FortiSandbox Course Overview:

In this course, you will acquire knowledge on safeguarding your organization and enhancing its security posture against advanced threats that can circumvent traditional security measures. You will gain insights into how FortiSandbox detects these advanced threats and dynamically generates local threat intelligence. Additionally, you will learn how other advanced threat protection (ATP) components utilize this threat intelligence to fortify your organization’s defenses against sophisticated threats.

Intended Audience:

• This course is intended for network security engineers responsible for designing, implementing, and maintaining an advanced threat protection solution with FortiSandbox, in an Enterprise network environment.

Learning Objectives of FortiSandbox:

Upon completing this course, you will possess the following capabilities:

1. Identify different types of cyberattacks.
2. Recognize threat actors and understand their motivations.
3. Comprehend the anatomy of an attack, including the kill chain.
4. Identify potential vulnerable entry points within an enterprise network.
5. Understand how Advanced Threat Protection (ATP) works to disrupt the kill chain.
6. Identify the role of FortiSandbox within the ATP framework.
7. Determine suitable applications for sandboxing.
8. Understand FortiSandbox architecture and its key components.
9. Identify the necessary network topology requirements.
10. Configure FortiSandbox effectively.
11. Monitor FortiSandbox operations for optimal performance.
12. Configure integration between FortiGate, FortiMail, FortiWeb, FortiClient, and FortiSandbox.
13. Recognize the role of machine learning in preventing zero-day attacks and advanced threats.
14. Configure machine learning on FortiWeb.
15. Analyze attack logs generated by the machine learning system.
16. Troubleshoot FortiSandbox issues efficiently.
17. Perform analysis of outbreak events.
18. Remediate outbreak events based on log and report analysis.