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Exam Number : MS-500
Exam Name : Microsoft 365 Security Administration
Vendor Name : Microsoft
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MS-500 exam Format | MS-500 Course Contents | MS-500 Course Outline | MS-500 exam Syllabus | MS-500 exam Objectives

Exam Number : MS-500

Exam Name : Microsoft 365 Security Administration

In this course you will learn how to secure user access to your organizations resources. The course covers user password protection, multi-factor authentication, how to enable Azure Identity Protection, how to setup and use Azure AD Connect, and introduces you to conditional access in Microsoft 365. You will learn about threat protection technologies that help protect your Microsoft 365 environment. Specifically, you will learn about threat vectors and Microsofts security solutions to mitigate threats. You will learn about Secure Score, Exchange Online protection, Azure Advanced Threat Protection, Windows Defender Advanced Threat Protection, and threat management. In the course you will learn about information protection technologies that help secure your Microsoft 365 environment. The course discusses information rights managed content, message encryption, as well as labels, policies and rules that support data loss prevention and information protection. Lastly, you will learn about archiving and retention in Microsoft 365 as well as data governance and how to conduct content searches and investigations. This course covers data retention policies and tags, in-place records management for SharePoint, email retention, and how to conduct content searches that support eDiscovery investigations.

Learners should start this course already having the following skills:

Basic conceptual understanding of Microsoft Azure.

Experience with Windows 10 devices.

Experience with Office 365.

Basic understanding of authorization and authentication.

Basic understanding of computer networks.

Working knowledge of managing mobile devices.

Course outline

Module 1: User and Group Management

This module explains how to manage user accounts and groups in Microsoft 365. It introduces you to the Zero Trust concept as well as authentication. The module sets the foundation for the remainder of the course.


Identity and Access Management concepts

The Zero Trust model

Plan your identity and authentication solution

User accounts and roles

Password Management

Lab : Initialize your tenant - users and groups

Set up your Microsoft 365 tenant

Manage users and groups

Lab : Password management

Configure Self-service password reset (SSPR) for user accounts in Azure AD

Deploy Azure AD Smart Lockout

After completing this module, students will be able to:

Create and manage user accounts.

Describe and use Microsoft 365 admin roles.

Plan for password policies and authentication.

Describe the concepts of Zero Trust security.

Explain the Zero Trust model.

Module 2: Identity Synchronization and Protection

This module explains concepts related to synchronizing identities for Microsoft 365. Specifically, it focuses on Azure AD Connect and managing directory synchronization to ensure the right people are connecting to your Microsoft 365 system.


Plan directory synchronization

Configure and manage synchronized identities

Azure AD Identity Protection

Lab : Implement Identity Synchronization

Set up your organization for identity synchronization

After completing this module, students will be able to:

Explain directory synchronization.

Plan directory synchronization.

Describe and use Azure AD Connect.

Configure Azure AD Connect Prerequisites.

Manage users and groups with directory synchronization.

Describe Active Directory federation.

Enable Azure Identity Protection

Module 3: Identity and Access Management

This module explains conditional access for Microsoft 365 and how it can be used to control access to resources in your organization. The module also explains Role Based Access Control (RBAC) and solutions for external access. They discuss identity governance as a concept and its components.


Application Management

Identity Governance

Manage device access

Role Based Access Control (RBAC)

Solutions for external access

Privileged Identity Management

Lab : Use Conditional Access to enable MFA

MFA Authentication Pilot (require MFA for specific apps)

MFA Conditional Access (complete an MFA roll out)

Lab : Configure Privileged Identity Management

Manage Azure resources

Assign directory roles

Activate and deactivate PIM roles

Directory roles

PIM resource workflows

View audit history for Azure AD roles in PIM

After completing this module, students will be able to:

Describe the concept of conditional access.

Describe and use conditional access policies.

Plan for device compliance.

Configure conditional users and groups.

Configure role based access control

Describe the concepts of identity governance

Configure and use Privileged Identity Management

Module 4: Security in Microsoft 365

This module explains the various cyber-attack threats that exist. It then introduces you to the Microsoft solutions used to mitigate those threats. The module finishes with an explanation of Microsoft Secure Score and how it can be used to evaluate and report your organizations security posture.


Threat vectors and data breaches

Security strategy and principles

Microsoft security solutions

Secure Score

Lab : Use Microsoft Secure Score

Improve your secure score in the Microsoft 365 Security Center

After completing this module, students will be able to:

Describe several techniques attackers use to compromise user accounts through email.

Describe techniques attackers use to gain control over resources.

List the types of threats that can be avoided by using EOP and Microsoft Defender for Office 365.

Describe the benefits of Secure Score and what kind of services can be analyzed.

Describe how to use Secure Score to identify gaps in your current Microsoft 365 security posture.

Module 5: Threat Protection

This module explains the various threat protection technologies and services available for Microsoft 365. The module covers message protection through Exchange Online Protection, Microsoft Defender for Identity and Microsoft Defender for Endpoint.


Exchange Online Protection (EOP)

Microsoft Defender for Office 365

Manage Safe Attachments

Manage Safe Links

Microsoft Defender for Identity

Microsoft Defender for Endpoint

Lab : Manage Microsoft 365 Security Services

Implement Microsoft Defender Policies

After completing this module, students will be able to:

Describe the anti-malware pipeline as email is analyzed by Exchange Online Protection.

Describe how Safe Attachments is used to block zero-day malware in email attachments and documents.

Describe how Safe Links protect users from malicious URLs embedded in email and documents that point

Configure Microsoft Defender for Identity.

Configure Microsoft Defender for Endpoint.

Module 6: Threat Management

This module explains Microsoft Threat Management which provides you with the tools to evaluate and address cyber threats and formulate responses. You will learn how to use the Security dashboard and Azure Sentinel for Microsoft 365.


Security dashboard

Threat investigation and response

Azure Sentinel

Advanced Threat Analytics

Lab : Using Attack Simulator

Conduct a simulated Spear phishing attack

Conduct simulated password attacks

After completing this module, students will be able to:

Describe how Threat Explorer can be used to investigate threats and help to protect your tenant.

Describe how the Security Dashboard gives C-level executives insight into top risks and trends.

Describe what Advanced Thread Analytics (ATA) is and what requirements are needed to deploy it.

Configure Advanced Threat Analytics.

Use the attack simulator in Microsoft 365.

Describe how Azure Sentinel can used for Microsoft 365.

Module 7: Microsoft Cloud Application Security

This module focuses on cloud application security in Microsoft 365. The module will explain cloud discovery, app connectors, policies, and alerts. You will learn how these features work to secure you cloud applications.


Deploy Cloud Application Security

Use cloud application security information

After completing this module, students will be able to:

Describe Cloud App Security.

Explain how to deploy Cloud App Security.

Control your Cloud Apps with Policies.

Use the Cloud App Catalog.

Use the Cloud Discovery dashboard.

Manage cloud app permissions.

Module 8: Mobility

This module focuses on securing mobile devices and applications. You will learn about Mobile Device Management and how it works with Microsoft Intune. You will also learn about how Intune and Azure AD can be used to secure mobile applications.


Mobile Application Management (MAM)

Mobile Device Management (MDM)

Deploy mobile device services

Enroll devices to Mobile Device Management

Lab : Device Management

Enable Device Management

Configure Azure AD for Intune

Create compliance and conditional access policies

After completing this module, students will be able to:

Describe mobile application considerations.

Manage devices with MDM.

Configure Domains for MDM.

Manage Device Security Policies.

Enroll devices to MDM.

Configure a Device Enrollment Manager Role.

Module 9: Information Protection and Governance

This module focuses on data loss prevention in Microsoft 365. You will learn about how to create policies, edit rules, and customize user notifications to protect your data.


Information protection concepts

Governance and Records Management

Sensitivity labels

Archiving in Microsoft 365

Retention in Microsoft 365

Retention policies in the Microsoft 365 Compliance Center

Archiving and retention in Exchange

In-place records management in SharePoint

Lab : Archiving and Retention

Initialize compliance

Configure retention tags and policies

After completing this module, students will be able to:

Configure sensitivity labels.

Configure archiving and retention in Microsoft 365.

Plan and configure Records Management

Module 10: Rights Management and Encryption

This module explains information rights management in Exchange and SharePoint. The module also describes encryption technologies used to secure messages.


Information Rights Management (IRM)

Secure Multipurpose Internet Mail Extension (S-MIME)

Office 365 Message Encryption

Lab : Configure Office 365 Message Encryption

Configure Office 365 Message Encryption

Validate Information Rights Management

After completing this module, students will be able to:

Describe the various Microsoft 365 Encryption Options.

Describe the use of S/MIME.

Describe and enable Office 365 Message Encryption.

Module 11: Data Loss Prevention

This module focuses on data loss prevention in Microsoft 365. You will learn about how to create policies, edit rules, and customize user notifications to protect your data.


Data loss prevention fundamentals

Create a DLP policy

Customize a DLP policy

Create a DLP policy to protect documents

Policy tips

Lab : Implement Data Loss Prevention policies

Manage DLP Policies

Test MRM and DLP Policies

After completing this module, students will be able to:

Describe Data Loss Prevention (DLP).

Use policy templates to implement DLP policies for commonly used information.

Configure the correct rules for protecting content.

Describe how to modify existing rules of DLP policies.

Configure the user override option to a DLP rule.

Explain how SharePoint Online creates crawled properties from documents.

Module 12: Compliance Management

This module explains the Compliance center in Microsoft 365. It discusses the components of compliance score.


Compliance center

After completing this module, students will be able to:

Describe how to use compliance score to make organizational decisions.

Describe how exams are used to determine compliance score.

Module 13: Insider Risk Management

This module focuses on insider risk related functionality within Microsoft 365. It covers not only Insider Risk Management in the compliance center but also information barriers and privileged access management as well.


Insider Risk

Privileged Access

Information barriers

Building ethical walls in Exchange Online

Lab : Privileged Access Management

Set up privileged access management and process a request

After completing this module, students will be able to:

Explain and configure Insider Risk Management in Microsoft 365.

Configure and approve privileged access requests for global administrators.

Configure and use information barriers to conform to organizational regulations.

Build ethical walls in Exchange Online

Configure Customer Lockbox

Module 14: Discover and Respond

This module focuses on content search and investigations. The module covers how to use eDiscovery to conduct advanced investigations of Microsoft 365 data. It also covers audit logs and discusses GDPR data subject requests.


Content Search

Audit Log Investigations

Advanced eDiscovery

Lab : Manage Search and Investigation

Investigate your Microsoft 365 Data

Conduct a Data Subject Request

After completing this module, students will be able to:

Conduct content searches in Microsoft 365

Perform and audit log investigation.

Configure Microsoft 365 for audit logging.

Use Advanced eDiscovery

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Ripple effects of manhattan times' suit of OpenAI, Microsoft | Killexams.com Resources

there is a typical tendency to be cavalier about copyright protection, and to use or share protected material comparable to newspaper articles devoid of permission because businesses so hardly get caught or penalized for doing so. but if The new york instances prevails in its copyright infringement lawsuit towards Microsoft and OpenAI for the use of its articles to coach ChatGPT, this might exchange. 

At a minimal, agencies that use generative AI will deserve to be more mindful of copyright law. they'll deserve to watch the articles, research and statistics used to educate the gigantic language fashions they use, notwithstanding the practising is performed with the aid of a third birthday celebration, and comprehend no matter if any of that content material is protected by using copyright legislations and hence off limits. here's especially true for banks that plan to open up a big language mannequin to consumers in the variety of a chatbot, the manner OpenAI has finished with ChatGPT.

U.S. copyright legislations offers the owner of a copyright — the creator of a chunk of content or that creator's agency — the right to handle the copying of that work and control the modification or adaptation of the work into new works. 

however a corporation handiest makes use of a huge language model internally, if that mannequin is expert on copyrighted material that the bank did not have a license to use or permission to train the mannequin on, it seemingly is violating copyright legislations, based on Nelson Rosario, founder and associate, Rosario Tech legislation. however, he stated, it might be challenging for an outsider to uncover that infringement. 

The new york times' lawsuit centers specially on the publicly accessible ChatGPT, which OpenAI and Microsoft both have a hand in training, in accordance with the grievance. The newspaper spoke of Microsoft's and OpenAI's generative synthetic intelligence tools count on enormous language fashions "that had been developed by means of copying and the usage of tens of millions of The times's copyrighted information articles, in-depth investigations, opinion pieces, reviews, how-to publications, and more." The long island times additionally noted that despite the fact Microsoft and OpenAI copied from many sources, "they gave times content specific emphasis when constructing their LLMs — revealing a alternative that acknowledges the cost of these works." 

additional, the paper stated that through Microsoft's Bing Chat and OpenAI's ChatGPT, Microsoft and OpenAI "searching for to free-experience on The times's huge investment in its journalism by using it to construct substitutive products without permission or payment." 

"We admire the rights of content material creators and homeowners and are committed to working with them to make certain they improvement from AI expertise and new earnings fashions," an OpenAI spokeswoman observed in an announcement. "Our ongoing conversations with the new york instances were productive and moving ahead constructively, so they are shocked and disenchanted with this building. We're hopeful that they will find a mutually really helpful strategy to work together, as we're doing with many different publishers." Microsoft didn't respond to a request for an interview through cut-off date.

The influence on banks

generally speaking, banks don't seem to be developers of generative AI models the style Microsoft and OpenAI are — they are readily users. As such, they are far much less doubtless than tech companies to get sued for copyright infringement.

thus far, there haven't been any U.S. complaints targeting users of generative AI fashions, noted Cleary Gottlieb highbrow property companion Angela Dunning. proceedings in opposition t developers of AI models like OpenAI and Microsoft "will probably subsequently activate the question of even if practicing a foundational generative AI mannequin on copyrighted content material constitutes fair use," Dunning observed.  

but banks are the use of giant language fashions for an more and more huge latitude of uses. It is only a count number of time before they supply chatbots that give access to some generative AI models to customers. At that element, any use of copyrighted material to train their fashions may be found out and called out. 

"The risk of intellectual property and copyright infringement is a major issue for banks, above all when using pre-proficient AI fashions from third events or information purchased from providers," pointed out Ryan Favro, managing major at Capco. 

Mitigating the possibility

big language fashions like OpenAI's GPT are fed immense quantities of documents, facts and sites (hence the notice "giant"). They start to perceive patterns between words and "be trained" to predict what the outputs to prompts should be. 

Banks that use colossal language fashions that were educated by a vendor may also get indemnification insurance plan from that seller within the event they are sued. In November, Microsoft introduced that customers licensing Azure OpenAI service, the business's managed provider that adds governance layers on right of OpenAI fashions, can expect to be defended and compensated by way of Microsoft for any hostile judgements if they're sued for copyright infringement while the use of Azure OpenAI provider or the outputs it generates. Microsoft didn't respond to questions about its indemnification coverage with the aid of time limit, but pointed to the announcement in addition to a September announcement that users of its Copilot items should be included. "if you're challenged on copyright grounds, they can expect responsibility for the knowledge felony dangers concerned," the remark pointed out. 

youngsters, even the place a application seller provides insurance policy, banks ought to nevertheless be aware of how these fashions were informed, Favro said. 

"The felony landscape, exceptionally round what constitutes reasonable use in AI training, is still evolving," Favro mentioned. 

A bank seeking to train a mannequin on statistics purchased from a seller should take care to search for applicable representations and warranties as to the source of and rights to the information, as well as a extensive indemnification provision may still those representations show unsound and result in litigation, Dunning noted.

"All agencies determining to enhance AI fashions should set strict parameters round how and on what these models may be informed, coach and monitor employees to ensure compliance and maintain cautious facts to doc the moral sourcing, composition, filtering and use of coaching statistics," she pointed out.

Banks can further lessen chance by way of carefully vetting the models they opt for and making certain that their intended makes use of align with the protection, ethics and privacy interests of their valued clientele, Favro pointed out. 

"The center of attention may still be not simplest on what outputs are generated, however how these outputs are sooner or later used and stored," he referred to.

Most banks don't coach their own generative AI fashions because of the high prices concerned, Favro pointed out. Many banks use a way called Retrieval Augmented technology where the AI equipment dynamically accommodates a financial institution's own, proprietary facts right through its operation, he observed. 

"suppose of it because the AI having actual-time entry to a financial institution's enjoyable database to answer questions or clear up complications, ensuring that the responses are grounded within the financial institution's particular expertise and context," Favro pointed out. "This method is in particular valuable for banks because it enormously reduces the risk of IP conflicts. by primarily relying on their internal records, banks stay away from the complexities and prison uncertainties linked to the usage of exterior, doubtlessly copyrighted fabric. it's a safer route, each when it comes to compliance and ethical AI use."

As banks step by step stream towards practicing their own fashions, the focus on using internally sourced records will develop into much more critical, he said. 

"they may need to activity rigorous scrutiny over the datasets incorporated, ensuring they align with regulatory standards and prevent any IP infringements," Favro observed. "This inner vigilance is simple no longer handiest for felony compliance however also for conserving the integrity and trustworthiness of the AI methods they installation."

Favro additionally stated that banks deserve to teach employees in regards to the complexities and risks linked to generative AI and intellectual property, and trace and audit generative AI usage. 

"Banks may still be able to tune and doc their AI interactions end to end," Favro spoke of.

A cautious method would additionally contain steering away from use cases that might provoke IP owners' grievances, Favro mentioned. for example, the usage of generative AI to generate code is harmful as a result of there is a hazard of adopting code that's somebody else's highbrow property. Even where a financial institution can pay licensing charges for application, there can also be issues round attribution and contribution, he noted. but the use of the know-how to conduct AI-assisted code stories and check present code can present cost savings without overstepping into contentious IP areas, he talked about.

Banks also have to suppose about the skills for misuse of generative AI beyond copyright infringement. 

"Banks may still take care to ensure that models are not trained on documents or facts constituting alternate secret fabric or data covered by privateness rights of third parties who haven't consented," Dunning mentioned. "Generative AI should also not be used for purposes of constructing credit score, employment, housing, insurance, criminal, medical or other vital choices about any one."


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