Statistics help measure cyber risk, reveal attack patterns, and support evidence-based decisions about security controls and incident response.
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Statistics is the collection, analysis, interpretation, and presentation of data. Descriptive statistics summarize observed events, while inferential methods estimate patterns or uncertainty beyond the available sample. Reliable results depend on representative data, consistent definitions, and awareness that correlation does not by itself establish cause.
In information security, statistics help establish normal activity from logs, identify anomalous behavior, measure detection false-positive rates, and estimate incident scope. Vulnerability teams can combine historical exploitation, asset exposure, and remediation data to prioritize work, but such estimates are not guarantees and can reflect biased or incomplete reporting. Statistical models also require monitoring as attacker behavior and environments change. Aggregated security statistics may still reveal sensitive information when groups are small, so privacy controls and careful disclosure matter in internal reporting, threat intelligence, and compliance evidence.
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Explore the need for going beyond built-in Microsoft 365 and Google Workspace™ security based on email threats detected in 2023.
Explore the need for going beyond built-in Microsoft 365 and Google Workspace™ security based on email threats detected in 2022.
Explore the need for going beyond built-in Microsoft 365 and Google Workspace security based on email threats detected in 2021.
Explore the need for going beyond built-in Microsoft 365 and Google Workspace security based on email threats detected in 2021.