Cloud-Driven Security: Building a Data Lake and Integrating Agentic Solutions for Real-Time Action

In today's rapidly evolving digital landscape, ensuring robust cloud security is more critical than ever.

In this presentation titled "Cloud-Driven Security: Building a Data Lake and Integrating Agentic Solutions for Real-Time Action," we will explore our innovative approach to enhancing cloud security through the construction of a comprehensive data lake utilizing the powerful features of Google Cloud Platform (GCP).

We will discuss how we transformed our data pipeline using various Extract, Transform, Load (ETL) processes to create a streamlined framework that enables efficient data storage, retrieval, and analysis. The centerpiece of our strategy is the development of an Agentic AI-based tool that leverages Large Language Model (LLM) capabilities to provide actionable insights in real time.

This tool is designed specifically for Site Reliability Engineers (SRE) and security teams, empowering them to proactively monitor cloud environments and respond to potential threats with agility. By harnessing the synergy between our data lake and Agentic solutions, we can enhance security monitoring and incident response, ultimately improving the resilience of our cloud infrastructures.

Join us as we outline our methodology, share insights gleaned from our implementation, and discuss how integrating data lakes with advanced Agentic AI applications can redefine security operations in the cloud era.