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Certified AI Security Specialist (CAISS)

This comprehensive workshop, in a partnership with Local ISACA and ISC2 Chapters, shapes the experts to lead the future of cyber security by mastering AI-driven defenses against evolving cyber threats.

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If you are a member of ISACA and/or ISC2, please mention your Chapter Name, Membership Number or mention 'NA' if not applicable.

Who Should Attend?

Why Attend ​CAISS?

Image Alt Cybersecurity Professionals
Image Alt Business Leaders
Image Alt Risk Management Professionals
Image Alt IT Security Professionals
Image Alt Stay relevant with the latest security trends.
Image Alt Gain practical knowledge through hands-on workshops.
Image Alt Enhance your career with a recognized certification.
Image Alt Connect with industry experts and peers.

Why ​CAISS Training Program Is Important?

Stay Relevant: In a rapidly changing digital landscape, staying updated on the latest security trends is crucial.

Practical Learning​: Hands-on workshops and real-world case studies ensure practical application of AI in cybersecurity.

Networking Opportunities: Connect with industry experts and peers to exchange insights and best practices.

Career Advancement: Earn a prestigious certification that demonstrates your expertise in the intersection of AI and cybersecurity.

What Will You Learn?

Introduction to AI in Business and Security

Session 1: Understanding AI Basics
  • Overview of Artificial Intelligence
  • Common AI Terminology
  • Machine Learning vs. Traditional Programming
  • Types of Machine Learning: Supervised, Unsupervised, Reinforcement Learning
Session 2: Applications of AI in Business
  • AI in Business Processes
  • Automation and Efficiency Gains
  • Case Studies: Successful AI Implementations in Business
Session 3: AI and Cybersecurity Landscape
  • The Intersection of AI and Cybersecurity
  • Current Challenges in Cybersecurity
  • Role of AI in Enhancing Cybersecurity
Session 4: Regulatory and Ethical Considerations
  • AI and Privacy Regulations
  • Ethical Use of AI in Security
  • Responsible AI Practices

AI Integration in Cybersecurity Domains

Session 5: Vulnerability Assessment and Penetration Testing (VAPT) with AI
  • Overview of VAPT
  • How AI Enhances VAPT
  • Hands-on: AI-driven VAPT tools and techniques
Session 6: Governance, Risk, and Compliance (GRC) with AI
  • Importance of GRC in Cybersecurity
  • AI for Risk Assessment and Compliance
  • Data Protection Impact Assessment (DPIA) with AI
  • Real-world GRC use cases with AI
Session 7: AI in Managed Detection and Response (MDR)
  • Introduction to MDR
  • Leveraging AI for Threat Detectionv
  • Incident Response with AI

AI in Security Operations Center (SOC)

Session 8: Building a Secure AI Environment
  • Securing AI Systems
  • Adversarial Attacks on AI
  • Best Practices for Secure AI Implementation
Session 9: AI for Threat Intelligence
  • Threat Intelligence Basics
  • Role of AI in Threat Intelligence
  • Threat Hunting with AI
Session 10: AI in Security Analytics
  • Log Analysis and Security Analytics
  • Using AI for Anomaly Detection
  • Case Studies on AI-driven Security Analytics

Practical Implementation and Future Trends

Session 11: Real-world Case Studies
  • Examining Successful AI Integration in Cybersecurity
  • Learning from Failures: Challenges and Solutions
  • Industry Trends and Emerging Technologies
Session 12: AI Threats, Risks, and Privacy Considerations
  • Assessing Risks in AI Applications
  • Privacy Impact Assessment (PIA) with AI
  • Addressing AI-specific Threats and Risks
Session 13: Future Trends in AI and Cybersecurity
  • Advances in AI for Cybersecurity
  • The Role of AI in Shaping the Future of Security
  • Preparing for Tomorrow’s Threats
Session 14: Q&A and Certification
  • Open Floor for Questions and Discussions
  • Certification Exam for AI in Cybersecurity