Agentic AI: Risk, Control and Accountability
TrendAI presents: Understanding the Rise of Embedded SLMs and Their Impact on Enterprise Decision-Making, a roundtable and lunch
Agentic AI: Risk, Control and Accountability
A roundtable and lunch with
AI agents no longer just answer questions: they act. They retrieve data, make decisions and carry out tasks inside business systems, often with the access rights of the people they assist.
They reach organisations in two ways. Some are chosen: agents built for a purpose, running in the cloud, locally, or both. Others arrive embedded in software already in use, through platform updates and new features that are not always flagged as such.
Either way, the question is no longer whether to adopt agentic AI but how to govern what it does. Whether in the cloud, on-premises or hybrid, every deployment choice moves risk around rather than removing it. A locally hosted model keeps data in-house, but it is neither secure by default nor necessarily open source. Relying on AI embedded in SaaS platforms hands over part of the operation, but not the accountability. Cost predictability differs too: local capacity is an investment, while pay-per-use depends on prices the provider sets.
This round-table brings together business and technology leaders in Luxembourg to share experience, test assumptions and compare the practices they are building. Questions will include:
If AI is embedded in platforms such as SAP or Salesforce, have you lost agency, or outsourced your risk posture?
Do you know what data your AI agents were trained on, and does running them locally or on open weights change the answer?
Where are the gaps in transparency, accountability and oversight?
What are the advantages and disadvantages of treating an AI agent like a human colleague, particularly when it comes to permissions, responsibilities and accountability?
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Discover our experts
Jean-Francois Thils
Owner
Onyxir Advisory
Robert Wortmann
Principle Security Strategist and creator of The Breach.
TREND AI
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