Use Case
Detection Validation
Ensure the effectiveness of detection systems by leveraging real-world adversarial behaviour built on curated cyber threat intelligence.
Challenge
Alert rules may not effectively detect real attack scenarios, leading to missed threats and wasted analyst time. There are several reasons for this, including misconfigured detection systems, changes in cloud systems, compromised detection systems, and missing log events. This ultimately creates detection gaps that may not be identified until attackers exploit them.
How Mitigant Helps
Mitigant provides several approaches to enhance detection engineering efforts. Mitigant attacks are mapped to MITRE ATT&CK, enabling easy validation of detection logic. Furthermore, Detection logic is provided in Sigma format for all attacks, making it easy to harden when such is missing. With the Attack-as-Code feature, detection engineers can directly integrate attacks into the Detection-as-Code pipeline.
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Customer Outcomes
Organizations strengthen SOC confidence with empirically validated detections, reducing blind spots and improving alert fidelity.
Challenge
Alert rules may not effectively detect real attack scenarios, leading to missed threats and wasted analyst time. There are several reasons for this, including misconfigured detection systems, changes in cloud systems, compromised detection systems, and missing log events. This ultimately creates detection gaps that may not be identified until attackers exploit them.
How Mitigant Helps
Mitigant provides several approaches to enhance detection engineering efforts. Mitigant attacks are mapped to MITRE ATT&CK, enabling easy validation of detection logic. Furthermore, Detection logic is provided in Sigma format for all attacks, making it easy to harden when such is missing. With the Attack-as-Code feature, detection engineers can directly integrate attacks into the Detection-as-Code pipeline.
Read More
Customer Outcomes
Organizations strengthen SOC confidence with empirically validated detections, reducing blind spots and improving alert fidelity.
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