• Definitions of Cyber Security and Information Security
• Common Cyber Security Terminology
• Cyber Security Structure in an Organization
• Role of AI in Modern Cyber Security

• Security Layers and Vulnerabilities
• Network Security Fundamentals
• Mobile Security
• Cloud Computing Security Basics
• Internet of Things (IoT) Security
• AI‑Driven Security Architecture

• Malware Types and Characteristics
• Attacks, Exploits, and Preventive Methods
• Threats and Threat Profiling
• Advanced Persistent Threats (APT)
• Reverse Engineering Basics
• AI‑Powered Threat Detection & Threat Intelligence

• Password Attacks and Defense
• Lab Practice – Password Cracking
• Data Loss Prevention (DLP)
• AI in Identity & Access Management (IAM)
• AI‑Enhanced Insider Threat Detection

• Intrusion Detection System (IDS)
• Intrusion Prevention System (IPS)
• Honeypots and Deception Techniques
• AI‑Based IDS/IPS and False Positive Reduction

• Penetration Testing Methodology
• Lab Practice – Basics of Pen Testing
• AI in Vulnerability Discovery and Reconnaissance
• Risks and Ethics of AI in Offensive Security

• Software Development Life Cycle (SDLC)
• Secure Use of COTS Components
• Change and Release Management
• DevOps and DevSecOps Concepts
• Open Source and Virtual Computing Security
• AI‑Assisted Secure Coding & CI/CD Security

• Robotic Process Automation (RPA)
• Security Automation & SOAR
• AI + RPA in Incident Response and Compliance

• Lab Practice – Packet Capturing & Reconnaissance
• Cyber Security Management Process
• Typical Day in the Life of a Security Analyst
• AI‑Driven SOC Operations (SIEM, UEBA)

• Cyber Law and Legal Frameworks
• Ethics in Cyber Security
• AI Governance and Explainable AI (XAI)
• Privacy, Compliance, and AI Risk Management

After completing this course, learners can: – Understand real‑world cybersecurity workflows – Communicate effectively with SOC, GRC, and technical teams – Identify AI use cases in enterprise security – Prepare for advanced certifications and security roles

• Password cracking techniques
• Basic penetration testing exercises
• Network packet capturing and analysis
• AI‑assisted threat detection demonstrations
• SOC alert prioritization concepts

• Kali Linux
• Wireshark
• Metasploit (Basics)
• SIEM concepts (Splunk / Sentinel – conceptual)
• AI‑based security tools (industry overview)

• SOC Analyst (Level 1)
• Junior Cyber Security Analyst
• IT Security Executive
• GRC / Audit Support Roles
• Cyber Security Intern / Trainee

• CISM
• CISSP
• ISO/IEC 27001
• CEH (Foundation Readiness)

Flexible delivery options: – Short‑term intensive program – Academic semester format – Corporate / weekend batches

• Strong security fundamentals
• AI-enabled, future-ready syllabus
• Beginner-friendly with practical exposure
• Industry-relevant use cases
• Ideal bridge between traditional security and AI-driven security
• Empower your cybersecurity journey with AI-driven knowledge and practical skills