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Course Description

This AIS247: AI Security Essentials for Business Leaders is a valuable training program that equips business leaders with the knowledge and tools necessary to navigate the complexities of artificial intelligence (AI) in a secure and responsible manner. This comprehensive course delves into the fundamentals of AI, including its transformative potential and the associated risks. It provides insights into the ethical and secure use of AI technologies, emphasizing the importance of transparency, accountability, and the development of robust AI policies aligned with organizational goals. By understanding the technological aspects of AI and its impact on various industries, business leaders can make informed decisions that harness the power of AI while mitigating potential threats and ensuring a secure and ethical AI ecosystem.

Course Objectives

Upon the successful completion of this course, each participant will be able to:

  • To equip business leaders with the knowledge and understanding of AI security best practices to effectively mitigate risks and leverage the power of AI responsibly.

Who Should Attend?

This course is intended for CEOs, CTOs, CIOs, Business Unit Heads, Senior Managers, and other key decision-makers.

Course Agenda

DAY 1

Registration​, Welcome & Introduction

Pre-Test

Introduction to AI & Security Landscape

  • What is AI? Types of AI (Machine Learning, Deep Learning, NLP, etc.)
  • AI Applications in Business (Marketing, Finance, Operations, etc.)
  • The Rise of AI and its Impact on the Business World
  • Emerging AI Technologies and their Implications
  • The Evolving Threat Landscape: AI-Powered Attacks (Deepfakes, Adversarial Attacks, etc.)
  • Data Breaches and Privacy Concerns in the AI Era
  • Insider Threats and the Role of AI in Insider Threat Detection
  • Regulatory Compliance and AI (GDPR, CCPA, etc.)

DAY 2

AI Security Fundamentals

  • Data Security in AI Systems: Data Collection, Storage, Processing, and Sharing
  • Model Security: Model Poisoning, Evasion Attacks, and Intellectual Property Theft
  • AI Bias and Fairness: Ethical Considerations and Mitigating Bias
  • Building Trust and Transparency in AI Systems
  • Implementing AI Security Controls: Access Control, Encryption, and Threat Detection
  • AI-Powered Security Solutions: Intrusion Detection Systems, SIEM, and Endpoint Security
  • Developing an AI Security Strategy: Risk Assessment and Prioritization

DAY 3

AI Risk Management & Governance

  • Identifying and Assessing AI Security Risks: Threat Modeling and Vulnerability Analysis
  • Developing an AI Security Policy Framework: Roles and Responsibilities, Incident Response Plan
  • Implementing AI Security Controls: Access Control, Encryption, and Threat Detection
  • AI-Powered Security Solutions: Intrusion Detection Systems, SIEM, and Endpoint Security
  • Building an AI-Secure Organization: Culture of Security, Training and Awareness Programs
  • The Role of AI in Cybersecurity: Threat Hunting, Incident Response, and Predictive Analytics
  • Case Studies: Real-world examples of AI security breaches and successful mitigation strategies

Day 4

Future of AI & Security

  • The Future of AI: Emerging Trends and Technologies (AIoT, Edge AI, etc.)
  • The Evolving Threat Landscape: Advanced Persistent Threats (APTs) and Nation-State Actors
  • The Role of AI in National Security and Global Security
  • Preparing for the Future of AI Security: Upskilling the Workforce, Building Partnerships
  • The Ethical Implications of AI in Security: Privacy, Surveillance, and Human Rights
  • The Future of Cybersecurity: AI-Driven Defense and Predictive Security

DAY 5

Action Planning & Next Steps

  • Developing an Action Plan: Prioritizing Key Initiatives and Setting Measurable Goals
  • Building an AI Security Roadmap: Aligning with Business Objectives and Strategic Priorities

Post-Test

End of the Course

Assessment Methodology

All courses conducted by EdTech will begin with a Pre-evaluation and end with a Post-evaluation. The instructor will evaluate the knowledge and skills of the participants according to the feedback given by participants. This will help to recognize the benefits and the level of knowledge gained by participants through the course.

Training Methodology

Facilitated by a highly qualified specialist, who has extensive knowledge and experience; this program will be conducted using extensively interactive methods, encouraging participants to share their own experiences and apply the program material to real-life work situations in order to stimulate group discussions and improve the efficiency of the subject coverage.

Percentages of the total course hour classification are:

  • ​40% Theoretical lectures, Concepts and approach
  • 20% Motivation to develop individual skill and Techniques
  • 20% Case Studies and Practical Exercises
  • 20% Topic General Discussions and interaction

Course Manual

Participants will be provided with comprehensive presentation material as reference manual. This presentation material is a compilation of core valuable information, references, presentation methods and inspiring reading which will be used as a part of the material guide.

Course Certificate

At the completion of the course, all participants who successfully accomplished the required contact hours will receive an EdTech Training Participation Certificate as a testimony to their commitment to professional development and further education.

Why Edtech ?

  • Industry Experienced; Internationally Qualified Trainers
  • Hands-on Practical Sessions & Assignments
  • Intensive Study materials
  • Flexible Schedules
  • Realistic training methodology
  • High-Quality Training in Affordable Course Fees
  • Achievement Certificate, as approved by the Ministry of Education (Abu Dhabi Center for Technical and Vocational Education Training - ACTVET), HABC, AWS, IAOSHE, SHRM, etc.