CompTIA CySA+® Certification Training

Join our CompTIA CySA+ Certification Training and gain the knowledge and skills to prepare for and pass the Cybersecurity Analyst (CySA+) exam. In this course, you'll learn how to manage threats and vulnerabilities effectively, implement software and systems security solutions, monitor security operations, perform incident response procedures, and execute compliance and assessment measures.  With a focus on hands-on experience, this training requires IT security professionals with at least 3-4 years of experience at the level of CompTIA Network+ or CompTIA Security+. Plus, your course tuition includes a voucher to take the CS0-003 exam at any Pearson VUE Test Center location. Don't miss this opportunity to enhance your expertise and advance your career in IT security. U.S. DoDM 8140.03 APPROVED BY DEPARTMENT OF DEFENSE CompTIA CySA+® Certification Training Benefits In this course, you will learn how to: Prepare for and pass the Cybersecurity Analyst (CySA+) exam. Manage Threats and Vulnerabilities  Secure and Monitor Software and Systems  Perform an Incident Response. Execute Compliance and Assessment. Training Prerequisites IT (Information Technology) Security Professionals must have 3-4 years of hands-on information security or related experience at the level of Network+ or Security+. Certification Information Included in your course tuition is a voucher that enables you to take the CS0-003 exam at any Pearson VUE Test Center location. CompTIA CySA+ Certification Training Outline Module 1: Threat and Vulnerability Management 1.1 Explain the importance of threat data and intelligence. Intelligence sources Open-source intelligence Proprietary/closed-source intelligence Timeliness Relevancy Accuracy Indicator management Structured Threat Information eXpression (STIX) Trusted Automated eXchange of Indicator Information (TAXII) OpenIoC Threat classification Known threat vs. unknown threat Zero-day Advanced persistent threat Threat actors Nation-state Hacktivist Organized crime Insider threat Intentional Unintentional Intelligence cycle Requirements Collection Analysis Dissemination Feedback Commodity malware Information sharing and analysis communities Healthcare Financial Aviation Government Critical infrastructure 1.2 Given a scenario, utilize threat intelligence to support organizational security. Attack frameworks MITRE ATT&CK The Diamond Model of Intrusion Analysis Kill chain Threat research Reputational Behavioral Indicator of compromise (IoC) Standard vulnerability scoring system (CVSS) Threat modeling methodologies Adversary capability Total attack surface Attack vector Impact Likelihood Threat intelligence sharing with supported functions Incident response Vulnerability management Risk management Security engineering Detection and monitoring 1.3 Given a scenario, perform vulnerability management activities. Vulnerability identification Asset criticality Active vs. passive scanning Mapping/enumeration Validation True positive False positive - True negative False-negative Remediation/mitigation Configuration baseline Patching Hardening Compensating controls Risk acceptance Verification of mitigation Scanning parameters and criteria Risks associated with scanning activities Vulnerability feed Scope Credentialed vs. non-credentialed Server-based vs. agent-based Internal vs. external Special considerations Types of data Technical constraints Workflow Sensitivity levels Regulatory requirements Segmentation Intrusion prevention system (IPS), intrusion detection system (IDS), and firewall settings Inhibitors to remediation Memorandum of understanding (MOU) Service-level agreement (SLA) Organizational governance Business process interruption Degrading functionality Legacy systems 1.4 Given a scenario, analyze the output from standard vulnerability assessment tools. Web application scanner OWASP Zed Attack Proxy (ZAP) Burp suite Nikto Arachni Infrastructure vulnerability scanner Nessus OpenVAS Qualys Software assessment tools and techniques Static analysis Dynamic analysis Reverse engineering Fuzzing Enumeration Nmap hoping Active vs. passive Responder Wireless assessment tools Aircrack-ng Reaver oclHashcat Cloud Infrastructure assessment tools ScoutSuite Prowler Pacu 1.5 Explain the threats and vulnerabilities associated with specialized technology. Mobile Internet of Things (IoT) Embedded Real-time operating system (RTOS) System-on-Chip (SoC) Field programmable gate array (FPGA) Physical access control Building automation systems Vehicles and drones CAN bus Workflow and process automation systems Industrial control system Supervisory control and data acquisition (SCADA) Modbus 1.6 Explain the threats and vulnerabilities associated with operating in the cloud. Cloud service models Software as a Service (SaaS) Platform as a Service (PaaS) Infrastructure as a Service (IaaS) Cloud deployment models Public Private Community Hybrid Function as a Service (FaaS)/ serverless architecture Infrastructure as code (IaC) Insecure application programming interface (API) Improper key management Unprotected storage Logging and monitoring Insufficient logging and monitoring Inability to access 1.7 Given a scenario, implement controls to mitigate attacks and software vulnerabilities. Attack types Extensible markup language (XML) attack Structured query language (SQL) injection Overflow attack Buffer Integer Heap Remote code execution Directory traversal Privilege escalation Password spraying Credential stuffing Impersonation Man-in-the-middle attack Session hijacking Rootkit Cross-site scripting Reflected Persistent Document object model (DOM) Vulnerabilities Improper error handling Dereferencing Insecure object reference Race condition Broken authentication Sensitive data exposure Insecure components - Insufficient logging and monitoring - Weak or default configurations - Use of insecure functions - strcpy 2.0 Software and Systems Security 2.1 Given a scenario, apply security solutions for infrastructure management. Cloud vs. on-premises Asset management Asset tagging Segmentation Physical Virtual Jumpbox System isolation Air gap Network architecture Physical Software-define Virtual private cloud (VPC) Virtual private network (VPN) Serverless Change management Virtualization Virtual desktop infrastructure (VDI) Containerization Identity and access management Privilege management Multifactor authentication (MFA) Single sign-on (SSO) Federation Role-based Attribute-based Mandatory Manual review Cloud access security broker (CASB) Honeypot Monitoring and logging Encryption Certificate management Active defense 2.2 Explain software assurance best practices. Platforms Mobile Web application Client/server Embedded System-on-chip (SoC) Firmware Software development life cycle (SDLC) integration DevSecOps Software assessment methods User acceptance testing Stress test application Security regression testing Code review Secure coding best practices Input validation Output encoding Session management Authentication Data protection Parameterized queries Static analysis tools Dynamic analysis tools Formal methods for verification of critical software Service-oriented architecture Security Assertions Markup Language (SAML) Simple Object Access Protocol (SOAP) Representational State Transfer (REST) Microservices 2.3 Explain hardware assurance best practices. Hardware root of trust Trusted platform module (TPM) Hardware security module (HSM) eFuse Unified Extensible Firmware Interface (UEFI) Trusted foundry Secure processing Trusted execution Secure enclave Processor security extensions Atomic execution Anti-tamper Self-encrypting drive Trusted firmware updates Measured boot and attestation Bus encryption 3.0 Security Operations and Monitoring 3.1 Given a scenario, analyze data as part of security monitoring activities. Heuristics Trend analysis Endpoint Malware Reverse engineering Memory System and application behavior Known-good behavior Anomalous behavior Exploit techniques File system User and entity behavior analytics (UEBA) Network Uniform Resource Locator (URL) and domain name system (DNS) analysis Domain generation algorithm Flow analysis Packet and protocol analysis Malware Log review Event logs Syslog Firewall logs Web application firewall (WAF) Proxy Intrusion detection system (IDS)/ Intrusion prevention system (IPS) Impact analysis Organizational impact vs. localized impact Immediate vs. total Security information and event management (SIEM) review Rule writing Known-bad Internet protocol (IP) Dashboard Query writing String search Script Piping E-mail analysis Malicious payload Domain Keys Identified Mail (DKIM) Domain-based Message Authentication, Reporting, and Conformance (DMARC) Sender Policy Framework (SPF) Phishing Forwarding Digital signature E-mail signature block Embedded links Impersonation Header 3.2 Given a scenario, implement configuration changes to existing controls to improve security. Permissions Safelisting Denylisting Firewall Intrusion prevention system (IPS) rules Data loss prevention (DLP) Endpoint detection and response (EDR) Network access control (NAC) Sinkholing Malware signatures Development/rule writing Sandboxing Port security 3.3 Explain the importance of proactive threat hunting Establishing a hypothesis Profiling threat actors and activities Threat hunting tactics Executable process analysis Reducing the attack surface area Bundling critical assets Attack vectors Integrated intelligence Improving detection capabilities 3.4 Compare and contrast automation concepts and technologies. Workflow orchestration Security Orchestration, Automation, and Response (SOAR) Scripting Application programming interface (API) integration Automated malware signature creation Data Enrichment Threat feed combination Machine learning Use of automation protocols and standards Security Content Automation Protocol (SCAP) Continuous integration Continuous deployment/delivery 4.0 Incident Response 4.1 Explain the importance of the incident response process. Communication plan Limiting communication to trusted parties Disclosing based on regulatory/ legislative requirements Preventing inadvertent release of information Using a secure method of communication Reporting requirements Response coordination with relevant entities Legal Human resources Public relations Internal and external Law enforcement Senior leadership Regulatory bodies Factors contributing to data criticality Personally identifiable information (PII) Personal health information (PHI) Sensitive personal information (SPI) High-value asset Financial information Intellectual property Corporate information 4.2 Given a scenario, apply the appropriate incident response procedure. Preparation Training Testing Documentation of procedures Detection and analysis Characteristics contributing to severity level classification Downtime Recovery time Data integrity Economic System process criticality Reverse engineering Data correlation Containment Segmentation Isolation Eradication and Recovery Vulnerability mitigation Sanitization Reconstruction/reimaging Secure disposal Patching Restoration of permissions Reconstitution of resources Restoration of capabilities and services Verification of logging/ communication to security monitoring Post-incident activities Evidence retention Lessons learned report Change control process Incident response plan update Incident summary report IoC generation Monitoring 4.3 Given an incident, analyze potential indicators of compromise. Network-related Bandwidth consumption Beaconing Irregular peer-to-peer communication The rogue device on the network Scan/sweep Unusual traffic spike Common protocol over a non-standard port Host-related Processor consumption Memory consumption Drive capacity consumption Unauthorized software Malicious process Unauthorized change Unauthorized privilege Data exfiltration Abnormal OS process behavior File system change or anomaly Registry change or anomaly Unauthorized scheduled task Application-related Anomalous activity Introduction of new accounts Unexpected output Unexpected outbound communication Service interruption Application log 4.4 Given a scenario, utilize basic digital forensics techniques. Network Wireshark tcpdump Endpoint Disk Memory Mobile Cloud Virtualization Legal hold Procedures Hashing Changes to binaries Carving Data acquisition 5.0 Compliance and Assessment 5.1 Understand the importance of data privacy and protection. Privacy vs. security Non-technical controls Classification Ownership Retention Data types Retention standards Confidentiality Legal Requirements Data sovereignty Data minimization Purpose limitation A non-disclosure agreement (NDA) Technical controls Encryption Data loss prevention (DLP) Data masking Deidentification Tokenization Digital rights management (DRM)? Watermarking Geographic access requirements Access controls 5.2 Given a scenario, apply security concepts to support organizational risk mitigation. Business impact analysis Risk identification process Risk calculation Probability Magnitude Communication of risk factors Risk prioritization Security controls - Engineering tradeoffs Systems assessment Documented compensating controls Training and exercises Red team Blue team White team Tabletop exercise Supply chain assessment Vendor due diligence Hardware source authenticity 5.3 Explain the importance of frameworks, policies, procedures, and controls. Frameworks Risk-based Prescriptive Policies and procedures Code of conduct/ethics Acceptable use policy (AUP) Password policy Data Ownership Data retention Account management Continuous monitoring Work product retention Category Managerial Operational Technical Control type Preventative Detective Corrective Deterrent Compensating Physical Audits and assessments Regulatory Compliance