Twistlock Ltd.

Palo Alto Networks, Inc.

Michael Velbaum

Dima Stopel

Liron Levin

John Morello

Itay Abramowsky

Isaac Schnitzer

Michael Kletselman

Alon Adler

A system and method for cloud native virtual machine (VM) runtime protection. The method includes creating a normal behavior model for a cloud native VM by training a machine learning model using a training data set including training activities performed by the cloud native VM, the cloud native VM being configured to provide at least one service, wherein the normal behavior model defines at least one capability of each service based on a set of capabilities for respective known services stored within a library of service-to-capability mappings, wherein each capability of a service indicates a plurality of discrete behaviors required by the service; and monitoring an execution of the cloud native VM to detect a deviation from the normal behavior model, wherein the deviation is caused by at least one abnormal behavior of one of the services that is not among the discrete behaviors defined in capabilities for the service.

Cloud native virtual machine runtime protection

A system and method for cloud native virtual machine (VM) runtime protection. The method includes creating a normal behavior model for a cloud native VM by training a machine learning model using a training data set including a plurality of training activities performed by the cloud native VM, the cloud native VM being configured to provide at least one service, wherein the normal behavior model defines at least one capability of each of the at least one service, wherein each capability of a service indicates a plurality of discrete behaviors required by the service; and monitoring an execution of the cloud native VM to detect a deviation from the normal behavior model, wherein the deviation is caused by at least one abnormal behavior of one of the at least one service that is not among the discrete behaviors defined in the at least one capability for the service.

A system and method for serverless runtime application self-protection. The method includes embedding a serverless defender function into a function serverless bundle containing an application deployment bundle of a serverless application, wherein the embedding further comprises modifying the function serverless bundle to include a serverless defender shared library and a security policy, wherein the serverless defender shared library is configured to install at least one hook into at least one system call of the serverless application when the serverless application is executed, wherein each hook only allows running of system calls and library functions that satisfy the security policy during execution of the serverless application, wherein the serverless defender function is loaded at a system when the serverless application is initiated by the system, wherein the serverless defender function is configured to perform at least one mitigation action when the security policy is violated during execution of the serverless application.

Techniques for serverless runtime application self-protection

Growing community of inventors

Herzliya, Israel

Michael Velbaum