AWS Certified Security - Specialty (SCS-C02) Cert Prep: 1 Threat Detection and Incident Response

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Noah Gift

37:27

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01 - Introduction

01 - Course overview.mp4

05:13

02 - 1. Domain 1 Threat Detection and Incident Response

01 - Designing and implementing incident response plans.mp4

02:16

02 - Demo AWS Security Hub.mp4

03:39

03 - Responding to compromised resources and workloads.mp4

04:16

04 - Automating incident response with AWS Lambda.mp4

02:27

05 - Conducting root cause analysis with Amazon Detective.mp4

03:31

06 - Capturing forensics data from compromised resources.mp4

02:34

07 - Querying logs to validate security events.mp4

02:34

08 - Preserving forensic artifacts with S3 Object Lock.mp4

02:13

09 - Preparing and recovering services after incidents.mp4

01:59

10 - High availability.mp4

03:07

11 - Compliance.mp4

02:22

03 - Conclusion

01 - Threat detection and incident response summary.mp4

01:16

Description

The AWS Certified Security – Specialty (SCS-C02) exam is intended for individuals who perform a security role. The exam validates a candidate’s ability to effectively demonstrate knowledge about securing the AWS platform. This course, first in a learning path to help you prepare for the exam, focuses on threat detection and incident response. MLOps expert, author, and adjunct professor Noah Gift guides you through this domain of the exam. Learn how to design and implement incident response plans, respond to compromised resources and workloads, and use AWS to automate incident response. Find out how to use Amazon Detective to conduct root cause analysis, and explore ways to capture forensics data from compromised resources. Go over querying logs to validate security events, as well as preserving forensic artifacts with S3 Object Lock and preparing and recovering services after incidents. Plus, learn about high availability and compliance.

This course was created by Noah Gift. We are pleased to host this training in our library.

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Amazon AWS

Network Security

Information Security

Noah Gift

Instructor's Courses

Author of Practical MLOps, Enterprise MLOps, Developing on AWS with C#, Pragmatic AI, and Python for DevOps. Certified on Multiple MLOps certifications including Google-Professional Machine Learning Engineer and AWS Certified Machine Learning - Specialty. Adjunct Professor at Duke MIDS & Northwestern Graduate Data Science & AI. Held business roles including CTO, general manager, consulting CTO, and cloud architect. Consults with start-ups and other companies on machine learning and cloud architecture. AWS ML Hero, Python Software Foundation Fellow, AWS Subject Matter on Machine Learning, AWS Certified Solutions Architect, AWS Certified Machine Learning Specialist, AWS Certified Big Data Specialist, Google Certified Professional Architect, and AWS Academy Accredited Instructor. Published books, videos, and courses on cloud machine learning, DevOps, Python, Data Science, Big Data and AI. ★ Specialties ★ ° Cloud-native Machine Learning and AI ° Directly teaching cutting edge skills to students that lead to jobs ° Creating world-class content in all forms ° Building Companies ° Shipping new Products ° Leading and growing engineering teams ° Production Machine Learning, Deep Learning, Big Data, and AI ° Serverless Data Engineering ° Advising Early Stage Startups/Consulting CTO services ° Distributed Systems and Scalability

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