Abstract: A plant root management and protection system configured for embedding within a dug pit, the system comprising: a sidewall peripherally defining a receiving internal cavity and having (i) a top opening dimensioned to receive a root ball of a plant therethrough, and (ii) a bottom opening defined by a peripheral edge of the sidewall; and at least one root-guiding extension extending outwardly from the sidewall and perpendicularly to a longitudinal axis of the sidewall, wherein each of the at least one root-guiding extensions defines an open-ended hollow passageway in communication with the cavity; wherein, when embedded a dug pit, the longitudinal axis of the sidewall is upright and the top opening does not extend above surface level, and wherein at least a vertical portion of the sidewall ending with the peripheral edge is configured for entrenching in a bottom surface of the pit.

Abstract: A tool holder is disclosed, allowing it to be secured directly beneath a plasterer's hawk, for keeping tools close-by, preventing loss of time or inconvenience. The tool holder easily attaches to the plasterer's hawk with the handle of the hawk and allows the plasterer to insert and retrieve tools from any direction without looking away from their work. The tool holder is lightweight in design, using compression to help keep the tools squeezed in place, and making it easy to slide tools into and out of.

Abstract: A system and method for cybersecurity policy management. The method includes generating a first measurement based on at least one event which triggers a first cybersecurity policy, wherein the first measurement is defined with respect to at least one triggering of the first cybersecurity policy by the at least one event; generating a second cybersecurity policy based on the first cybersecurity policy and the first measurement; and applying the second cybersecurity policy on the at least one event.

Abstract: A system and method for preventing cloud identity misuse in a cloud computing environment is presented. The method includes deploying a runtime sensor on a workload in a cloud computing environment; detecting an event in a cloud log, the event including an identifier of the workload; associating a runtime process detected by the runtime sensor on the workload with the event detected in the cloud log; applying a policy on a combination of the event in the cloud log and a runtime event from the runtime sensor; and initiating a mitigation action in the cloud computing environment based on a result of applying the policy.

Abstract: A method, apparatus, and product comprising: obtaining a logical representation of a quantum program that comprises logical qubits and gate operations; converting the logical representation to a physical representation to be executed on a measurement-based quantum computer, said converting comprising: determining a segmentation of quantum sources into disjoint segments configured to generate consecutive layers of clusters of physical qubits separated by time delays; selecting for each segment an interleaving depth, said selecting comprises selecting a non-uniform distribution of interleaving depths between first and second disjoint segments; and allocating for each segment one or more logical qubits to be represented by the each segment; and synthesizing the quantum program according to the physical representation.

Abstract: A method for transaction conflict management, the method includes writing, by a transaction controller and to a given logical address within a logical address space supported by a storage system, defragmentation data related to a defragmentation process, the defragmentation data being overwritable; identifying, by transaction controller, a transaction conflict associated with the defragmentation process, and (b) one or more user transaction requests related to the given logical address; and resolving the transaction conflict based on (i) the defragmentation data being overwritable, (ii) a timing of the writing of the defragmentation data, and (iii) one or more timings of one or more user transaction operations in relation to the one or more user transaction requests.

Abstract: A leaf network switch in a machine learning system receives one or more first messages from one or more network devices, the one or more first messages corresponding to a machine learning operation. The leaf network switch determines one or more processing operations to be performed by the leaf network switch in connection with the one or more first messages. The leaf network switch performs the one or more processing operations, including generating a second message based on the one or more first messages, and transmitting the second message to another network switch. The leaf network switch receives a third message from the other network switch. The leaf switch replicates the third message to generate multiple instances of the third message, and transmits the multiple instances of the third message to respective network devices.

Abstract: A system and method for identifying cloud identity misuse based on run-time time data and static analysis is presented.

Abstract: A distributed routing system is provided for use in a communication network, wherein the distributed routing system includes at least one cluster comprising a plurality of cluster elements and characterized in that the cluster elements that are used for forwarding communication traffic from among the plurality of cluster elements are synchronized there-between to a single clock and then synchronized to an external communication element, such as a client clock. Optionally, all the cluster elements that are used for forward communication traffic, are configured to implement IEEE 1588 standard and/or Synchronous Ethernet (Sync-E).

Abstract: A system and method for cybersecurity policy management in a computing environment is presented. The method includes receiving a selection of a first cybersecurity policy of a digital security platform of a computing environment; applying the first cybersecurity policy to generate a first measurement; generating a second cybersecurity policy based on the first cybersecurity policy and a result of the first measurement; applying the second cybersecurity policy to generate a second measurement; generating a third cybersecurity policy based on a result of the second measurement and the second cybersecurity policy; and applying the third cybersecurity policy on the computing environment.

Abstract: A system and method for detecting cloud identity misuse in a cloud computing environment is presented. The method includes: deploying a runtime sensor on a workload in a cloud computing environment; continuously receiving data from the runtime sensor; generating an activity baseline based on the continuously received data, wherein the runtime sensor is configured to detect runtime processes on the workload; detecting an event in a cloud log, the event including an identifier of the workload; associating a runtime process detected by the runtime sensor on the workload with the event detected in the cloud log; and determining that the event is an anomalous event based on the generated activity baseline.

Abstract: A system and method for associating an event in a cloud computing log to a process running on a workload is presented. The method includes: configuring a workload deployed in a cloud computing environment to deploy thereon a sensor, the sensor configured to detect a runtime process on the workload, the runtime process utilizing an identity; detecting in a log of the cloud computing environment an event based on an identifier of the workload, the log including a plurality of events; inspecting a code object for a cybersecurity object, the code object utilized in deploying the workload in the cloud computing environment; associating the runtime process with the event based on an identifier of the workload and the cybersecurity object, wherein the cybersecurity object indicates the identity; and generating an enriched log including an identifier of the runtime process associated with the event and the cybersecurity object.

Abstract: Systems and methods for application performance management across one or more networks are disclosed. A system includes a plurality of geographically distributed computing devices executing one or more applications. A plurality of collectors are distributed across the one or more networks, each collector being positioned proximate a respective computing device. The collectors may sample, by each of the plurality of collectors, a plurality of trace events received from the applications executing on the computing devices proximate the collector. The collectors may retain in memory sampled trace events that meet a configurable attribute. The collectors may use probabilistic sets and tail-based sampling to determine root events and policies for identifying relevant traces. Benefits can be achieved in bandwidth savings, network cost and cyber security.

Abstract: A distributed routing system is provided for use in a communication network. The distributed routing system comprises a plurality of forwarding modules and a plurality of fabric modules. At least one counter located at at least one respective fabric module is configured to receive data relating to the number of packets being forwarded via physical and/or logical interfaces associated with at least two of the plurality of forwarding modules.

Abstract: A system and method for dynamically generating a compact cybersecurity policy based on an original policy is presented. The method includes receiving a cybersecurity policy in a first policy language, the first policy language including a first data format; determining a constraint of a second policy language; generating a context for a generative artificial intelligence (AI) based at least on the determined constraint; configuring the generative AI to generate a second cybersecurity policy in the second policy language based on the determined constraint and the generated context; and applying the generated second cybersecurity policy in a cybersecurity platform configured to utilize the second policy language.

Abstract: Systems and methods for application performance management across one or more networks are disclosed. A system includes a plurality of geographically distributed computing devices executing one or more applications. A plurality of collectors are distributed across the one or more networks, each collector being positioned proximate a respective computing device. The collectors may sample, by each of the plurality of collectors, a plurality of trace events received from the applications executing on the computing devices proximate the collector. The collectors may retain in memory sampled trace events that meet a configurable attribute. The collectors may use probabilistic sets and tail-based sampling to determine root events and policies for identifying relevant traces. Benefits can be achieved in bandwidth savings, network cost and cyber security.

Abstract: A system and method for detecting cloud identity misuse in a cloud computing environment is presented. The method includes: deploying a runtime sensor on a workload in a cloud computing environment; continuously receiving data from the runtime sensor; generating an activity baseline based on the continuously received data, wherein the runtime sensor is configured to detect runtime processes on the workload; detecting an event in a cloud log, the event including an identifier of the workload; associating a runtime process detected by the runtime sensor on the workload with the event detected in the cloud log; and determining that the event is an anomalous event based on the generated activity baseline.

Abstract: A system and method for preventing cloud identity misuse in a cloud computing environment is presented. The method includes: deploying a runtime sensor on a workload in a cloud computing environment; detecting an event in a cloud log, the event including an identifier of the workload; associating a runtime process detected by the runtime sensor on the workload with the event detected in the cloud log; generating an enriched event based on: the detected event, and an identifier of the associated runtime process; applying a policy on the enriched event; and initiating a mitigation action in the cloud computing environment based on a result of applying the policy on the enriched event.

Abstract: A system and method for associating an event in a cloud computing log to a process running on a workload is presented. The method includes: configuring a workload deployed in a cloud computing environment to deploy thereon a sensor, the sensor configured to detect a runtime process on the workload, the runtime process utilizing an identity; detecting in a log of the cloud computing environment an event based on an identifier of the workload, the log including a plurality of events; inspecting a code object for a cybersecurity object, the code object utilized in deploying the workload in the cloud computing environment; associating the runtime process with the event based on an identifier of the workload and the cybersecurity object, wherein the cybersecurity object indicates the identity; and generating an enriched log including an identifier of the runtime process associated with the event and the cybersecurity object.

Abstract: A system and method for identifying cloud identity misuse based on run-time time data and static analysis is presented. The method includes: detecting a workload in a cloud computing environment; configuring the workload to deploy a sensor configured to detect data respective of a runtime process executed on the workload; detecting an original disk associated with the workload; generating an inspectable disk based on the original disk; inspecting the inspectable disk for a cybersecurity object; detecting in a log of the cloud computing environment an event based on an identifier of the workload; inspecting a code object for an identity object, the code object utilized in deploying the workload in the cloud computing environment; associating the runtime process with the event based on: an identifier of the workload, the identity object, and the cybersecurity object; and generating an enriched log including an identifier of the runtime process.