
On-demand webinar
Data security in generative AI – challenges & best practices
Video available 24/7
Online registration required

Piotr Kalinowski
Head of Data & AI

Tony Butler
Strategic Account Manager
Learn to mitigate data security risks in AI app development
When considering the business opportunities offered by generative AI (genAI), many companies are also looking into the risks associated with this technology. A recent survey found that 80% of AI decision makers are concerned about data privacy and security, while only one in ten organizations has a reliable system in place to measure bias and privacy risk in large language models (LLMs). To address these issues early and meet compliance requirements, businesses need to implement the right frameworks and design their AI solutions with data safety in mind.
Watch this on-demand webinar to learn best practices for developing safe generative AI apps from an experienced AI expert who will share his strategies for ensuring data security in AI-driven products. Explore often overlooked aspects of data privacy in genAI and find out how to mitigate potential security risks when implementing LLMs.