AI Weaponization in Cybersecurity ā Offensive & Defensive Strategies
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Course Overview
Workshop Registration End Date :2025-04-28
Program Syllabus
Module 1
About
This 4-days intensive training explores how AI is transforming both the offensive and defensive sides of cybersecurity. It delves into cutting-edge areas like AI-generated phishing, self-learning malware, and AI-powered detection systems. The course includes hands-on labs with tools like Python, TensorFlow, and Jupyter Notebooks, where participants will simulate AI-enhanced attacks and defenses in virtualized environments.
Module 2
Workshop Objectives
- Understand how AI is weaponized in cyber warfare.
- Learn the mechanics of offensive AI techniques like deepfake phishing, autonomous malware, and adversarial ML.
- Gain hands-on experience in simulating AI-driven attacks and developing defensive AI strategies.
- Explore the legal, ethical, and geopolitical implications of AI cyber arms.
- Engage in team-based red vs. blue AI simulations for real-world preparedness.
Module 3
Workshop Structure
Module 4
Day 1: Introduction to AI in Cyber Warfare
- Role of AI in modern cyber conflicts and misinformation
- AI attack vectors: adversarial ML, deepfake phishing, autonomous malware
Lab: Crafting AI-enhanced phishing attacks
Module 5
Day 2: Offensive AI ā Weaponizing Machine Learning
- AI in penetration testing and exploit development
- Autonomous cyberweapons: AI worms and DDoS attacks
- Lab: Building and testing simple AI malware
Module 6
Day 3: Defensive AI ā Countering AI Threats
- AI for threat detection and behavioral analytics
- Counter-adversarial ML and deception techniques
Lab: Simulating AI vs. AI in intrusion scenarios
Module 7
Day 4: Future Threats & Ethical Considerations
- AI in espionage, disinformation, and surveillance
- Legal, ethical, and geopolitical implications of AI in warfare
Final Challenge: Red vs. Blue team simulation and debrief
Module 8
Intended For
- Penetration Testers
- SOC Analysts
- Threat Intelligence Researchers
- AI Security Researchers
- ML Engineers in Cybersecurity
- Cyber Warfare Specialists
- Defense Agency Researchers
- Cybercrime Investigators
- National Cybersecurity Policy Makers
- Chief Information Security Officers (CISOs)
- Security Architects
- Risk Management Executives
- Cybersecurity Professors
- AI Ethics & Policy Researchers
- AI Security Product Managers
- Cybersecurity Startup Founders
- Bug Bounty Hunters
- Red Teamers
- Data Scientists in Threat Detection
- Autonomous Cyber Defense Developers
Module 9
Important Dates
Module 10
Registration Ends
2025-04-28
Indian Standard Timing 6:00 PM
Module 11
Workshop Dates
2025-04-28 to 2025-05-01
Indian Standard Timing 7:00 PM
Module 12
Workshop Outcomes
- Master practical skills in developing and defending against AI-powered cyber threats.
- Be able to create and analyze AI-based cyberweapons and defense systems.
- Understand and implement counter-adversarial strategies.
- Be ready to assess future threats and contribute to policy or defense frameworks related to AI in cybersecurity.
Module 14
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of Currencies
Fee Structure
Module 18
Industry Professional
INR. 3499
USD. 75
List of Currencies
Module 19
FOR QUERIES, FEEDBACK OR ASSISTANCE
Module 20
Key Takeaways
Module 23
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Module 24
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Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
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AI Weaponization in Cybersecurity ā Offensive & Defensive Strategies
Professional Certification Program
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FormatLive + Recorded
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Duration8 Weeks
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CertificationVerified
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