Abstract: A system obtains a user profile that is associated with a user. The system determines, based on the user profile, and by using a first machine learning model, that the user is to be granted a security access and thereby causes the security access to be granted to the user. The system obtains, based on causing the security access to be granted to the user, user behavior information associated with the user. The system generates, based on the user behavior information, and by using a second machine learning model, certification information that indicates whether the security access is to be renewed or revoked. The system thereby causes the security access to be renewed when the certification information indicates that the security access is to be renewed, or the security access to be revoked when the certification information indicates that the security access is to be revoked.

Abstract: Security policy analysis is disclosed. Configuration information, including at least one policy, is received. The received configuration information is used to build a model, including by normalizing the policy. The policy is used to perform a policy analysis, including by performing a pre-change analysis associated with a proposed policy change. A result of the policy analysis is provided as output.

Abstract: Security policy analysis is disclosed. Configuration information, including at least one existing policy, is received. The received configuration information is used to build a model, including by normalizing the policy. The model is used to analyze the existing policy. A result of the policy analysis is provided as output.

Abstract: Provided herein are systems and methods for radiolabeling of recombinant Adeno-Associated Virus (rAAV) with radioactive iodine. Also provided are methods for in vivo imaging and treatment using the radiolabeled rAAV.