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MTTR (Mean Time to Respond)
The average time required to detect and contain a security incident — a key KPI for measuring SOC efficiency and operational maturity.
Mean Time to Respond (MTTR) is a critical security operations metric that measures the average time elapsed between the detection of a security incident and its full containment or resolution. A lower MTTR indicates a more efficient and mature SOC capable of limiting the dwell time of adversaries within the network. MTTR is influenced by factors including detection capability, playbook quality, automation level, and analyst skill. Industry benchmarks suggest that organizations with mature SOC programs achieve MTTR measured in hours rather than days. CyberUp24's SOC Optimization services implement tracking models and automation workflows specifically designed to reduce MTTR across your security operations.
Related terms
SOAR (Security Orchestration, Automation and Response)
Technology that automates security workflows, orchestrates tools, and accelerates incident response — transforming manual SOC tasks into intelligent, repeatable processes.
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SIEM (Security Information and Event Management)
A platform that aggregates and analyzes security data from across an organization's environment to detect threats and generate alerts in real time.
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Vulnerability Scanning
Automated identification and analysis of security weaknesses in systems, networks, and applications to prioritize remediation efforts.
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Zero Trust
A security model based on the principle of never trust always verify — requiring continuous authentication and authorization for every user device and connection regardless of location.
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Threat Hunting
A proactive security practice where analysts actively search for hidden threats and adversaries within an organization's environment before alerts are triggered.
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SOAR (Security Orchestration Automation and Response)
Technology that automates security workflows, orchestrates tools, and accelerates incident response — transforming manual SOC tasks into intelligent, repeatable processes.
Read full description
S
s
