AI in the Workplace: How to Secure Your AI Usage from Start to Finish
On the agenda
The Fundamentals of AI Security. Understanding key concepts: threat models, attack surface, and the lifecycle of AI systems—and why AI security is more than just traditional cybersecurity.
The AI Act: Who is affected, when, and why. Understand the risk levels (minimal, limited, high, unacceptable), the specific requirements for each role—supplier, deployer, user—and the actual deadlines for compliance.
Cybersecurity & AI: Key Risks to Be Aware Of. Prompt injection, data poisoning, model theft, exploitable hallucinations: an overview of attack vectors specific to AI systems and how to address them.
ISO/IEC 42001: The Rising Star of AI Certification. Why this standard is becoming a strategic tool for demonstrating your AI maturity, what it covers, and how it relates to ISO 27001 and the AI Act.
Where to start, in practical terms. Assessing current practices, mapping risks, AI governance, and initial controls: four high-impact steps to launch your security program without getting bogged down in details.
What you will gain from it
A clear and structured overview of the regulatory and security landscape surrounding AI
A framework for prioritizing your AI risks based on your company size (small business, mid-sized company, large corporation)
Initial actionable deliverables: AI usage inventory grid, AI Act compliance checklist, mapping of ISO 42001 to the AI Act
Practical tips for involving your IT, legal, and business teams from the very start
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