Microsoft Sentinel Advanced Hunting: Writing Graph Queries for Attack Path Analysis

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Microsoft Sentinel is a powerful cloud-native security information and event management (SIEM) solution that offers advanced hunting capabilities through Graph Query Language (GQL).

What graph-based hunting in Sentinel provides

Graph-based hunting allows threat hunters and advanced SOC analysts to visualize and analyze complex relationships between security events, entities, and activities. This approach enables the discovery of hidden patterns and anomalies that might be difficult to find using traditional query methods.

Writing Graph Query Language (GQL) queries in Sentinel

To build custom graphs in Sentinel, you’ll write GQL queries that define the nodes and edges of your graph. These queries can be saved as custom graphs for easy reuse.

Using custom graphs to map privilege chains and attack paths

By connecting related security events and entities using custom graphs, you can better understand how attacks progress through your environment. This information helps you identify vulnerabilities and prioritize remediation efforts.

Integrating Sentinel graph with Fabric for custom data sources

Sentinel’s integration with Azure Monitor’s Fabric provides access to rich telemetry from various Azure services, allowing you to create more comprehensive attack path analysis graphs.

Persisting graph results via scheduled jobs

Schedule your custom graphs to run at specific intervals to continuously monitor for new threats and changes in attack patterns. Persisted graph results can be analyzed and acted upon by security teams as needed.

Conclusion

Leverage the power of Microsoft Sentinel’s advanced hunting capabilities to uncover hidden threats and better understand your environment’s attack surface. Mastering GQL queries and custom graphs will empower you to map privilege chains, attack paths, and continually improve your security posture.

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