In this episode, we’re diving into one of the most critical challenges in artificial intelligence—data security. From supply chain risks and maliciously modified data to data drift that can quietly erode accuracy, protecting information throughout the AI system lifecycle is essential.

We’ll explore insights from global cybersecurity agencies, including best practices and mitigation strategies designed to safeguard the integrity of data that powers AI and machine learning systems. Because in the end, the quality and security of data determine the trustworthiness of AI itself.

So, let’s unpack how securing data can strengthen the future of AI.