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AI Assurance Audit Awareness Session (​​Delhi)

Ensuring Trustworthy Systems

Ampcus Cyber is hosting a one-day AI Assurance Audit Awareness Workshop that transforms complex AI governance into practical steps. Learn how to audit systems, assess bias, and ensure compliance - equipping your organization with the clarity and confidence to build trustworthy, transparent, and resilient AI.

In Partnership with

isaca new delhi chapter logo

  ​27th September, 2025 

BmJgeapRz5TGAAAAAElFTkSuQmCC  09:00 AM - 05:00 PM (​​IST​)

wY7rVA+qkceAuAAAAAElFTkSuQmCC  ​New Delhi

Book your Seat!
Benefits

Fee & Registration

₹1100 

Non-ISACA Chapter
Members  

₹500 

ISACA Chapter
Members

Unlock Benefits

6 CPE
Credits

Certificate of Completion 

Training Materials 

Real-world Case Studies

Network with Industry Peers

Who Should Attend?

Why Attend ​​AI Assurance Audit Session?

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
Earn 6 CPE credits

Why ​CAISS Workshop 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.

Trainers

salil dighe

Salil Dighe 

Senior Cybersecurity Consultant
at Ampcus Cyber
(Veteran CISO | 20+ Yrs Experience | CISSP)

NikhilRajSingh1

Nikhil Raj Si​ngh

Chief Strategy Officer
at Ampcus Cyber
(Cybersecurity Leader | PCI QSA | PCI Forensic Investigator | HITRUST CCSFP)

What Will You Learn?

Module 1: Understanding AI Assurance
  • Presentation and discussion on AI assurance principles and lifecycle
  • Case Study 1: AI in Healthcare Diagnostics 
Module 2: Auditing AI Systems 
  • Overview of audit frameworks and risk management
  • Exercise 1: Identifying Risks 
Module 3: Evaluating AI Models 
  • Discussion on model development, validation, and bias
  • Case Study 2: Bias in Hiring Algorithms
  • Exercise 2: Bias Detection 
Module 4: Data Integrity and Governance
  • Topics on data quality, governance, privacy, and security
  • Case Study 3: Data Breach in AI System
  • Exercise 3: Data Governance Plan 
Module 5: Explainability and Transparency
  • Techniques for explainable AI and stakeholder communication
  • Case Study 4: Explainable AI in Finance
  • Exercise 4: Explainability Assessment 
Final Recap & Reflections 
  • Summary and key takeaways
  • Q&A and discussion
  • Feedback and next steps 

Book your Seat!

Ampcus Cyber
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