Most IT teams pride themselves on \u201cfive nines\u201d uptime or a speedy MTTR (mean time to respond). But true resilience can\u2019t be measured by uptime alone. A server can stay online while under silent attack, or recover quickly only after data was lost. Focusing only on uptime and outage recovery is like measuring a hospital solely on patient discharge speed \u2013 useful, but missing preventative care. Imagine these scenarios if you want to highlight some of the gaps:<\/p>\n
In these cases, uptime metrics look rosy while serious issues lurk beneath. Uptime and MTTR are lagging indicators \u2013 they kick in after a failure. They don\u2019t reward the preparation<\/em> that prevented the failure or reduced its impact. With SMBs and MSPs facing what sometimes feels like relentless cyberattacks, waiting until after a crisis to measure success is too late.<\/p>\n Bottom line:<\/strong> if your performance dashboard is all green on uptime, it might be giving false comfort. Measuring true resilience demands tracking what leads to staying up in the first place, not just how long you were down.<\/p>\n So, what should we measure? First, let\u2019s recap what \u201cresilience\u201d means in a cybersecurity context. It\u2019s the ability to continue operations before, during, and after an attack. That means security and business continuity practices work hand-in-hand across key areas:<\/p>\n Crucially, resilience metrics need to cover prevention and readiness, not just reaction. For example, knowing how many threats you blocked (prevention) or how many devices are fully secured (readiness) is as important as knowing how quickly you restored a server.<\/p>\n Here are six key metrics that go beyond uptime, each illuminating a different aspect of resilience.<\/p>\nResilience Runs on Multiple Fronts<\/strong><\/h2>\n
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KPIs That Matter for Resilience<\/strong><\/h2>\n
1. Threat Prevention Rate<\/strong><\/h3>\n