Sentinel KQL Builder-KQL Query Building

Example

Writing KQL queries to identify indicators of compromise (IoCs) within log data, such as repeated failed login attempts from a foreign country.

Scenario

A security analyst detects an unusual spike in login failures and uses Sentinel KQL Builder to create a query that isolates these events, revealing a potential brute-force attack.

Example

Transforming and extracting valuable information from raw log data, making it more accessible and interpretable for security purposes.

Scenario

An IT specialist needs to parse event logs from various sources to normalize the data format. They use Sentinel KQL Builder to create queries that extract key fields such as timestamps, user IDs, and event types.

Example

Building detailed queries to track the activities of a suspected compromised account or endpoint within a given timeframe.

Scenario

Following a security alert, an incident responder uses Sentinel KQL Builder to trace the actions of the suspect entity, uncovering the scope of the breach and aiding in remediation efforts.

Example

Setting up continuous monitoring queries to oversee the health and performance of security tools and infrastructure.

Scenario

A network administrator uses Sentinel KQL Builder to design a dashboard that continuously monitors the performance and availability of firewalls and intrusion detection systems.