receiving a request to perform a security policy implementation analysis for a first deployment associated with a first client in an IT environment;

collecting IT information associated with the first deployment;

applying trained machine learning models to analyze the IT information of the first client to compute a security policy for the first deployment,

wherein the security policy is computed based on a calculated uncertainty of effects that applying the security policy to the first deployment is capable of causing, and a predicted amount of resources of the first deployment that applying the security policy to the first deployment would consume;

outputting an indication of the security policy for display in a dashboard on a display of a user device of the first client;

training the machine learning models to analyze IT information; and

storing the trained machine learning models to a predetermined database, wherein training the machine learning models includes: retrieving IT information associated with a second deployment of a training IT environment; computing risk level errors from components of the second deployment and applications of the second deployment; transforming the IT information into training datasets for the machine learning models; training a first of the machine learning models using a first of the training datasets, wherein the first of the machine learning models is trained for calculating uncertainty; and training a second of the machine learning models using a second of the training datasets, wherein the second of the machine learning models is trained for predicting resource consumption.