Helping Great Companies Get Better at Compliance

Course Overview

As AI systems become more integrated into critical operations, securing them against cyber threats is no longer optional. This course offers a practical introduction to the cybersecurity challenges and responsibilities that come with developing, deploying, and managing AI technologies.

You’ll learn how AI systems can introduce new attack surfaces, how to protect data and models from manipulation or misuse, and how to apply key cybersecurity principles, such as resilience, access control, and risk mitigation, in AI contexts.

Whether you're designing AI systems or relying on them in day-to-day operations, this course equips you to recognize vulnerabilities, strengthen defenses, and ensure your AI tools are secure, reliable, and trustworthy.

 

Who Is This For?

This course is designed for professionals who work with, manage, or oversee AI systems and need to understand the cybersecurity risks and responsibilities involved in their development and use:

  1. Cybersecurity & IT Risk Professionals – Strengthening your ability to assess and secure AI systems against emerging threats.
  2. CIOs, CISOs & Technology Leaders – Gaining insight into how AI changes the threat landscape and how to manage associated risks.
  3. AI & Data Science Teams – Learning how to integrate security best practices into model development and deployment.
  4. Product Managers & Technical Leads – Ensuring AI-powered features are built with security and resilience in mind.
  5. Compliance & Governance Teams – Understanding the security obligations tied to AI systems, especially in regulated sectors.
  6. Procurement & Vendor Managers – Evaluating the cybersecurity posture of third-party AI systems and service providers.
  7. Public Sector & Critical Infrastructure Leaders – Securing AI used in essential services from disruption or manipulation.
  8. Risk Managers & Internal Audit Teams – Identifying and addressing vulnerabilities in AI-enabled business processes.
  9. Anyone Involved in AI Deployment – Whether you're implementing, integrating, or overseeing AI systems, this course helps you recognize risks and apply security-first thinking.


Modules

  • AI and Cybersecurity - Explore the unique security challenges that come with AI systems. This module covers how AI can introduce new vulnerabilities—from adversarial attacks and data poisoning to model inversion and misuse of generative tools. You'll learn core cybersecurity principles as they apply to AI, including system hardening, access controls, secure deployment practices, and incident response. By the end, you’ll know how to identify risks, protect AI assets, and build more resilient, trustworthy systems.

Lessons

  1. Chapter 1

     Poglavlje 1

     AI and Cybersecurity

Why Register?

  • Understand AI security risks – Learn how AI systems introduce new attack surfaces and what that means for cybersecurity.

  • Protect critical systems and data – Gain practical strategies to defend AI models, data pipelines, and infrastructure from threats.

  • Build resilience into AI projects – Learn how to apply security principles throughout the AI lifecycle, from design to deployment.

  • Support secure implementation across teams – Become a trusted resource for integrating cybersecurity into AI development and procurement.

  • Advance your career – Earn a certification that demonstrates your ability to manage cybersecurity challenges in AI-enabled environments.

Reach your full potential.

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