AI Security Mastery Workshop
Harness the power of AI in cybersecurity and elevate your skills with our AI Security Mastery Workshop, designed for IT professionals aiming to protect and secure machine learning models from emerging threats.
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Essential Skills Gained
Analyze AI security vulnerabilities and threats.
Implement cutting-edge defense strategies for AI systems.
Conduct forensic investigations on compromised AI systems.
Prepare and execute AI incident response plans.
Format
- Instructor-led
- 3 days with lectures and hands-on labs.
Audience
- Cybersecurity specialists
- Machine Learning engineers
- Data management analysts
- Technical project leaders
Description
Immerse yourself in the dynamic world of AI security with our hands-on workshop, tailored for professionals keen on mastering AI-driven cybersecurity threats and defense tactics. This course empowers participants to detect vulnerabilities, fortify machine learning models, and formulate incident response strategies to tackle AI-related challenges. Engaging real-world exercises will guide you through simulating security attacks, devising strategic defenses, and diving into ethical AI security practices. Whether you're directly securing AI technologies or leading AI initiatives, you'll acquire the expertise to enhance AI safety protocols and manage cybersecurity risks adeptly.
Course Outline
Download PDFIntroduction to AI Security
Understanding AI security necessity
Survey of AI threat landscape
Threat detection in AI systems
Implementing AI security guidelines
Avoiding common security pitfalls
Activity: Basic security practices implementation
AI's role in enhancing cybersecurity
Identifying AI Threats and Vulnerabilities
Inherent AI vulnerabilities
Threat categories affecting AI
Common AI system weaknesses
Analysis of landmark AI security incidents
Building Robust AI Defense Systems
Protecting AI from cyber threats
Core AI defense strategies
AI in intrusion detection systems
Assessing risks and vulnerabilities with AI
Activity: Creating a simple AI intrusion detection system
Tackling Adversarial AI Threats
Understanding adversarial AI attacks
Counteracting adversarial attack techniques
Defense measures against adversarial samples
Activity: Countermeasures for adversarial threats
Exploring AI Forensics
Forensics application in AI security
Forensic analysis principles for AI
Key forensic techniques for AI breaches
AI's role in forensic data interpretation
Activity: Conducting a basic AI forensic analysis
Developing AI Incident Response Plans
Effective AI incident management
Fundamentals of AI incident response
Automated responses in AI IR
Planning incident responses for AI breaches
AI Privacy and Ethics
Managing privacy in AI applications
Differential privacy principles
Ethical issues in AI security
Hands-on Lab: Applying differential privacy in AI
Future Challenges in AI Security
Emerging threats and future trends
AI in handling quantum computing threats
AI-driven security automation and SOAR
AI's role in enhancing zero-trust frameworks
Additional Resources and Next Steps
Advancing in AI security
Implementing ethical AI in daily operations
Staying updated with AI tools
Course references and further learning paths
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Aaron Steele
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Kathy Le
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Oussama Azzam
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Aaron Steele
Casey Pense
Chris Tsantiris
Javier Martin
Justin Gilley
Kathy Le
Kelson Smith
Oussama Azzam
Pascal Rodmacq
Randall Granier