Metadata Lake: A Deep Dive
With Generative AI (GenAI) accelerating data growth and complexity, 79% of security leaders struggle with classifying data used for AI and less 50% have confidence in the control of sensitive data used for AI/ML applications (Source: Bedrock Security 2025 Enterprise Data Security Confidence Index). This exclusive webinar reveals how a Metadata Lake architecture is the bedrock of a successful program to ensure Responsible AI initiatives, accelerate DSPM programs, and ensure data management teams can reduce risk, protect critical data, and ensure compliance across cloud and GenAI environments.
Key Insights You'll Discover:
- What is a metadata lake - and its importance for modern data security programs
Learn about the latest architecture that CISOs and CTOs are using to solve modern AI and data security use cases. - How a metadata lake works
We will look inside a metadata lake, including what can be stored, how AI can be used to analyze the information, and how a graph database can be built across 50+ parameters. - Best practices for using a metadata lake
Discover how a Metadata Lake can be operationalized, including providing value for your entire security toolstack for faster and more accurate security and governance remediation. - 3 examples of a Metadata Lake Copilot in action for security, governance, and data management use cases
We will explore how making a Metadata Lake accessible and easy to use is critical to keep up with a growing set of data and data security controls, and see how the Bedrock Metadata Lake Copilot accelerates productivity.
Why You Should Attend:
This webinar is designed for CISOs, CTOs, CDOs, senior security leaders, and compliance executives managing sensitive data in sectors like healthcare, finance, and technology. You’ll learn how to strengthen your data security posture, protect critical assets, and ensure compliance in the GenAI era.