Patent attributes
Various embodiments include systems and methods to implement predictive scan autoscaling using cluster-based prediction models by a security platform to predict scanning loads associated with computing resources. Predictive scan autoscaling using cluster-based prediction models may improve the security posture of computing resources by improving the speed by which a security platform may scan for threats of a cyberattack. The security platform may predict scanning loads based on data indicative of previous scanning loads over one or more periods of time for clusters of similar client networks, where similarity may be based on a comparison of deployment assets. The security platform may combine predicted scanning loads with requests for scans received from various client networks.
