Case Study: Almond automates 80% of cyber alert responses with Qevlar AI

Almond automates 80% of cyber alert responses with Qevlar AI

Almond, a major MSSP, faced the challenge of handling a growing volume of security alerts without overloading its SOC analysts. The company needed to reduce its Mean Time to Remediation (MTTR) and free up its expert staff to focus on more complex cases. To address this, Almond turned to the vendor Qevlar AI and its AI SOC platform.

By implementing Qevlar AI's solution, Almond automated its alert investigation and response processes. The results were significant, with over 80% of alerts now being processed autonomously. This automation drastically reduced the Mean Time to Remediation to under five minutes, allowing Almond to strategically redistribute its SOC resources toward critical thinking and proactive initiatives.

Almond