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?

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

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