Dell Products Inc.

Emc IP Holding Company LLC

Dell & Products L.p.

Stav Sapir

Jehuda Shemer

Maxim Balin

Naor Radami

Kfir Wolfson

Igor Dubrovsky

Amos Zamir

Roman Bober

Amihai Savir

Boris Shpilyuck

Bradley K Goodman

Joseph Caisse

Arieh Don

Ching-Yun Chao

Muzhar S Khokhar

Eric Joseph Bruno

Shoham Levy

Yair Yotam

Techniques are provided for access control using policy-based dynamic context evaluation. One method comprises obtaining an access request comprising a first attestation identifier that is based on an evaluation of a first set of context attributes, associated with the request and identified by evaluating a context policy. In response to obtaining the request: a second set of context attributes for evaluating the first attestation identifier may be dynamically determined by evaluating the context policy. Values for the second set of context attributes may be obtained to generate a second attestation identifier. The first attestation identifier and the second attestation identifier may be compared and access to the resource may be controlled based on a result of the comparison. The first attestation identifier may be generated by a context attestor and the comparison may be performed by a context enforcer.

Access control using policy-based dynamic context evaluation

Methods and systems for managing systems are disclosed. To manage the systems, backups of data used by the systems may be generated and stored for future use. To limit overhead for generation and storage of the backups, portions of data may be evaluated for relative importance using an automated evaluation process. The automated evaluation process may take into account entities involved in data access chains, access frequency, data location, and/or other factors. The resulting evaluations may be used to selectively deploy limited computing resources for backing up of different portions of data.

Edge computing-enhanced system for business priority-based resource allocation

Methods and systems for managing computing infrastructure compliance with standards are disclosed. The computing infrastructure may provide computer implemented services that may be at elevated risk if the computing infrastructure fails to comply with various standards such as security or redundancy standards. To manage compliance with standards, a cross-standard compliance coverage model may be used. The cross-standard compliance coverage model may use information regarding infrastructure components of the computing infrastructure to ascertain compliance with any number of standards. The compliance and conditions of the infrastructure may be used to identify security threats to which the infrastructure components are likely to be exposed.

System and method for identifying security threats based on standard compliance failures and infrastructure conditions

Methods and systems for managing data in a deployment comprising edge devices are disclosed. The data may include sensitive data. The sensitive data may be managed by embedding the sensitive data in digital content data in a steganographic manner. After embedding the sensitive data, the digital content data may be transmitted between edge devices through a data stream. In the transmission of the digital content data, the sensitive data may be imperceptible to monitoring by an unauthorized third-party. Because the sensitive data may be imperceptible in the transmission, the edge devices may securely share the sensitive data. Because the edge devices may securely share the sensitive data, computer implemented services may be improved.

Securing sensitive data in edge devices using steganography

Techniques are provided for inter-domain access using an identity provider. One method comprises receiving, by a first domain, a request from a device of a second domain, different than the first domain, that requires the first domain to perform an operation on the second domain; providing, by the first domain, in response to the received request, (i) an access identifier, (ii) a destination identifier of the first domain and (iii) a redirection instruction, wherein the redirection instruction redirects the device to an identity provider associated with the second domain to validate the device, and wherein the second domain, in response to the device being validated, generates an access token; receiving, by the first domain, from the second domain, using the destination identifier of the first domain, the access token and the access identifier; and performing, by the first domain, the operation on the second domain using the access token.

Inter-domain access using identity provider

Systems and methods for risk assessment of user accesses to data resources are described. In an illustrative, non-limiting embodiment, an Information Handling System (IHS) may include: a processor; and a memory coupled to the processor, where the memory includes program instructions store thereon that, upon execution by the processor, cause the IHS to: obtain a plurality of resource risk weights of a respective plurality of resources, and a plurality of access permissions of a user for the respective plurality of resources; and generate based, at least in part, on the plurality of resource risk weights and the plurality of access permissions of the user, a risk score for the user that represents a level of security impact of the user on the plurality of resources.

Systems and methods for risk assessment of user accesses to data resources

Methods and systems for securing blueprints are disclosed. A blueprint may be secured by requiring sufficient privilege to implement the blueprint. The sufficient privilege may be obtained through an analysis of permissions of a blueprint user and the blueprint authors. An analysis of the permissions of the blueprint user and the blueprint authors may include reviewing privileges of the blueprint user and the blueprint authors. When the sufficient privilege may be found for the blueprint user and the blueprint authors, use of the blueprint may be permitted on an edge device.

Securing blueprints for implementation in edge devices

Methods and systems for managing data in a system comprising edge devices and a data transfer bus is disclosed. The data may be managed by encrypting with homomorphic encryption and storing the data in edge devices. The edge devices may be stored in a physically insecure locations and maintain encryption of the data between edge devices. The data that is stored and in an encrypted state may include personally identifiable information. Maintaining encryption of the personally identifiable information between edge devices may prevent exposure to memory of the edge devices. Preventing exposure to memory of the personally identifiable identification may prevent a likelihood of a malicious attack and/or malware from finding the personally identifiable information if the malicious attack and/or malware may monitor memory of the edge devices.

Managing access to sensitive information

An information handling system includes a memory and a processor. The memory stores a compliance node environment. The processor creates the compliance node environment. In response to reception of a compliance update, the processor stores the compliance update. Based on the compliance update, the processors determine a first compliance coverage for a sub-domain of a compliance type in the compliance node environment. Based on the first compliance coverage for the sub-domain, the processors determine a second complete coverage for the compliance type associated with the sub-domain.

Dynamic cross-standard compliance coverage

An air-gapped computer receives, from a simplex communication input device, an encoded message communicated by a simplex communication output device. The air-gapped computer system can use a private key to decrypt an encrypted message which was encrypted by a corresponding public key. The air-gapped computer system decodes the encoded message. The air-gapped computer system verifies that the decoded message indicates that a required number of approvers have approved of a user executing a command. The air-gapped computer system extracts the approved command from the decoded message. The air-gapped computer system enables execution of the command by executing the command, or by providing the user with an access token which enables the user to physically access the air-gapped computer system and execute the command.

Executing commands on air-gapped computer systems

Methods and systems for managing data processing systems that provide computer-implemented services are disclosed. A data processing system (e.g., device) may include and depend on the operation of its hardware and/or software components in order to provide the computer-implemented services. To manage the operation of a device, a device manager may obtain log data (e.g., sequences of log messages) for the components of the device that reflect the operational activity of the device and/or its components. The log data may be analyzed automatically (e.g., in real-time), using a repository of known log data sequences, to identify operational issues and/or corresponding responses to the operational issues. The responses may include compensatory and/or correctional actions for remediation of the operational issues. The automated methods may provide an efficient and cost-effective method for managing device operational issues that may reduce the likelihood of the device becoming impaired and/or interruptions in the computer-implemented services.

Managing operational functionality of far edge devices using log data

Methods and systems for managing computing infrastructure compliance with standards are disclosed. The computing infrastructure may provide computer implemented services that may be at elevated risk if the computing infrastructure fails to comply with various standards such as security or redundancy standards. To manage compliance with standards, a cross-standard compliance coverage model may be used. The cross-standard compliance coverage model may use information regarding infrastructure components of the computing infrastructure to ascertain compliance with any number of standards. The information and risk tolerance may be used to identify a risk profile presented by computing infrastructure.

System and method for quantification of standard compliance and risk tolerance to select remediation

A system can identify, by a control plane, that a base image has been registered to a first registry that is stored outside of the computing cluster. The system can identify, by the control plane, a trust bundle that corresponds to the base image. The system can send, by the control plane and to a secure pipeline that operates outside of the control plane, a message to update the base image. The system can create, by the secure pipeline, an updated image based on the base image and the trust bundle. The system can send, by the secure pipeline, the updated image to the control plane. The system can store, by the control plane, the updated image in a local registry that is stored on the computing cluster.

Securing serverless computing workloads in a cold start

Methods and systems for managing secrets are disclosed. To manage secrets, backups of the secrets may be obtained to facilitate future recoveries of the secrets. While backed up, the secrets may be protected with a security model. The security model may prescribe how decryption keys are maintained, and how various copies of the backed up secrets are to be separated from the decryption keys for encrypted copies of the secrets. When access to a secret is lost, a recovery may be performed using a corresponding encrypted backup of the secret.

Secret management in distributed systems using passphrases

One example method includes performing a filtering process that identifies one or more candidate hosts for scheduling of a pod, wherein the candidacy of a host is determined based in part upon an association rule, generating an overall host score for each of the candidate hosts, and scheduling the pod to one of the candidate hosts based on the overall host score of that candidate host. A host risk score and/or pod risk score may be used in the generating of the overall host score.

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Beer Sheva, Israel

Stav Sapir