Abstract: Dynamic honeypots for computer program execution environments are described. A determination is made whether a time period has expired since a computer program execution environment, of multiple computer program execution environments, began executing a computer program that provides a user service. The computer program execution environment is changed into a computer security mechanism that counteracts an attempt of unauthorized use of a system that comprises the computer program execution environment, in response to a determination that the time period has expired since the computer program execution environment began executing the computer program that provides the user service.

Abstract: The life cycle of one or more containers related to one or more containerized applications is managed by determining that a predefined retention time for a first container of a plurality of containers has elapsed; in response to the determining, suspending new session traffic to the first container; and waiting for a predefined session dilution time before terminating the first container and/or changing a role of the first container. In some embodiments, the session dilution time allows existing sessions to complete before the first container is disconnected from a service platform.

Abstract: A plurality of containers related to one or more containerized applications are managed by monitoring an execution of the one or more containers; determining that a given one of the one or more containers exhibits anomalous behavior; and in response to the determining, adjusting a retention time of the given container, wherein the retention time of the given container determines when the given container is one or more of terminated and changes role to a honeypot container. The anomalous behavior comprises, for example, the given container exhibiting behavior that is different than a learned baseline model of the given container or including program code consistent with malicious activity. An alert notification of the anomalous behavior is optionally generated. The retention time of the given container can be adjusted for example, to an interval between deployment of the given container and the time the anomalous behavior is detected.

Abstract: A method and system for implementing risk-based cyber security. Specifically, the disclosed method and system entail evaluating risk as a decision threshold for conducting cyber security assessments of system images within cloud computing environments. Further, the disclosed method and system pivot on intelligence pertaining to the latest cyber threats and/or vulnerabilities found worldwide.

Abstract: Techniques are provided for data-driven ensemble-based malware detection. An exemplary method comprises obtaining a file; extracting metadata from the file; obtaining a plurality of malware detection procedures; selecting a subset of the plurality of malware detection procedures to apply to the file utilizing a likelihood that each of the plurality of malware detection procedures will result in a malware detection for the file based on the extracted metadata; applying the selected subset of the malware detection procedures to the file; and processing results of the subset of malware detection procedures using a machine learning model to determine a probability of the file being malware.

Abstract: The life cycle of one or more containers related to one or more containerized applications is managed by determining that a predefined retention time for a first container of the plurality of containers has elapsed; in response to the determining, performing the following honeypot container creation steps: suspending new session traffic to the first container; maintaining the first container as a honeypot container; and identifying communications sent to the honeypot container as an anomalous communication. Alert notifications are optionally generated for the anomalous communication.

Abstract: A method and system for implementing cloud native application threat detection. Specifically, the disclosed method and system entail configuring a webhook within a build pipeline for cloud native applications, which when triggered by the detection of modifications to container configuration and/or definition files associated with the cloud native applications, forwards exact copies of the cloud native applications to a threat detection service for cyber security assessing. Further, based on the assessing, cloud native applications may be impeded from continuing, or alternatively, may be permitted to continue along, the build pipeline.

Abstract: Techniques are provided for data-driven ensemble-based malware detection. An exemplary method comprises obtaining a file; extracting metadata from the file; obtaining a plurality of malware detection procedures; selecting a subset of the plurality of malware detection procedures to apply to the file utilizing a likelihood that each of the plurality of malware detection procedures will result in a malware detection for the file based on the extracted metadata; applying the selected subset of the malware detection procedures to the file; and processing results of the subset of malware detection procedures using a machine learning model to determine a probability of the file being malware.

Abstract: A method and system for implementing a cloud native crowdsourced cyber security service. Specifically, the disclosed method and system entail leveraging existing disaster recovery (DR) solutions to perform cyber security assessments on cloud native application images restored within isolated cloud-based testing sandboxes. In leveraging existing DR solutions, a crowdsourced cyber security service is integrated into the existing DR solution as an additional feature.

Abstract: A method and system for implementing threat intelligence as a service in a cloud computing environment. Specifically, the disclosed method and system entail leveraging existing disaster recovery (DR) solutions to perform threat intelligence tests and identify known cyber security threats and/or anomalous activity instigated by unknown cyber security threats, if any, on system images backed up on the existing DR solution. In leveraging existing DR solutions, a threat intelligence service is integrated into the existing DR solution as an additional feature.

Abstract: A method and system for implementing cyber security as a service in a cloud computing environment. Specifically, method and system entail leveraging existing disaster recovery (DR) solutions to perform cyber security tests and assess cyber security vulnerabilities, if any, on system and/or application images backed up on the existing DR solution. In leveraging existing DR solutions, a cyber security service is integrated into the existing DR solution as an additional feature.

Abstract: A method and a system for implementing golden container storage. Specifically, the disclosed method and system entail the creation of a container registry to securely store golden containers (or templates) for containers of specific application types that execute within a service platform. Given short retention spans, the containers are constantly being cycled out. Each recreated container is modeled after one of the golden containers, and assigned new Internet Protocol (IP) and/or media access control (MAC) addresses rather than assuming the existing addresses of the containers the recreated containers replace. Substantively, embodiments of the invention employ these tactics towards implementing a moving target defense (MTD) strategy.