AI Weaponization in Cybersecurity – Offensive & Defensive Strategies

Master the Future of Cyber Defense: Where Artificial Intelligence Meets Cyber Warfare

Mentor: J. T. Sibychen

Cyber and Cloud Security Trainer, NIIT Foundation

00
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03
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29
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22
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MODE

Virtual / Online

LEVEL

Moderate

DURATION

4 Days

STARTS

28 Apr 2025 7:00 PM IST

About the Workshop

This intensive 4-day training session explores the dual role of AI in cybersecurity—both as an offensive tool and a critical component of defense strategies. Participants will dive into advanced topics such as:

  • AI-generated phishing
  • Self-learning malware
  • AI-powered detection system

Hands-on Labs:

Using tools like Python, TensorFlow, and Jupyter Notebooks to simulate realistic AI-enhanced attack and defense scenarios in a controlled virtual environment.

Workshop Objectives

Offensive Understanding

Learn how AI is weaponized in modern cyber warfare and offensive techniques including deepfake phishing, autonomous malware, and adversarial machine learning.

Hands-on Experience

Gain practical skills with AI-driven attack simulations and defensive strategy development through interactive lab sessions.

Strategic Defense

Develop strategies to combat adversarial machine learning techniques and explore legal/ethical implications of AI in cybersecurity.

Day-Wise Structure

Day - 1

Introduction to AI in Cyber Warfare

Overview: Role of AI in contemporary cyber conflicts and misinformation.
Focus Areas: Adversarial ML, deepfake phishing, autonomous malware.
Lab Session: Crafting AI-enhanced phishing attacks.

Day - 2

Offensive AI – Weaponizing Machine Learning

Overview: AI applications in penetration testing and exploit development.
Focus Areas: Autonomous cyberweapons such as AI-powered worms and DDoS attacks.
Lab Session: Building and testing basic AI malware.

Day - 3

Defensive AI – Countering AI Threats

Overview: Harnessing AI for threat detection and behavioral analytics.
Focus Areas: Counter-adversarial ML methods and deception techniques.
Lab Session: Simulating AI vs. AI scenarios in intrusion detection.

Day - 4

Future Threats & Ethical Considerations

Overview: AI in espionage, disinformation, and surveillance contexts.
Focus Areas: Legal, ethical, and geopolitical implications in cyber warfare.
Capstone Challenge: A comprehensive red vs. blue team simulation followed by a debrief session.

Who Should Attend?

Ideal for professionals and researchers working in or interested in the convergence of AI and cybersecurity, including:

CISOs & Security Leaders

SOC Analysts (defensive AI)

Academicians & Professors

Machine Learning Engineers

Cyber Warfare Specialists

National Cybersecurity Policy Makers

Penetration Testers (offensive AI focus)

Threat Intelligence Researchers

Data Scientists in threat detection

Startup Founders & Bug Bounty Hunters

Key Takeaways

✓ Live & Recorded Sessions

Access to real-time lectures and on-demand recordings.

✓ e-Certificate

Validate your skills with an official certificate.

✓ Post-Workshop Support

Continuous query resolution and extended learning.

Fee Structure

Type

INR

USD

Student

₹ 1999

$ 45

Researcher

₹ 2499

$ 55

Academician

₹ 2999

$ 65

Professional

₹ 3499

$ 75

Important Dates

Registration Deadline:

28 April 2025, 6 PM IST

Workshop Dates:

28  April – 01 May 2025, 7 PM IST

We now accept payments in over 20 global currencies alongside USD!

Career Opportunities

Open roles in SOC analysis

AI threat detection

Adversarial ML research

Cybersecurity engineering

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USD United States (US) dollar