Event Details
Security teams are generating more telemetry than ever, but traditional SIEM cost models often force tradeoffs between visibility, retention, and budget. As a result, many organizations limit how much data they keep, reducing their ability to investigate incidents, hunt threats, and meet compliance requirements.
Microsoft’s Sentinel Data Lake changes this model by enabling low-cost, long-term storage of security data with on-demand analytics.
In this 30-minute session, we will provide an overview of Sentinel Data Lake, how it works with Microsoft Sentinel, and why it is a critical capability for modern SOCs. You will learn how organizations can retain more security data, reduce Sentinel costs, and improve threat hunting and investigation outcomes, while preparing their environments for AI-driven security tools.
Key takeaways include:
- How Sentinel Data Lake improves SIEM cost efficiency
- Benefits of long-term security data retention
- Use cases for investigations, threat hunting, and compliance
- Considerations for enabling and optimizing Sentinel Data Lake
