Abstract: A system and a method for secure operator onboarding and creating an ingest job agent for secure multitenant operations of a distributed computing cluster are provided. Embodiments automate multitenant operations for distributed computing clusters. These operations include automation of operator onboarding, creation of logically segregated distributed data stores within the distributed computing clusters for the on-boarded operator, and creation of ingest agents with security isolation for transfer of large quantities of files into the distributed computing clusters. Embodiments provide multitenant security, in which the same Hadoop cluster serves multiple operators with each operator's data and processes in effective isolation. In this manner, multitenant security keeps each user's data storage and operations on the Hadoop cluster separated from other operators.

Abstract: Access to a shared library API is restricted for a customer application by a security system. A profile for each of a plurality of trusted applications is generated and stored in a security database. When a customer application attempts to access the shared library API, the customer application is verified by extracting a customer application profile for the customer application, comparing the customer application profile with each stored trusted application profile, and verifying that the customer application can access the shared library API based on the comparison. Based on the verification, the customer application may be allowed to or access to the shared library API or may be prevented from accessing the shared library API.

Abstract: Disclosed is an improved approach to implement a mechanism to provide customer control over access to cloud infrastructure by the cloud provider's operator employees. This mechanism allow customer controlled access to any cloud infrastructure that belongs to or is otherwise allocated to the customer.

Abstract: Disclosed herein is a system for minimizing the amount of time it takes to process and understand an unstructured, text-heavy document that includes important security-related information. The system uses a model that implements natural language processing techniques to semantically analyze an unstructured, text-heavy document, in order to identify notable security features useable to resolve the security issues in a more effective and efficient manner (e.g., without the need for a technical security professional). More specifically, the system receives an unstructured document that includes text which may be provided by multiple different security providers. The system is configured to apply the model to various text segments (e.g., a phrase, a sentence, a paragraph, etc.) included in the unstructured document to identify notable security features. The model can then associate the notable security features with a prescribed set of mitigation actions that can be implemented to resolve a security issue.

Abstract: A multi-API security policy that covers multiple API calls of a transaction is dynamically enforced at runtime, without access to the specification or code of the APIs. Calls made to APIs of the transaction are logged, and the logs are read. Data objects used by the APIs are identified. Specific data labels are assigned to specific fields of the data objects, consistently identifying data fields of specific types. Linkages are identified between specific ones of the multiple APIs, based on the consistent identification of specific types of data fields. An API call graph is constructed, identifying a sequence of API calls made during the transaction. The call graph is used to enforce the security policy, by tracking the flow of execution of the multi-API transaction at runtime, and detecting actions that violate the security policy. Security actions are taken responsive to the detected actions that violate the policy.

Abstract: Providing an accurate and on-demand status of audit compliance is disclosed. A security policy, agreed upon by a service provider and a service user, is provisioned in a compliance log. A service provider requests to add a first update to the compliance log, the first update indicating that a compliance action has been taken. The first update is added to the compliance log, and a first computational digest of the compliance log is added after adding the first update. An auditor of the compliance action requests to add a second update to the compliance log. The second update is added to the compliance log, and a second computational digest of the compliance log is added after adding the second update. Thereby, the user is provided a more current view of audit compliance that that can be trusted based on the tamper-proof compliance log.

Abstract: Disclosed herein are system, method, and computer program product embodiments for displaying roles of an identity and access management (IAM) together with their corresponding compliance status of the assigned security policies with respect to a set of security rules. The method includes selecting a first role and a second role administered by an entity of the IAM system. Afterwards, the method includes determining, based on a set of security rules, a first compliance status of the first role associated with a first set of security policies; and a second compliance status of the second role associated with a second set of security policies. In addition, the method includes displaying on a GUI, the first role and the second role together with a first compliance status and a second compliance status.

Abstract: A device may receive data identifying malicious behavior by a compromised endpoint device associated with a network and may receive user identity data identifying a user of the compromised endpoint device associated with the network. The device may receive endpoint device data identifying the compromised endpoint device and other endpoint devices associated with the network and may receive network device data identifying network devices associated with the network. The device may utilize the data identifying malicious behavior, the user identity data, and the endpoint device data to generate, based on an identity of the user, a security policy to isolate the malicious behavior. The device may cause the security policy to be provided to the network devices and the other endpoint devices based on the network device data and the endpoint device data.

Abstract: Disclosed are implementations, including a method that includes monitoring dataflow streams in a network comprising multiple computing nodes, and determining network security characteristics for a dataflow stream, from the monitored dataflow streams, relating to security, authentication, and access events for accessing, via the dataflow stream, one or more of the multiple nodes. The method further includes determining potential violations by the dataflow stream of security policies defined for operation of the network, access functionality for the network, or identity attributes used by the network, based, at least in part, on the determined network security characteristics for the dataflow stream, and based on network-operation data comprising one or more of network security data, network identity data, and network access data. The network-operation data is stored in one or more data storage units in the network, and is configured to manage network access and operation for the multiple computing nodes.

Abstract: A computer-implemented method of monitoring security of a set of computing devices in a distributed system, the distributed system having a plurality of computing devices, in communication with one another over a network, by a security software running in a computer node. The method includes comparing an app signature of the application running in a selected one of the set of computing devices to a reference app signatures generated from a respective functional replica of the application.

Abstract: Systems, methods, and storage media for abstraction and enforcement of protected resources in an identity infrastructure are disclosed. Exemplary implementations may: identify one or more protected resources for one or more identity domains of an identity infrastructure; receive, at the identity infrastructure, a dataflow pertaining to first identity data for a first identity domain; request the first identity session based at least in part on the first identity data; receive a request to access a first protected resource of the one or more protected resources; accept the first identity session by the first protected resource; and provide the first user access to the first protected resource.

Abstract: Embodiments are directed to systems that attempt to establish trust in relation to operations on a customer endpoint of a computer network. The systems monitor, in real-time, operations to file systems, registries, application processes and threads, and OS kernels at the customer endpoint. The systems maintain compute components affected by the operation in a quarantine state. The systems then attempt to establish trust in the affected compute components (e.g., by applying rule-based policies). The systems remove the affected compute components from the quarantine state, if trust of the one or more affected compute components is established. The systems execute callback routines to mitigate results of the operation, if trust of the affected compute components is not established.

Abstract: Disclosed herein are systems and methods that allow for secure access to websites and web-based applications and other resources available through the browser. Also described are systems and methods for invocation of a secure web container which may display data representative of a requesting party's application at a user's machine. The secure web container is invoked upon receipt of an API call from the requesting party. Thus, described in the present specification are systems and methods for constructing and destroying private, secure, browsing environments (a secure disposable web container), insulating the user and requesting parties from the threats associated with being online for the purposes of providing secure, policy-based interaction with a requesting party's online services.

Abstract: The implementation of application layer-based and transport-layer based security rules via a reverse proxy server chain is described. Each reverse proxy server in the chain is configured to perform a particular function with respect to client messages intended for a destination server and/or convey contextual information pertaining to the messages to a subsequent reverse proxy server in the chain. For instance, a first reverse proxy server in the chain is configured to include client-specific metadata in the transport layer of the message. A second reverse proxy server in the chain enforces transport layer-based policy rules based on the metadata. This enables the second reverse proxy server to manage transport layer connections on a client-by-client basis, thereby enabling the second reverse proxy server to block unauthorized clients, while maintaining the transport layer connections for authorized clients. A third reverse proxy server in the chain enforces application layer-based policy rules.

Abstract: A computer-implemented method for protecting data on devices may include (i) identifying a device that is operated by a user and that comprises private data pertaining to the user, (ii) determining that stalkerware on the device is sending the private data to an unauthorized device not operated by the user, (iii) requesting, in response to determining that the stalkerware is sending the private data to the unauthorized device, that the user select at least one safety plan step from a set of safety plan options, and (iv) modifying, at least in part based on the safety plan step selected by the user, outgoing data sent by the stalkerware to the unauthorized device. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: Implementations of the present disclosure include providing a graph that is representative of an enterprise network and includes nodes and edges, a set of nodes representing assets within the enterprise network, each edge representing a lateral movement path between assets, determining, for each asset, a contribution value indicating a contribution of an asset, determining lateral movements paths between a first asset and a second asset, providing a lateral movement path value representative of a difficulty in traversing a respective lateral movement path, identifying a set of remediations based on remediations defined for one or more vulnerabilities associated with issues identified for assets, each remediation mitigating a cyber-security risk within the enterprise network, and prioritizing the two or more remediations based on contribution values of assets, lateral movement path values of paths, and one of lateral movement complexity values of respective segments of paths and costs of respective remediation

Abstract: Systems and methods for assessing an application access risk are provided. An example method commences with collecting data concerning relationships between an application, one or more client devices, and one or more users in a computing environment. The method includes updating a graph database including nodes and edges. The nodes represent the application, the one or more client devices, and the one or more users and the edges represent relationships between the application, the one or more client devices, and the one or more users. The method continues with enriching the graph database by associating the nodes with metadata including information concerning the one or more users accessing the application from the one or more client devices. The method further includes analyzing the graph database to identify a subset of nodes used to access the application and displaying a graphical representation of the subset of nodes.

Abstract: A first permission allocated to a first identity may be identified. Permission usage information may be analyzed. The permission usage information may include permission usage history information and permission usage pattern data. An estimated probability of a future usage of the first permission by the first identity may be forecasted based, at least in part, on the permission usage information. A first recommendation relating to allocation of the first permission to the first identity may be determined based, at least in part, on the estimated probability. The first recommendation may be a recommendation for the first identity to retain the first permission or a recommendation to deallocate the first permission from the first identity. An indication of the first recommendation may be provided to a user.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable storage media for identifying accounts having shared credentials. In some implementations, a content management system can collect user login context data when a user logs in to or accesses a user account of the content management system. For example, the content management system can collect client device data, client application data, internet protocol (IP) address data, and/or other data from the user's device when the user logs in to the user account. The content management system can analyze the login context data to determine patterns that indicate that the user account login credentials are being shared among multiple users.

Abstract: An illustrative method includes identifying, based on an output of a machine learning model that receives data associated with an operation of a hardware component as an input, an anomaly in the data, determining that the anomaly is representative of an issue associated with the hardware component, and performing, based on the determining that the anomaly is representative of the issue associated with the hardware component, a remedial action that affects a performance of the operation of the hardware component.