Introduction
As artificial intelligence (AI) becomes a key part of business and public services, ensuring digital trust is essential. AI systems must be secure, transparent, and ethical to gain public confidence and meet legal requirements. However, challenges such as bias in AI decisions, data privacy risks, and cybersecurity threats raise concerns about its safe use. The course will also discuss AI governance frameworks, legal regulations, and best practices for developing trustworthy AI systems. Additionally, the course will highlight strategies to improve transparency, making AI systems more understandable and reliable. Participants will learn how organizations handle AI risks, protect sensitive data, and address ethical concerns in AI-driven decision-making. By the end of the program, participants will have a deeper understanding of how to use AI responsibly while maintaining digital trust in a rapidly evolving technology landscape
Course Outline
- Module 1
- Module 2
- Module 3
- Module 4
- Module 5
- Course Objectives
- Target Audience
AI and Digital Trust
- Understanding digital trust in the AI era.
- AI’s role in security, governance, and risk management.
- Ethical AI principles and responsible AI deployment.
- Trust challenges in AI-powered automation and decision-making
AI Governance, Compliance, and Risk Management
- Legal and regulatory frameworks for AI ( EU AI Act, GDPR, ISO 42001).
- AI risk assessment and governance models.
- Auditing AI systems for accountability and transparency.
- AI governance success stories and failures.
Cybersecurity and Threat Management
- AI-powered cybersecurity: opportunities and risks
- Leveraging machine learning for threat detection and fraud prevention
- Securing AI models from adversarial attacks and data poisoning
- Protecting digital assets with AI-driven identity verification
AI, Data Privacy, and Secure AI Deployment
- AI and data privacy: balancing innovation with compliance
- AI’s impact on consumer data protection and digital rights
- Secure AI model deployment and lifecycle management
- AI-powered fraud detection in financial transactions
The Future of AI and Digital Trust
- Emerging trends: AI in digital identity and decentralized trust systems
- Quantum AI and its implications for digital security
- AI and blockchain for verifiable and tamper-proof transactions
By the end of this course, participants will be able to:
- Understand the key principles of digital trust in AI-driven environments.
- Identify risks and ethical challenges associated with AI adoption.
- Implement AI governance frameworks to ensure security and compliance.
- Mitigate AI biases and ensure transparency in decision-making.
- Strengthen cybersecurity with AI-driven threat detection and prevention.
- Protect sensitive data while leveraging AI for business intelligence.
- Develop strategies to enhance public and customer trust in AI solutions.
This course is ideal for
- Chief Information Security Officers (CISOs)
- AI & Data Science Professionals
- Risk Management Officers
- Compliance Officers
- IT & Cybersecurity Experts
- Digital Transformation Leaders.
- Regulatory Authorities
- Business & Technology Executives
Course Schedule & Fees
- Kuala Lumpur
- Singapore
- Amsterdam
- Online
- Course Fees
This courses will take place in Kuala Lumpur on the following dates:
| 12/05/2025 | 26/05/2025 | 09/06/2025 | 23/06/2025 |
| 07/07/2025 | 21/07/2025 | 04/08/2025 | 18/08/2025 |
| 01/09/2025 | 22/09/2025 | 06/10/2025 | 20/10/2025 |
| 10/11/2025 | 24/11/2025 | 15/12/2025 | 05/01/2026 |
| 26/01/2026 | 16/02/2026 |
This courses will take place in Singapore on the following dates:
| 05/05/2025 | 26/05/2025 | 16/06/2025 | 30/06/2025 |
| 21/07/2025 | 11/08/2025 | 01/09/2025 | 22/09/2025 |
| 13/10/2025 | 03/11/2025 | 24/11/2025 | 15/12/2025 |
| 05/01/2026 | 26/01/2026 |
This courses will take place in Amsterdam on the following dates:
| 19/05/2025 | 09/06/2025 | 30/06/2025 | 21/07/2025 |
| 11/08/2025 | 01/09/2025 | 22/09/2025 | 13/10/2025 |
| 03/11/2025 | 24/11/2025 | 15/12/2025 | 05/01/2026 |
| 26/01/2026 | 16/02/2026 |
This courses will take place Online the following dates:
| 06/05/2025 | 03/06/2025 | 01/07/2025 | 29/07/2025 |
| 26/08/2025 | 23/09/2025 | 21/10/2025 | 18/11/2025 |
| 16/12/2025 | 13/01/2026 | 10/02/2026 |
| Kuala Lumpur | Singapore | Amsterdam | Online |
| USD$ 3,580 | USD$ 5,600 | USD$ 5,600 | USD$ 1,920 |
