This webinar explores the security and safety challenges associated with Large Language Models (LLMs) and their integration into business and regulatory environments. It examines risks such as data privacy, model misuse, bias, and adversarial manipulation, while also reviewing current best practices for governance, oversight, and safe deployment. Participants will gain a structured understanding of the evolving risk landscape and practical approaches to managing LLM-related threats.
This course requires a minimum of 6 participants before the live session/webinar can be scheduled.
We encourage you to enrol now to secure your place. While the session date will only be confirmed once the minimum number of participants has been reached, our team will keep you informed every step of the way.
All enrolled learners will:
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Receive email updates about the enrolment progress.
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Be contacted individually once the minimum requirement is met.
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Be the first to know the confirmed date and time of the live session/webinar.
By enrolling early, you ensure your spot in the course and help us bring the group together more quickly.
- Teacher: Dr. Theodosis Mourouzis