Skip to content

Commit 1c8afef

Browse files
committed
new dspm for ai module
1 parent 3f4fcec commit 1c8afef

File tree

2 files changed

+87
-10
lines changed

2 files changed

+87
-10
lines changed

learn-pr/wwl-sci/purview-identify-mitigate-ai-risks/index.yml

Lines changed: 12 additions & 10 deletions
Original file line numberDiff line numberDiff line change
@@ -3,31 +3,32 @@ uid: learn.wwl.purview-identify-mitigate-ai-risks
33
metadata:
44
title: Identify and mitigate AI data security risks
55
description: "Identify and mitigate AI data security risks."
6-
ms.date: 01/24/2025
6+
ms.date: 02/06/2025
77
author: wwlpublish
88
ms.author: riswinto
99
ms.topic: module
1010
ms.service: purview
1111
hidden: false
12-
title: Use Microsoft Priva Tracker Scanning for web tracking complianceIdentify and mitigate AI data security risks
13-
summary: Microsoft Priva Tracker Scanning helps organizations identify, categorize, and manage web tracking technologies to ensure compliance and transparency. Learn how to configure Tracker Scanning, create and manage tracker categories, run scans to detect tracking technologies, and support responsible data practices aligned with user expectations.
12+
title: Identify and mitigate AI data security risks. AI data security risks
13+
summary: Microsoft Purview Data Security Posture Management (DSPM) for AI helps organizations monitor AI activity, enforce security policies, and prevent unauthorized data exposure. Learn how to configure DSPM for AI, track AI interactions, run data assessments, and apply security controls to reduce risks associated with AI usage.
1414
abstract: |
1515
After completing this module, you'll be able to:
16-
- Explain the purpose and benefits of Microsoft Priva Tracker Scanning.
17-
- Set up and configure Tracker Scanning to meet your organization's needs.
18-
- Create and manage tracker categories and assign trackers effectively.
19-
- Configure and run scans to detect tracking technologies and compliance objects.
20-
- Analyze scan results to address compliance issues and improve tracking practices.
16+
- Explain the purpose and benefits of Microsoft Purview DSPM for AI.
17+
- Set up and configure DSPM for AI to monitor AI interactions.
18+
- Identify and analyze AI security risks using reports and insights.
19+
- Run and review AI data assessments to detect oversharing risks.
20+
- Apply security policies, such as DLP and sensitivity labels, to protect AI-referenced data.
2121
prerequisites: |
2222
- Familiarity with Microsoft 365 services.
23-
- Basic understanding of web trackers, cookies, and privacy compliance practices.
23+
- Basic understanding of AI tools like Microsoft 365 Copilot.
24+
- Knowledge of security and compliance concepts, such as data loss prevention (DLP) and sensitivity labels.
2425
iconUrl: /training/achievements/generic-badge.svg
2526
levels:
2627
- intermediate
2728
roles:
2829
- auditor
2930
- administrator
30-
- privacy-manager
31+
- risk-practitioner
3132
products:
3233
- microsoft-purview
3334
- m365
@@ -40,6 +41,7 @@ units:
4041
- learn.wwl.purview-identify-mitigate-ai-risks.dspm-ai-overview
4142
- learn.wwl.purview-identify-mitigate-ai-risks.configure-dspm-ai
4243
- learn.wwl.purview-identify-mitigate-ai-risks.review-ai-security-reports
44+
- learn.wwl.purview-identify-mitigate-ai-risks.data-assessments
4345
- learn.wwl.purview-identify-mitigate-ai-risks.knowledge-check
4446
- learn.wwl.purview-identify-mitigate-ai-risks.summary
4547

Lines changed: 75 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,75 @@
1+
### YamlMime:ModuleUnit
2+
uid: learn.wwl.purview-identify-mitigate-ai-risks.knowledge-check
3+
title: Knowledge check
4+
metadata:
5+
title: Knowledge check
6+
description: "Knowledge check"
7+
ms.date: 02/06/2025
8+
author: wwlpublish
9+
ms.author: riswinto
10+
ms.topic: unit
11+
azureSandbox: false
12+
labModal: false
13+
durationInMinutes: 5
14+
quiz:
15+
title: "Check your knowledge"
16+
questions:
17+
- content: "Your organization is concerned about AI-related data security risks. How does Microsoft Purview Data Security Posture Management (DSPM) for AI help mitigate these risks?"
18+
choices:
19+
- content: "It provides visibility into AI interactions, enforces security policies, and prevents unauthorized data exposure."
20+
isCorrect: true
21+
explanation: "Correct: DSPM for AI helps organizations track AI usage, apply security controls, and ensure compliance with data protection policies."
22+
- content: "It blocks all AI activity by default to prevent security risks."
23+
isCorrect: false
24+
explanation: "Incorrect: DSPM for AI doesn't block AI activity by default but provides monitoring and policy enforcement to reduce risks."
25+
- content: "It replaces traditional data loss prevention (DLP) policies with AI-specific rules."
26+
isCorrect: false
27+
explanation: "Incorrect: DSPM for AI works alongside DLP policies but doesn't replace them."
28+
29+
- content: "A security team wants to track non-Microsoft AI usage in the organization. What prerequisite should they configure?"
30+
choices:
31+
- content: "Enable Microsoft Defender for Endpoint."
32+
isCorrect: false
33+
explanation: "Incorrect: While Defender provides security protections, it isn't required for DSPM for AI to track AI activity."
34+
- content: "Assign Microsoft Copilot licenses to all users."
35+
isCorrect: false
36+
explanation: "Incorrect: Copilot licenses are required for Microsoft 365 Copilot usage but don't enable tracking of non-Microsoft AI tools."
37+
- content: "Install the Microsoft Purview browser extension."
38+
isCorrect: true
39+
explanation: "Correct: The browser extension is required to monitor non-Microsoft AI site visits and interactions."
40+
41+
- content: "Your organization wants to prevent AI tools from summarizing sensitive files in SharePoint. Which DSPM for AI feature helps with this?"
42+
choices:
43+
- content: "AI-generated content review"
44+
isCorrect: false
45+
explanation: "Incorrect: While DSPM for AI helps monitor AI-generated content, DLP policies specifically enforce restrictions on AI interactions."
46+
- content: "Data loss prevention (DLP) policies"
47+
isCorrect: true
48+
explanation: "Correct: DSPM for AI integrates with DLP policies to prevent AI tools like Copilot from summarizing labeled or classified content."
49+
- content: "Activity Explorer tracking"
50+
isCorrect: false
51+
explanation: "Incorrect: Activity Explorer helps investigate AI interactions but doesn't enforce data security policies."
52+
53+
- content: "A security analyst needs to review AI usage trends across Microsoft 365 Copilot and non-Microsft AI tools. Which report should they use?"
54+
choices:
55+
- content: "Total interactions over time"
56+
isCorrect: true
57+
explanation: "Correct: This report provides insights into AI usage patterns, helping security teams monitor adoption and detect anomalies."
58+
- content: "Sensitive interactions per AI app"
59+
isCorrect: false
60+
explanation: "Incorrect: This report focuses on AI applications that process sensitive data, not overall AI usage trends."
61+
- content: "Top sensitivity labels referenced in Copilot"
62+
isCorrect: false
63+
explanation: "Incorrect: This report highlights labeled content referenced in Copilot but doesn't track overall AI usage."
64+
65+
- content: "What is the purpose of AI data assessments in DSPM for AI?"
66+
choices:
67+
- content: "To block AI-generated content from being saved in SharePoint."
68+
isCorrect: false
69+
explanation: "Incorrect: Data assessments identify security risks but don't block AI-generated content."
70+
- content: "To delete all files accessed by AI tools."
71+
isCorrect: false
72+
explanation: "Incorrect: Data assessments don't delete files but provide insights into AI-related security risks."
73+
- content: "To identify sensitive data that AI tools might access and help enforce security controls."
74+
isCorrect: true
75+
explanation: "Correct: AI data assessments help security teams identify and mitigate risks related to AI interactions with sensitive data."

0 commit comments

Comments
 (0)