Creating a Standardized Security Information Model To Streamline Security Infrastructure
Every corporation is building their own security data consumption systems of significant size, complexity, cost and staffing to answer specific security and governance control related questions. These systems are typically called a Security Data Lake with the goal of ingesting curated events from across CSP’s and on-prem devices; then enriching, filtering, applying ML and retaining this data for short to medium term. The ONUG Collaborative, feels strongly of the importance of partnering with CSPs in creating a standardized security information model (and related outputs). During this session this panel will describe what we learned about security data lakes and how a standardized security information model will help reduce complexity and cognitive load that so many ONUG members experience in the support of disparate security alert message types allowing security teams to focus on the events that are most important.
Preeti is a Principal Product Manager for Microsoft’s Cloud and AI Security group. With over 12 years of experience with Microsoft, Preeti has delivered multiple Bing and .NET products. In her current role, Preeti is responsible for Azure Sentinel ecosystem and community charter. She’s passionate about delivering great customer and developer experiences. Preeti is an active contributor to the ONUG Automated Cloud Governance working group, driving the Cloud Security Notification (CSNF) initiative.
