You have a lot of data, and it's spread across too many locations. Discovering it all can feel like a gargantuan task, especially when unstructured data is involved.
Slow Data ClassificationClassification takes so long that you might have thought about classifying it manually. Inaccuracies create more unease than certainty that data is secure.
Complex Policy ConfigurationData loss prevention policies are notoriously difficult to create and scale. There's no one-size-fits-all template, or an easy button to extend enforcement everywhere you need it.
Widening Coverage GapsA lack of policy uniformity and the never-ending growth of cloud applications combined with inaccurate data classification to create the perfect storm: doubt that your data security is doing its job.
Intermittent Data MonitoringPeriodic scans can be painstakingly slow and resource intensive. An inability to quickly see changes in permissions or file movements extends your response time.
Inconsistent Incident DetectionComplex integrations create more noise than signals. False-positives and a lack of resources makes it difficult to separate a real alert from one who cries wolf.
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