Training Your LLM Dragons: Why DSPM is Foundational for Every AI Initiative

As businesses increasingly incorporate Large Language Models (LLMs) like Microsoft 365 Copilot, OpenAI, Bedrock, and Google’s Vertex into their operations, they face new challenges in protecting sensitive and valuable data. While many companies focus on securing critical data, the real challenge extends far beyond that. The true risk lies in discovering and labeling all data—especially within large AI-driven systems where even overlooked data repositories can lead to significant vulnerabilities. What you’ll learn: -Why DSPM (Data Security Posture Management) is essential for every AI initiative—ensuring not only innovation but security as AI tools interact with your data. -Real-world examples of AI inadvertently exposing sensitive information. Imagine an AI chatbot sharing private customer data or a generative AI accidentally leaking proprietary business strategies. We'll walk you through how these risks can be mitigated. -A framework for understanding AI data governance and ensuring data security within AI pipelines, so sensitive information is protected, whether it’s stored in databases, hidden in cloud environments, or part of machine learning models. -A business case for tools like Copilot that enhance decision-making through automation and intelligence while keeping your data secure. Why This Webinar Matters: In the rush to adopt AI technologies, companies often overlook the complexities of their entire data ecosystem. Data Security Posture Management (DSPM) goes beyond traditional security measures by giving you visibility into all your data, whether known or hidden, ensuring long-term security, compliance, and operational resilience. Register now to discover how DSPM helps your organization build a foundation for AI that’s both innovative and secure.