The Future Of Security With Certified AI Security Specialist (CAISS)

Starts:  Feb 26, 2024 18:00 (ET)
Ends:  Feb 29, 2024 21:00 (ET)
Associated with  New England Chapter

The Certified Al 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 Al with robust cybersecurity practices. The thoroughness of this training guarantees that experts cannot only comprehend the complexity of security in the AI era, but also handle them with skill. Through the integration of
artificial intelligence (AI) and strong cybersecurity protocols, CAISS enables people to remain ahead of the constantly evolving field of digital security. The objective is to produce experts who can protect against new risks and weaknesses while utilizing AI to its fullest.

Key Topics Covered

1.Al Basics and Business Applications

2. Al in Vulnerability Assessment and Penetration Testing
3. Governance, Risk, and Compliance with Al

4. Managed Detection and Response (MDR) with Al
5. Building a Secure Al Environment

6. Threat Intelligence and Threat Hunting with Al
7. Privacy Impact Assessment (PIA) with Al

Day 1.Introduction to AI in Business & Security

Session 1: Understanding AI Basics
• Overview of Artificial Intelligence
• Machine Learning vs. Traditional Programming
• Types of Machine Learning: Supervised,
Unsupervised, Reinforcement Learning
• Common AI Terminology

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 & Pen 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 Detection
• 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 & 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


Prajwal Gowda
VP Delivery and Trainings
27001 LA, ISO 27001 LI, CPISI – S
Master Trainer

Prajwal Gowda, a seasoned cybersecurity professional with 10+ years' expertise, specializes in AI Security and safeguarding organizations from evolving threats. As Chief Technology Officer (CTO) at Ampcus Cyber, he draws on a rich background as a Business Unit Head, excelling in Compliance and Testing services. His proficiency spans PCI, ISO 27001, Software Security Framework, ISMS, Risk Analysis, and more, reflecting a comprehensive grasp of the cybersecurity landscape. Prajwal is a Master Trainer, having conducted 100+ cybersecurity and AI Security
sessions globally, training over 1000 professionals.

Deep Chanda
Chief Officer

Deep Chanda, is an industry veteran with 20+ years of experience in the cybersecurity space. Deep is currently the Chief Officer of Ampcus Cyber, where he specializes in assisting clients in improving their security posture against emerging threats. He directs the company's technological strategy, He leads the company's technology strategy, drives innovation in cybersecurity solutions, and envisions a secure digital future for organizations. Deep is a well-respected trainer and speaker who is well-versed in the necessity of AI security and the scrutiny that surrounds this growing technology.