• History, terminology & career tracks in cybersecurity
• Types of attacks: phishing, malware, ransomware, social engineering
• Cyber kill chain & MITRE ATT&CK framework
• Introduction to adversarial AI and attack simulation using LLMs
• Hands-on Project: Build your own threat map using open-source data

• Kali Linux, Metasploit, Nmap, Burp Suite
• Scanning networks, enumerating systems, and finding open ports
• Vulnerability scanning tools: Nessus, OpenVAS
• OWASP Top 10 threats
• Using AI for automated vulnerability classification and risk scoring
• Hands-on Project: Recon and vulnerability report on a simulated organization

• Firewalls, IDS/IPS, VPNs, and honeypots
• Detecting and responding to intrusions
• Log analysis and SIEM (Security Information and Event Management)
• Building an AI-assisted SOC (Security Operations Center) simulator
• Hands-on Project: Configure Snort, use Splunk + AI alerts

• Threat modeling & secure software design
• Code vulnerabilities (SQLi, XSS, CSRF, etc.)
• Static & dynamic code analysis tools
• Using AI to scan and refactor insecure code (GitHub Copilot, DeepCode)
• Hands-on Project: Audit and secure a buggy web application

• Introduction to machine learning in cybersecurity
• Anomaly detection with AI (unsupervised learning)
• AI in phishing, spoofing, and spam detection
• Generative AI for penetration testing automation
• Agentic AI: Creating autonomous agents for continuous network monitoring
• Hands-On Project: Train an AI model to detect unusual traffic patterns

• Indian Cyber Law, IT Act, GDPR, HIPAA
• Risk frameworks: NIST, ISO 27001
• Chain of custody, evidence handling
• Forensic tools: Autopsy, FTK Imager, Wireshark
• AI for evidence triage and pattern recognition in large datasets
• Capstone Project

An open forum session to address participant queries and facilitate discussion on topics covered throughout the training program. This session will be led by PwC experts and is intended to reinforce learning and clarify concepts as part of the curriculum.