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学生对 IBM 提供的 Cyber Threat Intelligence 的评价和反馈

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课程概述

This course gives you the background needed to gain Cybersecurity skills as part of the Cybersecurity Security Analyst Professional Certificate program. You will understand network defensive tactics, define network access control and use network monitoring tools. You will understand data protection risks and explore mobile endpoint protection. Finally you will recognize various scanning technologies, application security vulnerabilities and threat intelligence platforms. This course also gives you hands on access to cybersecurity tools important to a system analyst. This course is intended for anyone who wants to gain a basic understanding of Cybersecurity or as the sixth course in a series of courses to acquire the skills to work in the Cybersecurity field as a Cybersecurity Analyst. The completion of this course also makes you eligible to earn the Cyber Threat Intelligence IBM digital badge. More information about the badge can be found https://www.youracclaim.com/org/ibm/badge/cyber-threat-intelligence. In this course, you will learn to: • Describe examples of network defensive tactics. • Discuss data loss prevention and endpoint protection concepts and tools. • Explore a data loss prevention tool and learn how to classify data in your database environment. • Describe security vulnerability scanning technologies and tools. • Recognize application security threats and common vulnerabilities. • Identify the key concepts around threat intelligence. • Explore a SIEM product and review suspicious alerts and how to take action....

热门审阅

DK

Jul 10, 2020

SIEM Concepts and Benefits - First

video is missing, i can hear only the audio in most part of the video.

Kindly, check at your end to avoid problem to the other viewers.

Thank you

RR

May 24, 2022

I studied for a LONG time for this and it paid off. I'm taking this certification for preparation towards the Security+, so far, I think it's doing a good job at preparing me for it.

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76 - Cyber Threat Intelligence 的 100 个评论(共 213 个)

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