CompTIA Cybersecurity Analyst (CySA+) CS0-004

Hours: 50 / Access Length: 12 Months / Delivery: Online, Self-Paced
Online Hours: 50
Retail Price: $1,364.00

Course Overview:

The CompTIA Cybersecurity Analyst (CySA+) CS0-004 course equips IT professionals with the hands-on skills required to proactively defend and continuously improve an organization's security posture. Learners will master essential security operations, including advanced vulnerability management, proactive threat hunting, and automated incident response methodologies. By emphasizing practical application within modern cloud and on-premises environments, this training prepares students to effectively analyze security telemetry and mitigate emerging cyber risks. Ultimately, participants will be fully prepared to pass the CS0-004 certification exam and excel in mid-level cybersecurity analyst roles.

Students will:

• Explain concepts related to system and network architecture in security operations.
• Understand governance and regulatory compliance.
• Analyze indicators of potential malicious activity.
• Explain threat intelligence and threat-hunting concepts.
• Examine the use of artificial intelligence in security operations.
• Analyze output from vulnerability assessment tools.
• Explain control types, risks, and vulnerability management concepts.
• Implement incident response techniques.
• Explain the importance of reporting and communication in the context of vulnerability management, incident response, and overall security operations.

Lesson 1: Identifying Security Operations Fundamentals

Organizations build a strong cybersecurity program by connecting core principles, governance, and response practices. This module provides an introduction to the basic foundations of cybersecurity, including protecting an organization's information and using policies to align people, processes, and technology to manage risk. Additionally, the module touches on the incident response lifecycle and the way SOC teams rely on clearly defined policies and processes at each stage to reduce damage, restore operations, and continuously improve the organization's security posture.

Lesson 2: Applying Risk Management Strategies

This module introduces prospective cybersecurity analysts to the core concepts of risk management and threat modeling. You will start by learning what risk means in cybersecurity and how to distinguish between inherent and residual risk so you can better prioritize limited resources. Building on that foundation, you will explore threat modeling as a structured method for analyzing systems, data flows, and trust boundaries to identify where attackers are most likely to strike. By applying simple threat modeling techniques and frameworks like STRIDE, analysts can proactively uncover vulnerabilities, map them to risks, and recommend appropriate controls before they lead to incidents.

Lesson 3: Managing System Security and Configurations

Properly managing system security proactively reduces the ways attackers can compromise an organization. Attack surface management focuses on continuously discovering and tracking all exposed assets, then assessing them for vulnerabilities, misconfigurations, and unnecessary exposures. This allows remediation to be prioritized based on risk and business impact. System hardening complements this by securing each asset individually: removing nonessential services and software, enforcing strong authentication and access controls, and applying secure configuration baselines across Windows, Linux, and macOS systems. Analysts also rely on effective patch management to keep systems up to date, closing known vulnerabilities before they can be exploited. By combining continuous visibility into what is exposed with disciplined hardening and patching of those assets, cybersecurity analysts significantly shrink the attack surface and strengthen the organization's overall security posture.

Lesson 4: Comparing System Architectures

Modern IT and cloud-native architectures emphasize flexibility and scalability through virtual machines, containers, and APIs, creating highly dynamic environments. In these environments it's common for trust boundaries to shift rapidly, which means that controls must be both automated and consistently applied. Network architectures layer on identity-centric models like Zero Trust and hybrid cloud security, focusing on continuous verification, encrypted connectivity, and unified monitoring across on-premises, cloud, and remote users. In contrast, industrial control and SCADA/ICS architectures prioritize safety, reliability, and real-time control of physical processes. Cybersecurity analysts must recognize and adapt to the different design priorities in the system architectures across these domains.

Lesson 5: Applying Access Management

This module explains how cybersecurity analysts put access management into practice in order to protect an organization's systems and data. It covers how analysts work with user accounts, roles, and permissions to ensure that people only have the access they need to do their jobs. You will learn how analysts use tools, like directory services and multi-factor authentication, to enforce secure logins and control which resources users can reach. This module also looks at how analysts manage endpoints and protect data through cryptography.

Lesson 6: Threat Intelligence and Threat Hunting

The modern cybersecurity landscape requires organizations to go beyond reactive defense measures to anticipate and outmaneuver evolving threats. Threat intelligence plays a critical role by gathering and analyzing data on threat actors as well as their tactics, techniques, and procedures used to convey their malicious attacks. This intelligence is drawn from diverse sources, including open-source feeds, technical indicators, human insights, and dark web monitoring, enabling defenders to make informed decisions and strengthen their security posture. To aid in the endeavor to protect the cyber landscape, threat hunting is a practice where analysts actively search for hidden threats within networks using hypotheses informed by threat intelligence. It often incorporates deception technologies like honeypots and decoys to lure attackers and study their behavior. Together, these disciplines empower organizations to detect, understand, and mitigate threats before they cause harm.

Lesson 7: Assessing Network Vulnerabilities

Network vulnerability assessment is a critical task because it provides a systematic way to uncover and understand weaknesses before attackers do. By continuously scanning and analyzing networks for misconfigurations, missing patches and other flaws, analysts gain a current, evidence-based view of the organization's attack surface. This visibility allows you to prioritize the most serious issues, ensuring that limited resources are focused on vulnerabilities that could cause real damage to your organization. Regular assessments also help verify that security controls are working as intended and feed into broader threat detection and incident response efforts. In practice, effective vulnerability assessment becomes the foundation for proactive defense, turning raw findings into targeted remediation plans that strengthen the organization's overall security posture.

Lesson 8: Managing Incident Response and Communication

Incident response is the structured process of detecting, analyzing, containing, eradicating, and recovering from security incidents using accurate and timely data. Effective logging is an essential part of incident response because it provides the visibility needed to spot intrusions, investigate root causes, and validate that recovery steps were successful. Cybersecurity analysts must also excel at clear reporting and communication so that stakeholders receive the information they need to make decisions during a crisis. Post-incident activities, such as documenting lessons learned, updating playbooks, and improving controls, help prevent repeat incidents and strengthen detection and response capabilities.

Lesson 9: Executing Incident Response Plans

This module presents a structured understanding of modern attacks and how to respond effectively. Key attack methodology frameworks help you to recognize how adversaries plan, execute, and evolve their campaigns. The end‑to‑end incident response process enables analysts to apply a repeatable, standards-based approach to managing security incidents. You will also explore practical incident response techniques, including evidence collection, log analysis, and containment strategies, walking through a real-world incident at each step.

Lesson 10: Analyzing Malicious Activity

Recognizing signs that a computer or network may have been attacked is an essential skill for cybersecurity analysts. This module explores common tools that enable threat detection and analysis, such as threat intelligence platforms, security information and event management (SIEM) systems, and sandboxing. You will also learn to identify host, network, and application or web-based indicators of compromise, preparing you to recognize and report possible cyber threats.

Lesson 11: Automating Data Analysis

This module introduces the way scripting, automation, and security analytics work together to make cybersecurity analysts more effective and efficient. You will learn how basic scripting with languages like Python, PowerShell, or Bash can automate repetitive SOC tasks, such as parsing logs, querying security tools, or transforming data for analysis. The module covers the use of security analytics and pattern recognition along with regular expressions and UEBA to detect anomalies, correlate events, and identify indicators of compromise at scale. You will also learn how automation and simple orchestration can chain these scripts and tools into repeatable workflows that speed up alert triage and incident response.

Lesson 12: Improving Processes with Automation

For cybersecurity analysts, automation means using tools and predefined workflows to handle repetitive, time consuming tasks so they can focus on deeper investigation and decision‑making. Automated playbooks can collect logs, correlate events, run threat‑intelligence lookups, and even take initial containment steps such as blocking IP addresses or isolating endpoints. In a security operations center, automation also helps normalize data from many sources and route alerts to the right people, reducing response times and minimizing human error. Rather than replacing analysts, automation amplifies their effectiveness by giving them faster, richer information and freeing them to concentrate on complex threats that truly require human judgment.

Lesson 13: Assessing Application Vulnerabilities

For cybersecurity analysts, automation means using tools and predefined workflows to handle repetitive, time consuming tasks so they can focus on deeper investigation and decision‑making. Automated playbooks can collect logs, correlate events, run threat‑intelligence lookups, and even take initial containment steps such as blocking IP addresses or isolating endpoints. In a security operations center, automation also helps normalize data from many sources and route alerts to the right people, reducing response times and minimizing human error. Rather than replacing analysts, automation amplifies their effectiveness by giving them faster, richer information and freeing them to concentrate on complex threats that truly require human judgment.

Lesson 14: Securing Applications

Application security is about understanding how software is built, how it can fail, and which controls can prevent those failures from turning into breaches. Much of an analyst's daily work traces back to coding and design decisions like input validation, authentication, session management, and logging practices. When developers follow secure software development principles and implement strong application controls such as input validation and sanitization, access control, and encryption, analysts face fewer exploitable vulnerabilities and gain clearer telemetry for investigations. Analysts also play a key role in the feedback loop: they report and explain findings from penetration tests and vulnerability scans, collaborate with developers to validate fixes, and help tune security controls to detect and block real-world attack patterns.

All necessary course materials are included.

Certification(s):

This course prepares students to take the CompTIA Cybersecurity Analyst (CySA+) CS0-004 national certification exam.

System Requirements:

Internet Connectivity Requirements:

• Cable, Fiber, DSL, or LEO Satellite (i.e. Starlink) internet with speeds of at least 10mb/sec download and 5mb/sec upload are recommended for the best experience.

NOTE: While cellular hotspots may allow access to our courses, users may experience connectivity issues by trying to access our learning management system.  This is due to the potential high download and upload latency of cellular connections.   Therefore, it is not recommended that students use a cellular hotspot as their primary way of accessing their courses.

Hardware Requirements:

• CPU: 1 GHz or higher
• RAM: 4 GB or higher
• Resolution: 1280 x 720 or higher.  1920x1080 resolution is recommended for the best experience.
• Speakers / Headphones
• Microphone for Webinar or Live Online sessions.

Operating System Requirements:

• Windows 7 or higher.
• Mac OSX 10 or higher.
• Latest Chrome OS
• Latest Linux Distributions
  

NOTE: While we understand that our courses can be viewed on Android and iPhone devices, we do not recommend the use of these devices for our courses. The size of these devices do not provide a good learning environment for students taking online or live online based courses.

Web Browser Requirements:

• Latest Google Chrome is recommended for the best experience.
• Latest Mozilla FireFox
• Latest Microsoft Edge
• Latest Apple Safari

Basic Software Requirements (These are recommendations of software to use):

• Office suite software (Microsoft Office, OpenOffice, or LibreOffice)
• PDF reader program (Adobe Reader, FoxIt)
• Courses may require other software that is described in the above course outline.