Certify as an AI Security Specialist with
CAISS Workshop!

caiss

Join us for a 16 hour live and interactive workshop—only 4 hours a day for 4 days.

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.

Course Fee:

$130

Regular
Participants

$100

Local ISACA & ISC2 Chapter Members

$80

Returning
Participants

Fill the form to Register!

 
 
 
 
 
 
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Course Fees: *
 
If you are a member of ISACA and/or ISC2 Local Chapter Member, you must mention your ISACA or ISC2 Chapter Name, Membership Number or below. Please mention “NA” if you are not a member of any chapter.
 

 

Unlock The Future Of Security By Becoming
A Certified AI Security Specialist (CAISS)

What is CAISS?

The Certified AI Security Specialist (CAISS) training is a cutting-edge program designed to bridge the gap between cybersecurity and the revolutionary world of Artificial Intelligence. This comprehensive training equips professionals with the skills and knowledge to navigate the evolving landscape of security, combining the power of AI with robust cybersecurity practices.

 

Who Should Attend?

  • Cybersecurity Professionals: Stay ahead in your field by integrating AI into your security toolkit.
  • Business Leaders: Understand how AI can enhance your organization’s security posture and make informed decisions.
  • IT Managers and Executives: Gain insights into leveraging AI to fortify your cybersecurity strategies.

Why Attend CAISS?

  • 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 to Expect?

  • Comprehensive Curriculum: Covering AI fundamentals, practical applications, and future trends.
  • Interactive Workshops: Engage in hands-on sessions to implement AI in cybersecurity scenarios.
  • Real-world Insights: Learn from successful AI integration case studies and industry experts.
  • Certification Exam: Validate your skills with a recognized certification in AI Security.

Key Topics Covered

  • AI Basics and Business Applications
  • AI in Vulnerability Assessment and Penetration Testing
  • Governance, Risk, and Compliance with AI
  • Managed Detection and Response (MDR) with AI
  • Building a Secure AI Environment
  • Threat Intelligence and Threat Hunting with AI
  • Privacy Impact Assessment (PIA) with AI

Certified AI Security Specialist Workshop – Course Content

  • Day 1
  • Day 2
  • Day 3
  • Day 4

Day 1

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

Day 2

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

Day 3

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

Day 4

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