, sensitivity labels, DLP, Insider Risk Management, Adaptive Protection, DSPM, and Data Security Investigations

Suggested study time: 56 minutes • Beginner level • Aligned with the SC-900 study guide and official Microsoft Learn documentation

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1. Introduction: from the perimeter to the data

For decades, was mainly associated with the place where it was stored. Files remained on internal servers, private networks, and physical cabinets. With the internet, mobile devices, cloud collaboration, and remote work, data began to circulate through email, SaaS applications, endpoints, and partner organizations. The old perimeter no longer kept up with the content.

The modern response is a data-centered strategy: discover what exists, recognize sensitivity, apply persistent protection, control risky movements, and investigate exposures. Microsoft Purview brings together capabilities to carry out this cycle across Microsoft 365 services, endpoints, hybrid environments, and selected integrations.

For the reader, this knowledge helps to distinguish tools that look similar but solve different problems. For society, classification controls, exposure minimization, and responsible research reduce leaks of personal, financial, medical, and intellectual information. The challenge is not only to prevent sharing: it is to allow legitimate collaboration without losing visibility and control.

Continuous cycle of knowing, classifying, protecting, preventing, and investigating data.
Figure 1 - Data security is a continuous cycle of knowledge, protection, prevention, and investigation.

2. Microsoft Purview portal and conceptual architecture

The Microsoft Purview portal offers a unified experience for data security, governance, risk, and compliance solutions. It centralizes navigation, functions, reporting, policies, and investigations, although each solution maintains its own concepts, permissions, and licensing requirements.

2.1 The three verbs of

VerbQuestion answeredMain capabilities
Know the dataWhat data exists, where is it, and what is its sensitivity?Classification, types of information, classifiers, Content Explorer and Activity Explorer.
Protect the dataWhat protection should remain with the content?Labels, encryption, permissions, headers, footers, and watermarks.
Prevent lossWhich movements or shares should be monitored or blocked?DLP in services, endpoints, browsers, and compatible repositories.

2.2 Complementary solutions

classifies and protects. DLP controls actions and destinations. correlates behavioral signals. adjusts controls based on risk. consolidates posture and exposure. Data Security Investigations supports incident analysis and impacted data. None of these capabilities, on their own, represents the entire strategy.

Key point for the SC-900

The exam tests the purpose of the solutions. Memorizing the name is insufficient: identify which question each resource answers.

3. Data discovery and classification

Classifying data means associating content with a category that represents its meaning, sensitivity, or processing obligation. This classification can be detected automatically, applied by people, recommended by policies, or imported from integrations. The result guides protection, DLP, retention, investigation, and reporting.

3.1 Classification is not the same as a label

A classification mechanism recognizes content features, such as a card number, contract, or offensive language. A is a persistent mark chosen or applied to the item and can enforce protection. Content can be classified without receiving a label, and a label can be applied manually even when no automatic detector found a match.

3.2 Trust, quantity, and proximity

Classification rules evaluate evidence. A single number may not be enough; nearby words, format, checksum, and number of occurrences increase confidence. Setting confidence levels helps balance false positives and false negatives.

Content recognition by types of confidential information, trainable classifiers, and specialized matches.
Figure 2 - Purview combines patterns, learning, and specialized matches to recognize data.

4. Types of confidential information

sensitive information types, or SITs, identify patterns associated with sensitive data. Microsoft provides built-in types for personal, financial, health information, and identifiers from various countries. Administrators can also create custom types or adjust the existing ones.

ElementFunctionExample
Main elementCentral pattern that must be found.Regular expression, function, or structured identifier.
Corroborative evidenceTerms or standards that increase confidence.Words like 'card', 'validity', or 'client'.
ProximityAllowed distance between element and evidence.Keyword found up to a certain number of characters.
Confidence levelFormatting strength.Low, medium, or high confidence.
QuantityMinimum number or range of occurrences.Block when there are ten or more records.
ExceptionCondition that prevents inappropriate matching.Ignore training models or authorized accounts.

4.1

increases accuracy when the organization needs to detect values that truly belong to a known database, such as customer identifiers. Instead of blocking any sequence with a similar format, the policy seeks a match with data prepared and protected by the organization.

4.2 Digital printing of documents

Document fingerprinting creates a type of information from a form or standard template. It is useful when many documents share the same structure, such as regulatory forms, contracts, or intellectual property templates.

5. Trainable classifiers

Trainable classifiers identify categories by the overall meaning of the content, and not just by fixed sequences. Microsoft provides built-in classifiers, and organizations can train custom classifiers using sets of positive and negative examples selected by people.

5.1 Training process

  • Collect representative items that belong to the desired category.
  • Collect similar items that do not belong to the category.
  • Train the model and test the ability to distinguish the groups.
  • Review false positives and false negatives before use in production.
  • Apply the classifier in compatible scenarios, such as labeling, retention, or specific policies.

5.2 When to use

They are suitable for contracts, resumes, legal documents, communications, or content whose meaning depends on context. An is better for structured patterns; a classifier is more useful for categories without a simple textual signature.

ApproachStrong pointTypical limitation
SITPrecision in structured and explainable patterns.It can fail when the meaning is not in a pattern.
Trainable classifierRecognizes context and semantics of entire documents.It depends on good examples and validation.
Exact Data MatchReduces false positives when validating actual values.It requires preparation and governance of the dataset.
FingerprintRecognizes documents based on templates.Less useful when the structure varies a lot.

6. and

Classification creates value when administrators can turn detections into visibility. The two explorers offer distinct and complementary perspectives on the data assets.

Content Explorer shows where the content is and Activity Explorer shows what happened to it.
Figure 3 - shows where the content is; shows what happened to it.

6.1

Allows browsing by classified items, labels, information types, classifiers, and locations. Depending on the role and configuration, authorized users can examine metadata or content to validate policies. Access must follow least privilege, segregation of duties, and auditing.

6.2

It presents labeling events, label changes or removals, sharing, DLP matches, and other recorded activities. Filters by user, location, activity type, label, and period help identify trends and anomalies.

Privacy and governance

The ability to view sensitive content is powerful. Therefore, permissions, justification, auditing, and periodic review are essential.

7. Sensitivity labels

Sensitivity labels classify and can protect content, containers, and compatible experiences. They act as a persistent mark stored in the item's metadata. An organization can create a taxonomy aligned with the business, such as Public, Internal, Confidential, and Highly Confidential.

7.1 Essential properties

  • Customizable for the language and hierarchy of the organization.
  • Stored in plain text in the metadata, allowing integration with applications and services.
  • Persistent: remain associated with the content when it is moved or copied.
  • They can be applied without protection, only for classification and reporting.
  • They can control documents, emails, meetings, sites, groups, and other supported containers.

7.2 One item and two different objectives

A document can simultaneously have a and a retention label. The first deals with classification and protection; the second deals with lifecycle, retention, and disposal. Confusing these concepts is a common trap.

Flow between taxonomy, publishing policy, application, protection, and label persistence.
Figure 4 - Protection is born in taxonomy, is published through policy, and follows the content.

8. Publication and enforcement policies

Creating a label does not automatically make it available. A label policy determines which users and groups can see it and which experience settings will be applied.

ConfigurationPurpose
Policy scopeSelect users and groups who will receive the labels.
Standard labelApply an initial classification to new items or containers.
ObligationRequire the user to select a label before saving or sending.
Downgrade justificationRequest a reason when the user removes or reduces the sensitivity.
Help and descriptionGuide the user on when to apply each label.
PriorityResolve the behavior when multiple policies affect the same user.

8.1 Manual, recommended, and automatic application

In manual application, the user decides. In recommendation, the system finds sensitive content and suggests a label. In automatic application, the policy labels when the conditions are met. Automation increases scale, but it requires testing, simulation, and impact review.

8.2 Standard labels do not replace classification

A standard label reduces unclassified content, but it does not understand the context by itself. The organization should combine standards, training, communication, and automation proportional to the risk.

9. Encryption, permissions, and tags

9.1 Identity-based cryptography

A label can encrypt documents and emails and restrict which users or groups can open, edit, copy, print, or forward. Authorization is verified by the protection service; thus, the file can remain protected outside the original repository.

9.2 Permissions set by the administrator or user

The administrator can predefine who will have access, or allow the user to choose recipients when applying the label. The first option standardizes; the second offers flexibility, but requires guidance and governance.

9.3 Headers, footers, and watermarks

Content markings communicate sensitivity visually. Headers and footers can include the label name, owner, or other variables. Watermarks discourage misuse, but do not replace encryption or access controls.

ControlWhat does (it/he/she) doWhat doesn't [he/she/it] do
Label without protectionClassifies and produces metadata and events.Does not prevent unauthorized access.
CryptographyRestricts access and actions according to identity and permission.Does not prevent all screenshots or exposure by authorized users.
Visual brandInforms sensitivity and reinforces behavior.It is not technical authorization control.
DLPControls actions and destinies according to context.Does not replace classification or investigation.

10.

, or DLP, helps to identify and control the use and sharing of sensitive items. A policy combines locations, conditions, exceptions, actions, alerts, and user experience. The goal is not to block indiscriminately, but to apply proportional and observable protection.

DLP flow between location, condition, evaluation, action, and evidence.
Figure 5 - A DLP policy transforms context into action and evidence.

10.1 Possible actions

  • Audit the occurrence without interfering in the action.
  • Show Policy Tip to educate the user at the moment of the activity.
  • Send alert to administrators or persons in charge.
  • Block sharing or restrict access to the item.
  • Allow replacement with justification in authorized scenarios.
  • Generate events that feed reports, alerts, and investigations.

10.2 Test mode and gradual deployment

Before imposing blocks, an organization can simulate or test policies to measure impact. This step allows adjusting confidence, quantity, groups, exceptions, and destinations without disrupting legitimate processes.

11. DLP in Exchange, SharePoint, OneDrive, and Teams

LocalWhat can be evaluatedExamples of response
Exchange OnlineBody and attachments of email messages.Tip, block, alert, restriction, and justification.
SharePoint OnlineFiles stored on sites and libraries.Restrict access, alert, and record correspondence.
OneDriveCorporate personal files and shares.Control links, external access, and sensitive content.
TeamsChat/channel messages and files stored in SharePoint/OneDrive.Block message, guide user, and protect file in the repository.
Power BI and other scenariosCoverage varies by feature and licensing.Apply protection and governance according to supported integration.

11.1 Teams Files

Files shared in Teams are stored in SharePoint or OneDrive; therefore, the protection of these repositories also applies to the files. Chat and channel messages have their own handling and specific licensing requirements.

11.2 DLP and labels

A DLP policy can use information types, classifiers, or labels as a condition. A label can encrypt; DLP can prevent the item from being sent to a prohibited destination. The controls work together.

12. Endpoint DLP

Endpoint DLP extends policies to activities performed on supported and integrated Windows devices. The focus shifts from the repository to the user's local action.

Monitored or controlled activityExample of risk
Copy to removable mediaExfiltration via USB drive.
Copy for network sharingMovement to an unauthorized location.
PrintPhysical exposure of confidential information.
Copy to clipboardTransfer to unauthorized app or session.
Send to cloud service or browserUpload for personal storage or third-party site.
Access through app not allowedUse of software without corporate controls.
Create or rename fileFormat change to try to avoid detection.

12.1 Restrictions by group and context

Administrators can differentiate applications, domains, browsers, printers, shares, and devices. The policy must reflect real processes; overly broad rules can cause fatigue, manual workarounds, and loss of productivity.

Defense in depth

Endpoint DLP does not replace EDR, antimalware, device control, or identity management. It adds sensitivity context to actions on data.

13.

Microsoft Purview correlates signals to identify potentially malicious or accidental activities, such as intellectual property being copied before shutdown, unusual sharing, policy violations, or misuse of data. The solution is policy-driven and incorporates privacy controls, such as pseudonymization by default, roles, and auditing.

13.1 Main components

ComponentFunction
PolicyDefine users, triggers, indicators, content priorities, and analysis window.
IndicatorObserved activity that may contribute to risk.
AlertSignal generated when conditions and score meet criteria.
CaseInvestigation space centered on a user and their alerts.
ActionUser warning, further investigation, referral, and organizational measures.
Forensic evidenceOptional and controlled feature for visual context in specific scenarios.

13.2 Risk does not mean blame

An alert indicates activity that deserves analysis, not proof of malicious intent. Investigations must respect privacy, labor laws, proportionality, segregation of duties, and human review.

14.

connects internal risk to preventive controls. Depending on the factors defined by the organization and the observed signals, users receive adaptive levels, which can change continuously. DLP, lifecycle, or Conditional Access policies can respond to these levels.

Adaptive Protection connects signals and context, user risk level, and preventive controls.
Figure 6 - The calculated risk feeds preventive controls adjusted to the context.

14.1 Example of adaptive behavior

A lower-level user may only receive education and auditing. At a moderate level, sending sensitive data may require justification. At a high level, the organization may block exfiltration to personal destinations and apply additional access controls. The exact configuration is defined by the administrators.

14.2 Difference between risk level and alert severity

The adaptive level represents the dynamic condition assigned to the user for the application of controls. The severity of an alert represents the priority of an investigable event. They are related, but they are not the same metric.

15. Data Security Posture Management

Data Security Posture Management, or , adopts a data-centered view. It helps to discover sensitive information, assess exposure, policy coverage, accesses and movements, and recommend actions to reduce risk. Instead of only looking at infrastructure, it asks where the data resides, who can access it, how it is used, and if it is properly protected.

Data Security Posture Management consolidates discovery, exposure, prioritization, recommendation, and investigation.
Figure 7 - consolidates discovery, exposure, prioritization, recommendation, and investigation.

15.1 Posture is not a single control

uses signals and insights from , DLP, , and investigations. It provides a consolidated view, but remediation usually occurs by configuring these underlying solutions.

15.2 Objectives and recommendations

The organization can track data security objectives, trends, coverage gaps, and risky destinations. Recommendations help prioritize labels, DLP policies, access governance, and investigations, according to availability and licensing.

16. Data Security Investigations

Data Security Investigations helps security teams analyze incidents involving exposure of sensitive data, risky users, and breaches. The solution can use generative AI capabilities to locate impacted items, analyze content, summarize findings, and support collaboration between security, privacy, legal, and business.

16.1 Questions answered by an investigation

  • Which files, messages, or data were affected?
  • What types of sensitive information were present?
  • Who accessed or moved the content?
  • To which destinations was the data sent?
  • What is the potential impact and which actions should be prioritized?
  • What evidence needs to be preserved and shared with the responsible teams?

16.2 AI with human validation

AI-generated analyses can accelerate screening and discovery, but do not replace validation. Results need to be confirmed against evidence, permissions, and context. Disciplinary, legal, or communication decisions require human process and governance.

Important distinction

identifies and prioritizes posture and exposure. Data Security Investigations delves into a concrete case to understand impacted data and support remediation.

17. Integrated practical scenario

A financial services company prepares reports containing client data and strategic projections. The goal is to enable internal collaboration and with an external audit without allowing for sending to personal accounts or misuse by employees in the process of leaving.

Integrated scenario between discovery, protection, prevention, internal risk, and investigation.
Figure 8 - Several capabilities share context to protect the same data.

17.1 Implementation

  • A identifies financial information and personal data; a classifier recognizes planning reports.
  • The Highly Confidential label applies encryption, header, and watermark.
  • The publication policy requires justification to reduce the label.
  • DLP allows sharing with the audit domain, but blocks personal email and unauthorized storage.
  • Endpoint DLP controls USB, printing, and browser upload.
  • correlates repeated attempts and termination context.
  • increases the strictness of DLP for high-risk users.
  • shows exposure and gaps; an investigation analyzes the affected items and destinations.

18. Comparisons and pitfalls of the SC-900

ConceptMain questionNot to be confused with
Type of confidential informationDoes the content contain a sensitive pattern?Persistent label.
Trainable classifierDoes the document belong to a semantic category?Simple regular expression.
Content ExplorerWhere are the sorted items?Activity Explorer.
Activity ExplorerWhat activities occurred with the data?Content inventory.
Sensitivity labelHow to classify and protect persistently?Retention label.
DLPWhich action or fate must be controlled?Isolated cryptography.
Insider RiskWhat user behavior deserves investigation?Proof of guilt.
Adaptive ProtectionHow to adjust controls according to risk?Alert severity.
DSPMWhat is the stance and exposure of the data assets?Investigation of a specific case.
Data Security InvestigationsWhat data was affected in an incident?General posture panel.

18.1 Recurring traps

  • To claim that DLP is just blocking; it also audits, guides, alerts, and allows controlled substitution.
  • Confusing a watermark with encryption.
  • Confusing with .
  • Confusing sensitivity labels with retention labels.
  • Treat insider alert as evidence of malicious action.
  • To claim that replaces protection and prevention policies.
  • Ignore licensing, permissions, privacy, and gradual rollout.

19. Quick review for the SC-900 exam

TermObjective memorization
Information ProtectionDiscover, classify, and protect sensitive information.
SITDetector based on patterns, evidence, proximity, and trust.
Trainable classifierRecognizes categories by examples and semantic context.
Content ExplorerExplore where items are classified.
Activity ExplorerExplores activities carried out with data.
Sensitivity labelPersistent classification that can apply protection.
Label policyPublishes labels and configures the user experience.
DLPDetects and controls the use or sharing of sensitive data.
Insider Risk ManagementCorrelates signals to investigate internal risks.
Adaptive ProtectionApplies controls according to the level of risk.
DSPMConsolidates a vision of posture and exposure centered on data.
Data Security InvestigationsAnalyzes impacted data and supports incident response.
Final mind map Know = classification and explorers. Protect = labels, encryption, and markings. Prevent = DLP. Understand behavior = Insider Risk. Adjust dynamically = Adaptive Protection. Prioritize posture = DSPM. Investigate impact = Data Security Investigations.

20. Conclusion

Microsoft Purview turns data security into a continuous cycle. The organization starts by discovering and classifying content, applies labels and persistent protection, controls risk movements with DLP, monitors internal behaviors, adapts controls, and investigates exposures. This integration is more important than any isolated feature.

The main takeaway is that sensitive data still requires protection when it moves between device, application, or organization. Labels follow the content; DLP assesses context and destination; Insider Risk adds behavior; provides posture visibility; investigations deepen the impact. Quality depends on clear taxonomy, testing, least privilege, privacy, and human review.

In my assessment, Microsoft Purview represents a necessary evolution: moving from controls focused solely on infrastructure to governance centered on the value and risk of the data. When implemented with balance, this approach protects people and organizations without hindering legitimate collaboration.

Next step on the trail

In Chapter 16, the focus shifts to compliance, retention, records, audit, Communication Compliance, Information Barriers, and eDiscovery.

21. Review questions

Question 1: Which resource mainly answers the question 'where are the classified items'

of the organization?”

A) B) C) D) Compliance Manager

Commented answer

Correct answer: B. allows you to explore items classified by label, information type, classifier, and location.

Question 2: Which statement correctly describes a ?

A) It is just a visual mark. B) It is used only for retention. C) It is a persistent classification that can apply encryption, permissions, and markings. D) It overrides all DLP policies.

Commented answer

Correct answer: C. The label is associated with the content and can enforce configured protection.

Question 3: What is the main purpose of ?

A) Create SOC reports. B) Adjust preventive controls according to internal risk levels. C) Replace human investigation. D) Manage only record retention.

Commented answer

Correct answer: B. uses risk levels to apply DLP, lifecycle, or Conditional Access controls according to the configuration.

Question 4: Which solution provides a consolidated view of where sensitive data resides,

how they are exposed and which actions should be prioritized?

A) Data Security Posture Management B) Microsoft Sentinel C) Azure Bastion D) Service Trust Portal

Commented answer

Correct answer: A. focuses on the posture and exposure of data assets and recommends risk mitigation actions.

22. Essential Glossary

TermMeaning
Adaptive ProtectionIntegrates internal risk into dynamic preventive controls.
Activity ExplorerView of activities carried out with classified data.
Trainable classifierModel trained with examples to recognize content categories.
Content ExplorerView of classified items and locations.
Data Loss PreventionPolicies that detect and control the use or sharing of sensitive data.
DSPMData- and exposure-centered security posture management.
Exact Data MatchMatching sensitive values with a known base of the organization.
Information ProtectionCapabilities to know, classify, and protect data.
Insider Risk ManagementSolution to correlate signals and investigate internal risks.
Sensitivity labelPersistent classification that can apply protection.
SITType of confidential information based on standards and evidence.
Data Security InvestigationInvestigation of incidents involving the exposure of sensitive data.

Official references consulted

  • Microsoft Learn - Study guide for Exam SC-900: Microsoft Security, Compliance, and Identity Fundamentals. Updated in June 2026.
  • Microsoft Learn - Protect your sensitive data with Microsoft Purview. Updated in February 2026.
  • Microsoft Learn - Learn about sensitivity labels. Updated in April 2026.
  • Microsoft Learn - Get started with trainable classifiers.
  • Microsoft Learn - Data classification, and documentation.
  • Microsoft Learn - Microsoft Purview and Endpoint DLP documentation.
  • Microsoft Learn - and documentation.
  • Microsoft Learn - Data Security Posture Management. Updated in 2026.
  • Microsoft Learn - Data Security Investigations. Updated in 2026.

Note about update

Names, licensing, portals, and resource availability may change. For actual deployment, always check the current documentation and requirements.