8. Sep 2026
AI and Cybersecurity Under Control: How to Manage Regulatory Obligations (AI Act, NIS2, DORA, CRA)
The new wave of AI and cybersecurity regulations brings not only opportunities but also clear obligations. Be prepared!
Failure to comply with the requirements of the AI Act, the Cybersecurity Act, NIS2, DORA, and CRA can result in significant penalties, operational restrictions, and reputational risks. This training provides a systematic overview of regulatory obligations in the areas of AI and cybersecurity from a legal and compliance perspective, without focusing on technical solutions.
What you will learn:
- You will understand the legal and regulatory obligations in the areas of AI and cybersecurity arising from the AI Act, the Cybersecurity Act, NIS2, DORA, and CRA.
- You will gain an overview of the obligations organizations face under these laws and learn how to apply the rules correctly in practice.
- You will learn to identify which regulatory obligations apply to your organization and how to systematically address them within a compliance framework.
Who is this course for:
The course is designed for managers, compliance specialists, IT and data experts, as well as project and startup leaders who develop, use, or plan to use AI in their products and processes, or who sell AI systems as a product in the EU.
It is ideal for all organizations that need to understand legal obligations, AI and cybersecurity regulations, and ensure that their solutions comply with legislation and withstand any potential audit or inspection.
Course Syllabus
Introduction
- The Regulatory Context of AI and Cybersecurity in the EU
- Why the AI Act, Cybersecurity Act, NIS2, DORA, and CRA Are Changing the Rules of the Game
- Impact on Slovak and European Companies
Block 1: Artificial Intelligence Regulation (AI Act)
- Structure and Principles of Regulation
- Definitions, Risk Categories, and Basic Obligations
Block 2 Obligations and Compliance
- Obligations for Providers, Deployers, Importers, Distributors, and Operators of AI Systems and Models
- Respect for the rights of data subjects
- Documentation, transparency, registration
- Practical examples of compliance
Block 3 High-risk AI systems
- Identification of high-risk systems
- Requirements for data management, testing, and monitoring
- How to prepare a company for an audit and inspection
Block 4: Regulatory Obligations in the Area of Cybersecurity
- Cybersecurity Act – Scope, Affected Entities, and Basic Legal Obligations
- NIS2 – Expansion of the Regulatory Framework, New Obligations for Organizations, Management Responsibility, and Sanctions Regime
- DORA and CRA – Obligations in the Area of Digital and Cybersecurity Risk Management from a Regulatory Perspective
- The Relationship Between Cybersecurity Regulatory Obligations and the Use of AI Systems
Block 5 Practical Exercises and Case Studies
- Common mistakes in implementing the AI Act and other regulations
- Recommendations for immediate action within the company
- Discussion and questions from participants
Bonus for participants:
- Opportunity for individual consultation after the course
Register today and prepare your organization for new regulatory obligations in the areas of AI and cybersecurity!
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8. Sep 2026
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9. Sep 2026
