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Baseline Deviation

A baseline deviation is a measurable difference between current system behavior and an established normal operating pattern.

In cybersecurity, baselines represent the typical performance metrics, network traffic patterns, user behaviors, or system configurations that characterize normal, secure operations within an organization's IT environment.

Security teams establish baselines by monitoring and recording regular system activities over time, creating a reference point for what constitutes normal behavior. These baselines might include typical login times, data access patterns, network bandwidth usage, or application performance metrics.

When monitoring systems detect activities that fall outside these established parameters, they flag baseline deviations as potential security incidents requiring investigation. For example, if a user typically accesses files during business hours but suddenly begins downloading large volumes of data at midnight, this deviation from their baseline behavior could indicate a compromised account or insider threat.

Baseline deviation detection is fundamental to behavioral analytics and anomaly-based security monitoring systems. However, organizations must regularly update their baselines to account for legitimate changes in business operations, seasonal variations, or evolving user needs, ensuring that normal operational changes don't trigger false positive alerts while maintaining sensitivity to genuine security threats.

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Downloadable References

PDF
Sample, shareable addition for employee handbook or company policy library to provide governance for employee AI use.
PDF
Generative AI is exploding, but workplace governance is lagging. Use this whitepaper to help implement guardrails.
PDF
Cheat sheet for basics to stay secure, their ideal deployment order, and steps to take in case of a breach.
 
 
 
 
 

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