Certified Security Operations and Incident Specialist (CSOIS)

Certified Security Operations and Incident Specialist (CSOIS)

Certified Security Operations & Incident Specialist | SOC Analyst Course | Security Operations Certification Training

Master Security Operations Center & Incident Response

Why Join Certified Security Operations & Incident Specialist (CSOIS) ?

Industry-Relevant Skills

Stay competitive with up-to-date cybersecurity expertise.

Hands-On Learning

Gain practical experience with tools like Splunk, Nessus, and FTK Imager.

Expert Training

Learn from seasoned professionals with real-world insights.

High Demand

Cybersecurity professionals are in urgent demand, boosting career prospects.

Comprehensive Curriculum

Covers incident response, SIEM, forensics, and vulnerability management.

Real-World Simulations

Train with case studies and security breach scenarios.

Cyber Forensics Specialization

Develop expertise in rootkit detection and digital investigations.

Certification

Earn a globally recognized credential for career growth.

Growing Industry

Cybersecurity offers long-term stability and career advancement.

Cutting-Edge Tools

Work with advanced security platforms used by top organizations.

SOC Operations Mastery

Learn tools and processes to manage Security Operations Centers.

MITRE ATTACK & Threat Intelligence

Learn advanced techniques to detect and reduce security hazards.

Upcoming Batch:-
14th Sept 2025

Certified Security Operations & Incident Specialist (CSOIS) Overview

The Certified Security Operations and Incident Handling Specialist (CSOIS) program provides intensive knowledge and expertise on cyber safety operations, events and forensic examinations. Participants will learn the incident, firewall configuration, infiltration detection and patch management. The program includes SOC architecture, IOCs, IOAs, TTPs using the MITRE ATT&CK, and experience on hands with SIEM tools such as splunk. Students will gain proficiency in strict, vulnerable scanning and cyber forensic, including students memory and disc analysis. Through the study of the real -world case and practical laboratories, this program equips professionals with the skills required for SOC operations, event reaction and digital forensic roles in cyber security.

 

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60%!

Batch Schedule

Batch Batch Type
Online Live Instructor Led Session Full-Time
Online Live Instructor Led Session Part-Time

Regional Timings

Region Time
IST (India Standard Time) 09:00 PM – 12:00 AM
Bahrain, Qatar, Kuwait, Saudi Arabia 06:30 PM – 09:30 PM
UAE / Oman 07:30 PM – 09:00 PM

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Certified Security Operations & Incident Specialist (CSOIS) Objectives

Why Learn Certified Security Operations & Incident Specialist (CSOIS) ?

In today’s rapidly evolving cybersecurity landscape, organizations face an increasing number of cyber threats, making security operations and incident handling critical skills for professionals. This course provides hands-on expertise in detecting, analyzing, and mitigating security incidents while strengthening an organization’s defense mechanisms. By learning this course, participants will gain practical knowledge of firewalls, intrusion detection and prevention systems, network security, and security incident response processes.
With a strong focus on Security Operations Centers (SOC), SIEM tools like Splunk, and real-world security analytics, this course prepares individuals for high-demand roles in cybersecurity. Additionally, the inclusion of cyber forensics, rootkit detection, and system hardening ensures a comprehensive understanding of post incident investigation and proactive security measures. Whether you are an aspiring security analyst, SOC professional, or cybersecurity specialist, this course provides the essential skills needed to secure networks, investigate cyber incidents, and enhance overall security resilience.

Growing Demand for Cybersecurity Experts:

The rise in cyber threats has made SOC professionals critical for protecting organizational assets.

Real-World Relevance:

The program includes hands-on training with tools like Splunk and Nessus, which are widely used in the industry.

Comprehensive Skill Set:

Gain expertise in threat detection, incident response, system hardening, and forensic analysis.

Career Opportunities:

Completion of this course opens doors to roles like SOC Analyst, Cybersecurity Specialist, and Incident Responder.

Practical Experience:

The program focuses on practical applications, including analyzing real-world security breaches and conducting forensic investigations.

Program Advantages

Certified Security Operations & Incident Specialist (CSOIS) Certification

Certified Security Operations & Incident Specialist (CSOIS) Learning Path/Curriculum

Day 1: What is Hacking ? , Computer Security Threats, Goals of Ethical Hacking, Skills and Tools required for Ethical Hackers, Process of Ethical Hacking, Process of Ethical Hacking - Demonstration Part 1,Process of Ethical Hacking - Demonstration Part 2
Day 2: Information Gathering Concepts, Foot printing, Reconnaissance, Active Passive Scanning
Day 3: CIA (Confidentiality, Integrity & Availability) Threat, Vulnerabilities, Threat Actor, Risk etc definitions & concept. Advanced Cyber Security - Threats and Governance, What are Threats?, Types of threats (spoofing, tampering, repudiation, information breach, DOS, elevation of privilege),GitHub DDos Attack,
Day 4: Types of attack(DOS, Phishing, Ransomware)
Day 5: Introduction and importance to information security, elements of information security (purpose, audience and scope, security objective-CIA, Authority and access control, data classification (level 1-5), support and operation, security awareness, responsibilities rights and duty. Principle of Information security (Confidentiality, Integrity, Availability),
Day 6: Introduction to data security, types of data security (Encryption, Data Erasure, Data Masking, Data Resiliency), data security strategy (Physical security of servers and user devices, Access management and controls, Backups).
Day 7: Introduction to SOC and its Importance: Overview of SOC, Types of SOCs (In-House, Managed, Virtual), SOC Architecture (SIEM, EDR, Threat Intelligence Tools), Key Roles in SOC (Analyst, Manager, Engineer), SOC’s Role in Cyber Defense
Day 8: Indicators of Compromise (IOCs) and Indicators of Attack (IOAs): Differences Between IOCs and IOAs, Identifying IOCs (File Hashes, IPs, Domains, Logs), Understanding IOAs (Attack Patterns, Suspicious Behaviors), Real-World Examples
Day 9: Tactics, Techniques, and Procedures (TTPs): Introduction to TTPs, Frameworks (MITRE ATT&CK), Correlating TTPs with IOCs and IOAs, Case Study: Mapping an Attack Lifecycle Using TTPs, Practical Exercise with Sample Data
Day 10: Incidents, types of Incidents, Impact of incidents, Information (alert,logs, network flow), Phases of incident handling, incident response life cycle
Day 11: Firewall, why firewall, DMZ, troubleshooting Cisco IOS Firewall, troubleshooting routers, , anti virus and anti spam ware, incident response process (identification, recording, response, communication, containment, classification, investigation),
Day 12: Unauthorized Access Incidents, Traffic filtering( NAT-Network Address Translation, VPN- Virtual Private Network
Day 13: IDP-Intrusion Detection & Prevention, CISCO IOS Firewall IDS Configuration Initializing Cisco IOS Firewall IDS , Initializing the Post Office, Configuring and Applying Audit Rules, Verifying the Configuration),
Day 14: IPS configuration, IPS Tuning, SNMP Configuration, Configuration of MoD Security
Day 15: Patch Management (windows Server Update Services)
Day 16: Introduction to SIEM and Splunk: Understanding SIEM, Key Components, Benefits, Overview of Splunk Architecture, Setting up Splunk Environment (Installation and Configuration)
Day 17: Data Onboarding: Collecting logs from different sources (Web Server, Application Logs, System Logs), Parsing and Indexing, Exploring Splunk's Data Inputs and Forwarders
Day 18: Splunk Search and Analysis: Writing SPL Queries, Using Search, Stats, and Visualization Tools, Identifying Anomalies and Patterns in Logs, Hands-on Analysis of Security Logs
Day 19: Real-world Use Cases: Security Incident Detection (Failed Login Attempts, Brute Force), Dashboard Creation, Alerts and Reporting, Capstone Activity: Analyzing a Security Breach Scenario Using Splunk
Day 20: Configuration Audit and System Hardening: Introduction to Secure Configurations, Using Nessus for Vulnerability and Configuration Scans, Hands-on Hardening with HardeningKitty
Day 21: Introduction to Incident Response and Cyber Forensics: Incident Response Lifecycle, Key Components of Incident Response, Role of Cyber Forensics in IR, Overview of Tools (Cyber Triage, Autopsy, FTK Imager, Rkhunter)
Day 22: Memory and Disk Forensics: Capturing Memory Dumps, Imaging Disks with FTK Imager, Basics of Artifact Analysis, Introduction to Autopsy for Disk Analysis
Day 23: Rootkit Detection and Analysis: Using Rkhunter for Rootkit Detection, Investigating Suspicious Activity on Linux Systems, Hands-on with Cyber Triage for Live System Analysis
Day 24: Case Study and Hands-On Exercise: Investigating a Simulated Cyber Breach, End-to-End Incident Response Workflow, Evidence Collection, Analyzing Logs and Forensic Artifacts, Reporting Findings

Certified Security Operations & Incident Specialist (CSOIS) Skills Covered

Certified Security Operations & Incident Specialist (CSOIS) Tools Covered

Certified Security Operations & Incident Specialist (CSOIS) Program Benefits

Incident Response Mastery

Learn structured response and mitigation
techniques.

Hands-On Training

 Work with tools like Splunk, Cisco IOS, and FTK Imager.

Threat Detection

Identify IOCs and IOAs to counter cyber threats.

SOC Management

Understand SOC roles, architecture, and operations.

SIEM Expertise

Master Splunk and real-time security analysis.

Malware & Rootkit Detection

Detect and mitigate hidden threats.

Cyber Forensics

Investigate incidents and preserve digital evidence.

Vulnerability Management

Use Nessus for scanning and risk mitigation.

Real-World Simulations

Apply knowledge in breach scenarios.

Certification & Career Growth

Earn credentials for advanced security roles.

System Hardening

Secure systems with best practices.

Career Readiness

Prepare for roles like SOC Analyst & Incident Responder.

Career Opportunities after this course

Projects that you will Work On

Practice Essential Tools

Designed By Industry Experts

Get Real-world Experience

1. Wi-Fi Network Penetration Testing

Objective: Assess the security of Wi-Fi networks by identifying and exploiting potential vulnerabilities.

Tools: Aircrack-ng, Wireshark, Kali Linux

Learning Outcomes: Understand wireless encryption protocols, perform packet sniffing, and secure wireless networks.

Resource: GUVI Blog on Ethical Hacking Projects

2. SQL Injection Testing

Objective: Detect and exploit SQL injection vulnerabilities in web applications.

Tools: SQLmap, Burp Suite, OWASP Juice Shop

Learning Outcomes: Learn SQL injection techniques and implement best practices to secure apps.

Resource: GUVI Blog on Ethical Hacking Projects

3. Creating a Keylogger

Objective: Develop a keylogger to understand malicious software operation.

Tools: Python, Pynput library

Learning Outcomes: Build malware for educational purposes and learn detection techniques.

Resource: GUVI Blog on Ethical Hacking Projects

4. Network Sniffing with Wireshark

Objective: Capture and analyze network traffic for vulnerabilities.

Tools: Wireshark

Learning Outcomes: Learn protocol analysis and identify suspicious activities.

Resource: GUVI Blog on Ethical Hacking Projects

5. Penetration Testing on a Virtual Machine

Objective: Simulate attacks in a virtual environment.

Tools: Kali Linux, Metasploit, VirtualBox/VMware

Learning Outcomes: Hands-on experience with testing tools and documenting findings.

Resource: GUVI Blog on Ethical Hacking Projects

6. Creating a Simple Firewall

Objective: Develop a basic firewall to control network traffic.

Tools: Python, Scapy library

Learning Outcomes: Filter network traffic and prevent common attacks.

Resource: GUVI Blog on Ethical Hacking Projects

7. Social Engineering Simulation

Objective: Simulate social engineering attacks and develop user education strategies.

Tools: Social-Engineer Toolkit (SET)

Learning Outcomes: Craft phishing scenarios and understand human vulnerabilities.

Resource: GUVI Blog on Ethical Hacking Projects

8. IoT Security Analysis

Objective: Secure IoT devices by identifying vulnerabilities.

Tools: Shodan, Wireshark, Firmware tools

Learning Outcomes: Secure firmware and understand IoT attack surfaces.

Resource: GUVI Blog on Ethical Hacking Projects

9. Intrusion Detection System (IDS)

Objective: Monitor traffic and logs to detect cyber threats.

Tools: Snort, Suricata, Security Onion

Learning Outcomes: Network log analysis and real-time threat detection.

Resource: Internshala Trainings Blog

10. Blockchain Security

Objective: Develop secure blockchain apps and smart contracts.

Tools: Ethereum, Solidity, OpenZeppelin

Learning Outcomes: Secure DApps and implement safe consensus mechanisms.

Resource: Internshala Trainings Blog

Salary Expectation after completion of the course

Job Obligation after this course

Companies Hiring for this course

Program Advisors

IITs

IIMs

NITs

IITs

Pre-requisites

Eligibility Criteria

Batch Professional Profiles

Data Analyst

Statistician

Machine Learning Engineer

Deep Learning Engineer

Data Scientist

Python Developer

Program Advisors

IITs

IIMs

NITs

Experts from the IT Industries.

Admission Details

The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.

Course Fees & Financing

Course Fees

IN USD
$700
IN INR
₹59,000
(Inclusive Of All Taxes)
Enroll Now

Payment Partners

We partnered with financing companies to provide competitive finance options at 0% interest rate with no hidden costs.

Upcoming Batches/Program Cohorts

Batch Date Time Batch Type
Online Live Instructor Led Session 14th September 2025 9:00 PM - 12:00 AM Batch 1
Online Live Instructor Led Session 28th September 2025 9:00 PM - 12:00 AM Batch 2

Comparison with Others

Feature Certified Security Operations & Incident Specialist (CSOIS) Other Security Courses
Comprehensive Curriculum Covers Security Operations, Incident Handling, SIEM, Forensics, and more Often focuses on only one or two aspects of security
Real-World Tools & Practical Hands-on training with tools like Splunk, Nessus, Rkhunter, FTK Imager Limited or no hands-on exposure to real-world tools
Incident Response Lifecycle In-depth coverage of the full incident response lifecycle from detection to recovery Basic coverage, lacks detailed incident handling stages
Cyber Forensics Includes digital forensics, rootkit detection, and evidence handling Minimal to no focus on forensics
SIEM Implementation Full implementation and analysis using Splunk Often lacks practical SIEM setup and analysis
Expert Trainers Led by industry experts with years of practical experience Trainers may have limited industry experience
Post-Course Support Ongoing support and mentorship for career development Limited or no post-course support
Industry Recognition Recognized by top cybersecurity organizations and employers May lack industry certification or recognition
Tailored for Career Growth Focused on career progression with skills that directly align with current job market needs Generic content that may not align with specific career goals
Interactive Learning Interactive lessons with real-life scenarios, case studies, and practical exercises Passive learning, often relying on lectures or theory

Self Assessments

Certified Security Operations and Incident Handling Specialist (CSOIS) Training Faqs

A specialized curriculum that gives professionals additional abilities in data analysis, generative AI model creation, and data visualization is the additional Certification in Data Science and Generative AI with Visualization Tools. Statistical analysis, machine learning, deep learning (including GANs and NLP), and technologies like as Tableau and Power BI are all covered in the curriculum.
Python programming, R programming, statistical analysis, machine learning, deep learning, computer vision techniques, natural language processing, reinforcement learning, SQL querying, data visualization (Tableau, Power BI), Java programming, Hadoop ecosystem tools, Spark data processing and analytics, NoSQL database managementNatural Language Processing (NLP), Transformer architectures Language Modeling, Generative Pre-trained Transformers (GPT) Image Generation, Large-scale image synthesis Generative Adversarial Networks (GANs), Retrieval-Augmented Generation (RAG)
Yes Online cources are available.
60+ Projects are covered during this cources.
duration of each lecture is 3 houre.
yes Available in online mode.
Algorithms that can produce new data that is comparable to the data they were trained on are referred to as generative AI. This comprises models that can produce realistic text, music, graphics, and other types of data, such as GANs and transformers.
50+ Projects are done during the course on the topics machine learning, Natural language processing data analysis and generative ai.
duration of each lecture of 3 houre.
For learn Master advanced data science and AI techniques, enhance data visualization skills
No work experience is required basic knowledge of data science is required.
Introduction to Data Science- 03 Hrs, Python /R Programming-30 hrs, Statistics-15 hrs, Machine Learning-15 Hrs, Deep Learning-15 Hrs, Computer Vision-12 Hrs, Natural Language Processing-12 Hrs, Reinforcement Learning -06 Hrs, SQL,-12 Hrs Tableau-12 Hrs, Power BI- 18 Hrs, Java-06 Hrs, Hadoop-24 Hrs, Spark-15 Hrs, NoSql & Mongo DB-5 Hrs, Generative AI-40 Hrs
There are career opportunity after the course completed: AI Specialist, Data Scientist, Machine Learning Engineer.
Entry-level: 8-15 lakhs per annum
Mid-level: 15-30 lakhs per annum
Senior-level: 30+ lakhs per annum
A degree in Engineering, Mathematics, Science, or any equivalent field is ideal for pursuing a career in Artificial Intelligence and Data Science.
INR Fees(Exclusive of GST) : INR 289,999.00
INR Fee(Inclusive of GST) : INR 342,199.00
USD Fee: 3475(subject to be change)

Short Points about the Program

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