Course Content
Module 1: Introduction to Cybersecurity Incident Response
This module highlights the significance of incident response, explores various cybersecurity incidents, and introduces the critical roles within an effective Incident Response Team (IRT).
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Module 2: Incident Response Lifecycle
This module covers the phases of the incident response lifecycle, from preparation and identification to containment, eradication, recovery, and lessons learned, ensuring a structured approach to handling cybersecurity incidents.
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Module 3: Preparation for Incident Response
This module focuses on preparing for cybersecurity incidents, including establishing policies, creating an incident response plan, setting up tools and technologies, and training response teams for effective readiness.
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Module 4: Identifying Cybersecurity Incidents
This module focuses on recognizing cybersecurity incidents, understanding indicators of compromise (IoCs), and utilizing monitoring systems, including SIEM, for effective incident detection and timely reporting.
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Module 5: Effective Incident Containment
This module focuses on strategies for effectively containing cybersecurity incidents, including isolating affected systems, maintaining communication, and preventing further escalation to minimize damage and impact.
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Module 6: Eradication of Threats
This module focuses on identifying the root cause of cybersecurity incidents, removing threats such as malware, securing configurations, and ensuring thorough verification of threat elimination to restore system integrity.
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Module 7: Recovery and Post-Incident Steps
This module focuses on restoring affected systems and services after an incident, ensuring system integrity, validating recovery efforts, and rebuilding confidence with stakeholders through effective post-incident procedures.
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Module 8: Lessons Learned and Continuous Improvement
This module focuses on conducting post-incident reviews, updating response plans, enhancing security measures, and leveraging lessons learned to continuously improve incident response strategies and organizational resilience.
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Module 9: Legal, Compliance, and Reporting
This module explains the legal obligations and compliance requirements during incident response, including reporting standards, communicating with authorities, and managing public and media interactions during a cybersecurity incident.
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Module 11: Incident Response in Different Environments
This module explores incident response strategies for different environments, including on-premises systems, cloud platforms, and mobile devices, with a focus on adapting techniques for specific threats like ransomware.
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Module 12: Simulating and Testing Incident Response
This module focuses on testing and simulating incident response through tabletop exercises, red team vs. blue team simulations, and penetration testing to evaluate and improve response readiness and effectiveness.
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Cybersecurity Incident Response Basics
About Lesson

Tools for Identifying Cybersecurity Incidents

Several tools and technologies are available to assist in identifying cybersecurity incidents. These tools provide real-time detection, alerting, and analysis to help security teams detect suspicious activity as early as possible. Some key tools include:

 

Security Information and Event Management (SIEM): SIEM platforms collect and analyze log data from various systems, helping to identify abnormal patterns or behaviors that may indicate an incident. Popular SIEM tools include Splunk, IBM QRadar, and ArcSight.

 

Intrusion Detection and Prevention Systems (IDS/IPS): IDS/IPS tools monitor network traffic and system activities for signs of malicious behavior. IDS detects potential incidents, while IPS can actively block threats. Examples include Snort and Suricata.

 

Endpoint Detection and Response (EDR): EDR tools provide continuous monitoring and real-time detection of endpoint activities. They help identify suspicious behavior at the user level, such as malware installation or lateral movement within a network. Examples include CrowdStrike, SentinelOne, and Carbon Black.

 

Network Traffic Analysis (NTA): Tools for network traffic analysis, such as Zeek (formerly known as Bro) and Wireshark, help detect anomalies in network traffic that may indicate a cybersecurity incident. These tools can identify botnets, data exfiltration attempts, and denial-of-service attacks.

 

Threat Intelligence Platforms: Threat intelligence platforms collect data from external sources to identify and track emerging threats. They provide context to the indicators of compromise and can help identify new attack vectors.

 

User Behavior Analytics (UBA): UBA tools analyze normal user behavior and flag deviations that may indicate malicious intent. These tools rely on machine learning algorithms to detect abnormal actions and prevent insider threats.

 

Each tool has a specific role in the identification phase, and organizations should use a combination of these tools to ensure a comprehensive approach to detecting cybersecurity incidents.