AI and IT Security for Leaders: From Awareness to Action

This course equips professionals, project leaders, and decision-makers with a practical knowledge of how artificial intelligence intersects with IT security. It avoids deep technical implementation and instead focuses on risk awareness, strategic thinking, governance, and informed decision-making.

Participants will learn how cybersecurity works at a conceptual level, how AI is transforming both threats and defenses, and how to engage effectively with technical teams. The course bridges the gap between business and IT by enabling participants to recognize risks, ask the right questions, and guide secure AI adoption in their organizations.

The program draws on key elements from cybersecurity fundamentals, AI applications, and incident response frameworks, but reframes them into a practical, leadership-oriented perspective.

PARTICIPANTS WILL LEARN:

• Explain core cybersecurity concepts and why they matter for business operations and AI adoption
• Interpret common cyber threats and vulnerabilities without requiring technical expertise
• Explore how AI is used both to attack and defend systems
• Assess organizational risk exposure related to IT security and AI initiatives
• Apply key security frameworks and principles (e.g., CIA triad, NIST mindset) in decision- making
• Engage effectively with IT and security teams by asking structured, relevant questions
• Evaluate incident response readiness and business continuity strategies
• Shape governance, policies, and cultural behaviors that strengthen cybersecurity posture
• Explore leveraging key AI tools and their use when it comes to IT Security

COURSE OUTLINE

Foundations of Cybersecurity

• Cybersecurity in business terms
• CIA triad as risk trade-offs
• Why breaches are decision failures
• Activity: Quick risk mapping in participants’ organizations

How Systems Work (Non-Technical)

• Systems, networks, access explained simply
• Why access and configuration drive most risk
• Mini Exercise: Identify weak points in a simple company setup

Threat Landscape & Human Factors

• Real threats that matter: phishing, ransomware, insider risk
• AI-driven threats
• Human behavior as the weakest link
• Exercise: Spot the phishing attempt / real-world examples

AI in Cybersecurity (60 min)

• Where AI helps vs where it creates risk
• Detection vs manipulation
• AI risks: data leakage, bias, misuse
• Discussion: Where should we trust AI vs not?

Risk Thinking for Leaders

• Vulnerabilities without jargon
• Risk = impact × likelihood
• Where organizations underestimate risk
• Exercise: Build a simple risk matrix for an AI initiative

Incident Response Simulation

• What happens during a breach
• Decision-making under pressure

Simulation (team-based):

• Ransomware attack scenario
• Teams decide:
  • Shut systems down or not
  • Communicate or delay
  • Pay or resist

Governance, Culture, and Leadership

• Why policies fail
• Security as behavior
• Leadership accountability
• Exercise: Fix a broken policy or communication

Future Trends & Wrap-Up

• AI arms race
• Emerging risks (cloud, IoT)
• What leaders should do next
• Wrap Activity: “What will you do differently Monday morning?”

METHODOLOGY

This instructor-led course uses practical discussion, plain-language explanations, guided exercises, and realistic scenarios to help leaders understand AI and IT security without requiring a technical background.

Participants apply key concepts through risk-mapping activities, phishing examples, AI security discussions, decision-making exercises, and a team-based incident response simulation. The focus is on helping leaders ask better questions, assess organizational exposure, support secure AI adoption, and work more effectively with IT and security teams.

This course is typically offered in a one-day format.

Course Code: OS7294