Lize Raes is Product Manager and Developer Advocate at Naboo.ai, where she helps to build the developer productivity toolbox of the future. Known as the public face of the LangChain4j framework, she loves inspiring developers to apply the potential of AI in real-world applications. Committed to applying technology to societal challenges, Lize has embraced roles such as cochlear implant researcher at Ghent University, bioinformatics engineer for drug development software, and advisor to the Belgian government, where her COVID-19 prognosis model was used to steer drug and hospital supplies during the pandemic. In her free time, you will find her behind the piano or in her woodworking atelier.
LLMs accessing the database and intelligent agents that perform online purchases? The possibilities for AI in applications seem endless but so are their security and data privacy risks. In this session, we’ll address common issues such as prompt injection, key leakage, abuse of private customer data for model training, legal restrictions, and more. In addition, we will show that general security issues in your systems can also influence the behavior and outcome of LLMs.
During this session, you’ll get a solid overview of the vulnerabilities to avoid, strategies to ensure data privacy compliance and best practices for building secure LLM-powered applications.
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