AI in Offensive and Defensive Security Workshop by Tonex
This workshop explores the intersection of artificial intelligence and cybersecurity. Learn to leverage AI tools for penetration testing, strengthen defenses with anomaly detection, and understand how attackers exploit AI vulnerabilities. Designed for ethical hackers, security researchers, and penetration testers, this course provides essential skills for staying ahead in the evolving threat landscape.
Learning Objectives:
- Understand the role of AI in modern offensive and defensive security.
- Learn to use AI tools for penetration testing and vulnerability analysis.
- Identify AI-based techniques to detect and mitigate cyber threats.
- Analyze potential risks of AI exploitation by attackers.
- Develop strategies to secure AI systems from adversarial attacks.
- Gain hands-on experience with AI-driven security solutions.
Audience:
- Ethical hackers
- Security researchers
- Penetration testers
- Cybersecurity analysts
- Incident response teams
- Professionals interested in AI and security integration
Course Modules:
Module 1: Introduction to AI in Security
- Basics of AI in cybersecurity
- AI’s role in offensive security
- AI’s role in defensive security
- Key challenges and limitations
- Ethical considerations in AI-driven security
- Emerging trends in AI and cybersecurity
Module 2: AI for Offensive Security
- Automating penetration testing with AI
- Using AI for reconnaissance and data gathering
- Machine learning in vulnerability exploitation
- Evasion techniques using AI tools
- Adversarial AI and crafting attack strategies
- Case studies: Offensive AI in action
Module 3: AI for Defensive Security
- AI-powered vulnerability management
- Anomaly detection using machine learning
- Behavior-based threat detection models
- AI in malware analysis and prevention
- Building AI-enabled intrusion detection systems
- Practical defensive applications of AI tools
Module 4: Exploiting AI Systems
- Understanding adversarial machine learning
- Poisoning attacks on AI models
- Evasion attacks on AI-based defenses
- Reverse engineering AI algorithms
- Case studies: Real-world AI exploitation
- Mitigating risks in AI system design
Module 5: Securing AI Systems
- Best practices for AI model security
- Safeguarding data pipelines and algorithms
- Testing AI systems against adversarial attacks
- Building robust AI defenses
- Securing AI deployments in production
- Future-proofing AI systems against evolving threats
Module 6: Hands-on Workshop and Case Studies
- Setting up AI-driven penetration testing tools
- Using AI for automated vulnerability scanning
- Creating and defending against adversarial AI attacks
- Designing anomaly detection models with real-world data
- Simulating AI-enabled incident response scenarios
- Reviewing case studies to integrate learned skills
Ready to stay ahead in cybersecurity? Enroll in Tonex’s AI in Offensive and Defensive Security Workshop today. Equip yourself with cutting-edge AI techniques to protect and innovate in the evolving digital landscape.