Course Overview
As we navigate a digital-first world, the rapid adoption of Artificial Intelligence (AI) offers transformative opportunities to enhance organisational efficiency and security, yet it also brings complex, evolving challenges. This two-day intensive course is specifically tailored for risk, security, governance, and privacy professionals to equip them with the skills and knowledge needed to tackle these modern challenges. Participants will delve into both the potential and pitfalls of AI, gaining a comprehensive understanding that enables them to effectively and responsibly harness AI technologies. This course aims to prepare professionals to secure the future of their organisations by adapting AI solutions to meet the demands of a rapidly changing threat landscape and to overcome the challenges presented by a digital-first environment.
Target Audience
This course is ideal for risk, security, governance, and privacy professionals who aim to:
•    Stay informed about the latest technological advancements.
•    Secure and ethically implement AI technologies.
•    Enhance their organisation’s AI governance and risk management practices.

Course Outline

Day 1: Foundations of AI in Cybersecurity and Governance
Session 1: Introduction to AI and Its Impact on Organisations
•    Introducing core concepts and broad applications of AI.
•    Discussing the influence of AI on organisational strategy and governance frameworks.
•    Exploring general challenges in AI deployment.
Session 2: AI Risks and Regulatory Compliance
•    Understanding the spectrum of AI-related risks, including ethical concerns and operational vulnerabilities.
•    Exploring the AI regulatory landscape and discussing compliance in a dynamic environment.
•    Developing strategies to mitigate AI risks and enhance fairness and reliability.
Session 3: Building Digital Trust and Ethical AI
•    Enhancing security measures with AI-driven technologies.
•    Aligning AI usage with organisational values and stakeholder expectations.
•    Discussing best practices for ethical AI deployment and maintenance.

Day 2: Strategic AI Integration and Management
Session 4: Practical AI Applications and Organisational Fit
•    Showcasing real-world examples of AI integration in risk, security, and governance.
•    Evaluating AI tools and technologies for organisational fit and strategic advantage.
•    Discussing the transformation of practices through AI in cybersecurity.
Session 5: AI in Cybersecurity and Digital Trust
•    Exploring the synergy between AI technologies and cybersecurity practices.
•    Demonstrating how AI builds and sustains digital trust across business ecosystems.
•    Using AI to enhance threat detection and incident response capabilities.
Session 6: Enhancing Organisational Resilience
•    Preparing organisations to effectively tackle emerging cyber threats with AI.
•    Strengthening defences against evolving cyber threats.
•    Enhancing incident management with AI-driven solutions.
Session 7: Course Recap and Interactive Discussion
•    Summarising key learnings and strategic insights from the course.

Learning Objectives
By the end of this course, participants will:
•    Have a clear understanding of AI technologies and their implications across various domains.
•    Proactively identify and assess AI-related risks within their organisations.
•    Contribute to the development and implementation of robust governance frameworks for trustworthy AI.

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