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AI Agents in the Enterprise: Balancing Autonomy and Oversight
AI agents are already in use at many companies—in customer service, procurement, and internal processes. Some are officially implemented, while others are not. In audits, we regularly see employees or teams using their own agents without the knowledge of IT, security, or compliance. This raises liability, data protection, and governance issues that have barely been addressed so far. In this webinar, Christian Kuß (Luther Rechtsanwälte) and Kilian Schmidt (Kertos) explain the legal landscape and how to implement these requirements operationally within your company.
Why this is relevant to you
If AI agents are running or being introduced in your company—officially or otherwise—you are generally liable for their actions as if an authorized employee had performed them, even if internal budget limits or prompt rules state otherwise. At the same time, the GDPR requires different safeguards for an agent's memory than for a classic chatbot. ISO 42001 explicitly requires an inventory of your AI systems, and ISO 27001 requires this in principle for all information assets.
What to expect
- What distinguishes an AI agent from a chatbot, and why shadow AI regularly becomes a real problem in this context
- When you as a company are liable for an agent's actions, and what current case law indicates
- The specific requirements for data protection and security, from memory and tool access to classification under ISO 27001, ISO 42001, and the AI Act, with a brief look at the Cyber Resilience Act
- Live Q&A: get all your questions answered by experts
