Pirsig Detection Builder-Sigma Rule Conversion

Example

Translating a rule designed to detect potential ransomware activity based on the observation of files with a '.wannacry' extension being created.

Scenario

In this scenario, a cybersecurity analyst suspects a ransomware attack within the network. They utilize a Sigma rule that flags any instance of '.wannacry' file creation. Pirsig Detection Builder takes this rule and generates an Elastic query that scans the organization's file systems for these indicators, enabling quick identification and response to the threat.

Example

Optimizing a Splunk query for detecting irregular login attempts outside of normal business hours.

Scenario

A security operations center (SOC) analyst observes an increase in login attempts during unusual hours, which could indicate a brute force attack. They use Pirsig Detection Builder to convert and optimize a generic Sigma rule into a Splunk query. This optimized query efficiently sifts through massive volumes of login data to highlight suspicious activities, facilitating a rapid investigation.

Example

Ensuring a Sigma rule intended for detecting SQL injection attempts is compatible with both Elastic and Splunk.

Scenario

In a scenario where an organization uses both Elastic and Splunk for different segments of their network, ensuring consistent threat detection across platforms is crucial. A cybersecurity analyst uses a Sigma rule to detect SQL injection attempts. Pirsig Detection Builder converts this rule into queries for both SIEM systems, ensuring uniform security monitoring and threat detection across the organization's entire IT infrastructure.