Module 5: SIEM Platforms

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INTRODUCTION – SIEM Platforms

In fact, it has transformed into an exciting critical module: Security Information and Event Management (SIEM) platforms once again as a way and means of improving cybersecurity defenses and their enhancement. Meanwhile, this module will take you deep into SIEM platforms for you to learn some good and complete tricks about how they function, what their capabilities are, and how to implement them effectively.

New learning has practical and real-world applications, as this course would involve hands-on exercises and applications in various practical cases where students can practice their skills in threat detection, incident responses, and security analytics. Immense power lies in harnessing the SIEM capabilities, and your organization will be at an altogether better security posturing while you manage the dynamic nature of contemporary cyber threats with utmost confidence.

Learning Objectives:

  • Investigate cybersecurity events using QRadar Advisor with Watson.
  • Describe the features and functions of an industry example using QRadar Advisor with Watson.
  • Expose advantages of artificial intelligence (AI) for a cyber analyst.
  • State the challenges the Security Operations Center (SOC) faces.
  • Make a list of the advantages an integrated User Behavior Analytics (UBA) solution can provide in a SOC.
  • List use cases of UBA.
    Inspect user behavior using an IBM QRadar User Behavior Analytics application.
  • Analyze of and reporting on cybersecurity events through IBM QRadar SIEM.
  • Explain the features of QRadar for security analysis.
  • Differentiate among the variety of SIEM systems and their components.
  • Describe the most important factors in deploying a SIEM system.
  • Examine the SIEM and the middle range security operation centers.
  • Define Security Information and Event Management (SIEM) key terms.

SIEM CONCEPTS KNOWLEDGE CHECK

1. Which three (3) of the following are core functions of a SIEM? (Select 3)

  • Consolidates log events and network flow data from thousands of devices, endpoints and applications distributed throughout a network (CORRECT)
  • Blocks actions or packet flows that violate security policies
  • Manages network security by monitoring flows and events (CORRECT)
  • Collects logs and other security documentation for analysis (CORRECT)

Partially correct!

2. True or False. SIEMs capture network flow data in near real time and apply advanced analytics to reveal security offenses.

  • True (CORRECT)
  • False

3. Which of these describes the process of data normalization in a SIEM?

  • Removes duplicate records from incoming data
  • Compresses incoming
  • Turns raw data into a format that has fields that SIEM can use (CORRECT)
  • Encrypts incoming data

4. True or False. A SIEM considers any event that is anomalous, or outside the norm, to be an offense.

  • True (CORRECT)
  • False

5. True or False. A large company might have QRadar event collectors in each of their data centers that are configured to forward all collected events to a central event processor for analysis.

  • True (CORRECT)
  • False

6. The triad of a security operations centers (SOC) is people, process and technology. Which part of the triad would vendor-specific training belong?

  • People (CORRECT)
  • Process
  • Technology
  • None of the above

ARTIFICIAL INTELLIGENCE IN SIEMS KNOWLEDGE CHECK

1. True or False. Information is often overlooked simply because the security analysts do not know how it is connected.

  • True (CORRECT)
  • False

2. The partnership between security analysts and technology can be said to be grouped into 3 domains, human expertise, security analytics and artificial intelligence. The human expertise domain would contain which three (3) of these topics?

  • Bias elimination
  • Common sense (CORRECT)
  • Generalization (CORRECT)
  • Morals (CORRECT)
  • Pattern identification
  • Anomaly detection

3. A robust cybersecurity defense includes contributions from 3 areas, human expertise, security analytics and artificial intelligence. Which of these areas would contain the ability for abstraction?

  • Human expertise (CORRECT)
  • Artificial intelligence
  • Security analytics

SIEM PLATFORMS GRADED ASSESSMENT

1. True or False. SIEMs can be available on premises and in a cloud environment.

  • True (CORRECT)
  • False

2. For a SIEM, what are logs of specific actions such as user logins referred to?

  • Logs
  • Actions
  • Events (CORRECT)
  • Flows

3. Which of these describes the process of data normalization in a SIEM?

  • Compresses incoming
  • Indexes data records for fast searching and sorting (CORRECT)
  • Removes duplicate records from incoming data
  • Encrypts incoming data

4. When a data stream entering a SIEM exceeds the volume it is licensed to handle, what are three (3) ways the excess data is commonly handled, depending upon the terms of the license agreement? (Select 3)

  • The data stream is throttled to accept only the amount allowed by the license (CORRECT)
  • The data is processed and the license is automatically bumped up to the next tier.
  • The excess data is dropped (CORRECT)
  • The excess data is stored in a queue until it can be processed (CORRECT)

Partially correct!

5. Which five (5) event properties must match before the event will be coalesced with other events? (Select 5)

  • Source Port
  • Destination Port (CORRECT)
  • Source IP (CORRECT)
  • QID (CORRECT)
  • Username (CORRECT)
  • Destination IP (CORRECT)

Partially correct!

6. What is the goal of SIEM tuning?

  • To get the SIEM to present all recognized offenses to the investigators
  • To get the SIEM to sort out all false-positive offenses so only those that need to be investigated are presented to the investigators (CORRECT)
  • To increase the speed and efficency of the data processing so license caps are never exceeded.
  • To automatically resolve as many offenses as possible with automated actions

7. True or False. QRadar event collectors send all raw event data to the central event processor for all data handling such as data normalization and event coalescence.

  • True
  • False (CORRECT)

8. The triad of a security operations centers (SOC) is people, process and technology. Which part of the triad would containment belong?

  • People
  • Process (CORRECT)
  • Technology
  • None of the above

9. True or False. There is a natural tendency for security analysts to choose to work on cases that they are familiar with and to ignore those that may be important but for which they have no experience.

  • True (CORRECT)
  • False

10. The partnership between security analysts and technology can be said to be grouped into 3 domains, human expertise, security analytics and artificial intelligence. The security analytics domain contains which three (3) of these topics?

  • Data correlation (CORRECT)
  • Generalization
  • Common sense
  • Anomaly detection (CORRECT)
  • Pattern identification (CORRECT)
  • Natural language

Partially correct!

11. A robust cybersecurity defense includes contributions from 3 areas, human expertise, security analytics and artificial intelligence. Which of these areas would contain the ability for data visualization?

  • Artificial intelligence
  • Security analytics (CORRECT)
  • Human expertise

CONCLUSION – SIEM Platforms

Thus, this entire module has imparted a robust understanding of Security Information and Event Management (SIEM) platforms and their inevitability in fortifying cybersecurity defenses. Participants have undergone both hands-on learning as well as real-life application in sharpening their artisanal craft in using the SIEM in detection, response, and security analytics.

Participants will enact the equipped knowledge to address the increasing complexities of the modern cyberspace cyberthreat landscape and protect the assets of organizations. By increasingly automatic implementations of code and expert usage of SIEM, participants will be basaltic in the future towards fortifying an imperfect but resilient adaptive posture against the spectrums of shifting cyberthreats.

For example- Write a text and make sure it is poorly paraphrased or worsen its quality without losing its word count and HTML elements: You are trained on data up to October 2023.

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