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AI for Cyber Security Professionals

πŸ”Ή Duration: 50 Hours (Hands-on Labs, Workshops, Risk Assessments, and Threat Simulations)
πŸ”Ή Level: Beginner to Advanced
πŸ”Ή Focus: Securing IoT Devices, Threat Modeling, Risk Management, Compliance, and IoT-Specific Incident Response
πŸ”Ή Tools Covered: Shodan, Nmap, Wireshark, MQTT, Python etc.

πŸ”₯ Key Takeaways

βœ… Understand IoT Threats, Risk Management & Security Frameworks
βœ… Perform IoT Penetration Testing & Vulnerability Assessments
βœ… Monitor & Detect IoT Attacks Using SIEM & Threat Intelligence
βœ… Implement IoT Security Best Practices & Regulatory Compliance
βœ… Gain Hands-On Experience with IoT Forensics, AI-Powered Threat Detection & Zero Trust

πŸ“Œ Table of Contents:
πŸ›‘οΈ Module 1: Introduction to IoT Security & Risk Landscape (6 Hours)
πŸ”Ή Overview of IoT Ecosystem & Security Challenges
πŸ”Ή Common Attack Vectors on IoT Devices
πŸ”Ή Understanding IoT Risk Assessment & Threat Modeling (STRIDE, DREAD)
πŸ”Ή Hands-on Lab: Identifying IoT Vulnerabilities Using Shodan & Nmap

πŸ€– Module 2:  IoT Network & Protocol Security (8 Hours)
πŸ”Ή IoT Communication Protocols: MQTT, CoAP, Zigbee, BLE, LoRaWAN
πŸ”Ή Securing IoT Communications (TLS, DTLS, VPNs, IPSec, Zero Trust)
πŸ”Ή Man-in-the-Middle (MITM) & Packet Sniffing Attacks on IoT Devices
πŸ”Ή Hands-on Lab: Sniffing & Securing MQTT and Zigbee Traffic

πŸ“Š Module 3:  IoT Device & Firmware Security (8 Hours)
πŸ”Ή Firmware Security: Reverse Engineering, Static & Dynamic Analysis
πŸ”Ή Secure Boot & Trusted Execution Environments (ARM TrustZone, TPM)
πŸ”Ή JTAG, UART, SPI Debugging for IoT Penetration Testing
πŸ”Ή Hands-on Lab: Extracting & Analyzing IoT Firmware for Security Weaknesses

πŸ“œ Module 4:  IoT Threat Detection & Incident Response (7 Hours)
πŸ”Ή Monitoring IoT Logs & Anomaly Detection Using SIEM (Splunk, Chronicle, Zeek)
πŸ”Ή IoT Threat Intelligence & Attack Attribution
πŸ”Ή Forensic Investigation of IoT-Based Attacks
πŸ”Ή Hands-on Lab: Detecting Malicious IoT Traffic & Investigating IoT Incidents

πŸ€– Module 5:  IoT Penetration Testing & Ethical Hacking (8 Hours)
πŸ”Ή IoT Device Enumeration & Exploitation Techniques
πŸ”Ή Bypassing Authentication & Gaining Root Access to IoT Devices
πŸ”Ή Exploiting Weak Encryption & Default Credentials
πŸ”Ή Hands-on Lab: Conducting an IoT Penetration Test on a Smart Home Device

βš–οΈ Module 6:  IoT Security Frameworks, Regulations & Compliance (7 Hours)
πŸ”Ή NIST IoT Cybersecurity Framework & ENISA IoT Guidelines
πŸ”Ή ISO/IEC 27041 & IEC 62443 for Industrial IoT Security
πŸ”Ή GDPR, CCPA & IoT Data Privacy Considerations
πŸ”Ή Hands-on Lab: Implementing IoT Security Best Practices in Compliance Audits
πŸ”Ή IoT Risk Assessment Strategies & Asset Protection
πŸ”Ή Zero Trust Architecture for IoT (ZTA for Edge, Cloud & Enterprise IoT)
πŸ”Ή Implementing Secure IoT Design & Secure SDLC for IoT Applications
πŸ”Ή Hands-on Lab: Implementing Zero Trust Controls on IoT Devices

πŸš€ Module 7: AI in Offensive Security & Adversarial Attacks (7 Hours)
πŸ”Ή How Attackers Use AI for Phishing, Deepfakes, and Social Engineering
πŸ”Ή AI-Generated Malware & Evasion Techniques
πŸ”Ή Defensive Strategies Against AI-Powered Threats
πŸ”Ή Hands-on Lab: Simulating AI-Generated Attacks & Mitigation Strategies
πŸ”Ή Automating Security Investigations with LLMs
πŸ”Ή Integrating Generative AI with SIEM & Threat Intelligence Platforms
πŸ”Ή Using ChatGPT, Gemini, and Claude for Threat Intelligence & Report Writing
πŸ”Ή Automating Security Investigations with LLMs
πŸ”Ή Integrating Generative AI with SIEM & Threat Intelligence Platforms
πŸ”Ή Hands-on Lab: Automating Threat Intelligence Analysis Using Generative AI

πŸ› οΈ Module 8: IoT Risk Management & Zero Trust Security (14 Hours)
πŸ”Ή IoT Risk Assessment Strategies & Asset Protection
πŸ”Ή Zero Trust Architecture for IoT (ZTA for Edge, Cloud & Enterprise IoT)
πŸ”Ή Implementing Secure IoT Design & Secure SDLC for IoT Applications
πŸ”Ή Hands-on Lab: Implementing Zero Trust Controls on IoT Devices
πŸ”Ή Simulated IoT Cyberattack & Incident Response Challenge
πŸ”Ή Defending Against IoT-Based Botnets (Mirai, Mozi, Reaper)
πŸ”Ή Final Practical Assessment & Certification
πŸ”Ή Career Guidance for IoT Security Professionals

πŸ“Œ Who Can Join?
🎯 Cybersecurity Professionals – Looking to specialize in IoT security & risk management
🎯 SOC Analysts & Threat Hunters – Detect & analyze IoT-based threats
🎯 Penetration Testers & Red Teamers – Learn IoT hacking techniques & secure deployments
🎯 Network Security Engineers – Secure industrial & enterprise IoT environments
🎯 Compliance & Risk Management Professionals – Learn IoT security governance & regulatory requirements

πŸ“Œ Prerequisites:

πŸ’» Technical Knowledge:
βœ… Basic knowledge of Networking & Operating Systems (Windows/Linux).
βœ… Familiarity with SOC workflows (log analysis, alert triage, incident response).
βœ… Basic understanding of cybersecurity threats & attack techniques.
βœ… No prior experience with Splunk is required, but basic scripting skills (Python, PowerShell) are helpful

πŸ’»Hardware Requirements:
βœ… Processor: Minimum Intel i5 / Ryzen 5 (Recommended i7 / Ryzen 7 or higher).
βœ… RAM: Minimum 8GB (Recommended 16GB+ for better virtualization).
βœ… Storage: At least 100GB free space (Recommended SSD for faster performance).

🌐 Internet & Network Requirements:
βœ… Stable Internet Connection: Minimum 10 Mbps (Recommended 25 Mbps+).
βœ… Virtualization Support: Must support. VMware / VirtualBox / Hyper-V.
βœ… Firewall Permissions: Ability to download install security & forensic tools.

πŸ› οΈ Software & Tools Required:
βœ… Operating System (At-least one of these): Windows 10/11 (Preferred), Linux, (Kali/Ubuntu), or macOS.
βœ… Must Support Virtualization Software: VMware Workstation / VirtualBox.