Cybersecurity Reference > Glossary
What is Dwell Time?
In cybersecurity generally, dwell time is a measure of the time period between an attacker's first illicit access to an information system and the moment at which this access is detected. During this time period, they are said to "dwell" within the system.
Dwell time can be reduced by increasing visibility, improving analytics, employing security-related automation, and employing strategies like continuous authentication and zero trust to limit or flag suspicious behaviors and prevent privilege creep.
In behavioral biometrics, dwell time is is a measure of the duration of a keypress. Dwell time is one of the signals used in keyboard dynamics in particular, to recognize a particular individual's typing characteristics.
Origin
The term borrowed from military and intelligence contexts, where "dwell time" had long referred to the duration an observer or asset remained in a target area. As advanced persistent threats became more common around 2010, measuring and reducing dwell time became a core metric for security operations teams. FireEye and Mandiant were among the first to publish industry-wide dwell time statistics, showing median times ranging from several months down to weeks as detection capabilities improved.
The behavioral biometrics usage of "dwell time" developed separately, coming from research in the 1980s and 1990s on keystroke dynamics as a biometric identifier. Researchers found that the duration someone holds down each key is remarkably consistent for individuals and could serve as one component of a digital signature.
Why It Matters
The challenge isn't just about having the right tools. Many breaches are eventually traced back to alerts that were generated but never investigated, or unusual behaviors that didn't quite meet the threshold for automated response. Human analysts get overwhelmed by noise, and attackers know how to move slowly enough to avoid triggering obvious alarms.
Zero trust architectures help by requiring continuous verification rather than assuming trust once someone is inside the network perimeter. This approach makes it harder for attackers to dwell unnoticed because each access attempt generates fresh scrutiny. Combined with improved threat hunting and behavioral analytics, organizations can often detect subtle signs of compromise that older perimeter-focused approaches would miss entirely.
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