30 results about "It assets" patented technology

The invention relates to the technical field of informatization processing, and provides an IT asset intelligent management system and an implementation method thereof, and the system comprises an asset discovery subsystem which outputs a standardized asset list through a feature comparison and deduplication fusion program; the unified modeling subsystem forms an asset topological graph by processing association and dependence between information technology assets; the intelligent analysis and prediction subsystem outputs insight results and prediction indexes about resource capacity prediction, anomaly detection, cost optimization suggestions, risk trends and the like; the life cycle management subsystem drives an automatic operation and maintenance workflow through a strategy engine to realize closed-loop management of the information technology asset state; the security and compliance subsystem generates an alarm, a repair suggestion or executes an automated repair policy. According to the invention, intelligence, automation and safety compliance of information technology asset management are realized, and the efficiency and reliability of information technology operation, maintenance and management are significantly improved.

The invention discloses a collection, analysis and utilization linkage method for the full life cycle of vulnerability intelligence, which comprises the following steps: respectively acquiring original vulnerability intelligence of a plurality of heterogeneous data sources, and carrying out standardization processing on the original vulnerability intelligence to obtain vulnerability description information; constructing an asset knowledge graph, wherein the asset knowledge graph is used for representing IT asset objects in the enterprise and dependency and deployment relationships among the IT asset objects; performing graph traversal query on the vulnerability description information based on an asset knowledge graph, and identifying an affected asset list affected by vulnerabilities; and according to a preset response strategy, generating a safety response instruction from the affected asset list and sending the safety response instruction to the safety protection system. According to the method, the asset knowledge graph is constructed and the multi-source vulnerability information is subjected to standardization and mapping correlation analysis, so that the accurate and rapid identification of the affected assets of the power system and the automatic response strategy generation are realized, and the efficiency and the accuracy of the vulnerability management of the key information infrastructure of the power grid are effectively improved.

Techniques are disclosed for predicting cybersecurity vulnerabilities automatically in IT assets / targets based on known vulnerabilities of various available technologies / products. This is accomplished by loading and linking one or more ontologies in a graph database containing vulnerability information about the technologies. The assets / targets preferably belong to a bug-bounty program. An optional discovery tool maps the attack surface of each target. A profiler collects the various technologies or traits used by the target and links them to the target. Then the graph database is queried to predict the cybersecurity vulnerabilities associated with the traits and consequently with the targets. The system is preferably implemented with a service-oriented architecture (SOA) so feedback / predictions can be provided to the user in near / real-time.

The utility model discloses an electronic computer and an asset information management system thereof. The electronic computer comprises an electronic ink small screen module, a main display screen module, a mainboard and a power supply module, the power supply module is in electric signal connection with the mainboard and provides working power for the electronic computer; the main display screen module is in electric signal connection with the main board and is used for operation display of the electronic computer; the electronic ink small screen module is electrically connected with the power supply module or the mainboard and is powered by the power supply module or the mainboard; the electronic ink small screen module is arranged on the back surface of the main display screen; the electronic ink small screen module is used for displaying ownership information of the electronic computer. The electronic computer with the small electronic ink screen is convenient to identify and manage.

The invention relates to the technical field of IT asset management, in particular to an IT asset operation management method and system based on artificial intelligence technology application, and the method comprises the following steps: collecting asset change data in an operation and maintenance process and operation performance data of terminal equipment in real time through a system interface; and carrying out cross-system association analysis on the data by utilizing an asset management agent. According to the invention, the health degree of the terminal equipment is evaluated based on the performance index baseline to generate a maintenance or scrapping decision, the idle time of the terminal is monitored, hierarchical power control is executed in combination with the user permission attribute, and the to-be-audited file change and circulation transaction document is automatically created in the asset management system according to the analysis result. By introducing an intelligent agent technology, a data barrier between an operation and maintenance system and an asset system is broken through, conversion from passive recording to active sensing is realized, and the problems of asset file lagging, unreasonable configuration and power resource waste in a traditional mode are solved.

The invention discloses a bug fixing method and device for IT assets and a storage medium, and belongs to the technical field of network security. The vulnerability repairing method comprises the following steps: based on an attack graph, determining shortest attack step numbers corresponding to a plurality of shortest attack paths for attacking a plurality of vulnerability IT asset nodes from a preset IT asset node attack starting point, a target attack step weight corresponding to a target attack step, and a target asset importance degree value of a target IT asset node; according to the plurality of shortest attack step numbers, the plurality of target attack step weights and the plurality of target asset importance degree values, determining a dynamic risk degree value corresponding to a vulnerability in each vulnerability IT asset node; sorting the dynamic risk degree values corresponding to the vulnerabilities in the plurality of vulnerability IT asset nodes in a descending order to obtain a vulnerability repair sequence; and according to the vulnerability repairing sequence, repairing the vulnerabilities in the plurality of vulnerability IT asset nodes in sequence. The method and the device are used for improving information security of IT assets.

Computer-implemented systems and methods monitor and control entitlements for IT assets in an enterprises system based on separation of duty conflict rules. The system may determine whether existing entitlements or a requested entitlement violates the conflict rules and perform an entitlement conflict remediation action. The entitlement conflict remediation action may include automatically revoking one or more entitlements or temporally approving one or more entitlements that violate the conflict rules.

This invention relates to an automatic IT asset discovery method based on multi-protocol fusion and incremental change detection. Compared with existing technologies, it solves the shortcomings of existing IT asset discovery methods, such as incomplete protocol coverage, low scanning efficiency, improper handling of multi-source data conflicts, and high update overhead, resulting in low asset discovery coverage, low accuracy, and synchronization delays. This invention includes the following steps: building a multi-protocol parallel scanning framework; intelligent scheduling of protocol priorities; multi-dimensional device fingerprint extraction; confidence-weighted fusion deduplication; incremental change detection; and intelligent identification of asset model classification. This invention introduces an intelligent asset classification mechanism based on a machine learning model to achieve automatic identification and intelligent management of asset types, realizing high coverage, high accuracy, low overhead, and low latency automatic discovery and management of IT assets.

An apparatus comprises at least one processing device configured to monitor for designated system crash event types and, responsive to detecting at least one designated system crash event type on a first information technology (IT) asset, to copy system crash log files from the first IT asset and to process the copied system crash log files to generate a first crash dump analysis data structure associated with the first IT asset. The at least one processing device is further configured to generate, based at least in part on the first crash dump analysis data structure and additional crash dump analysis data structures associated with additional IT assets, a system crash root cause analysis data structure. The at least one processing device is further configured to apply remedial actions, selected based at least in part on the system crash root cause analysis data structure, to a plurality of IT assets.

The application relates to a blockchain-based power grid IT asset data management method and device. Based on a data governance platform, the extraction of IT asset data of multiple business systems is realized, and ring signature generation is carried out. When the IT asset data is chained, the blockchain platform responds to the data chaining request of the data governance platform, verifies the ring signature, and when the verification is passed, the blockchain platform and the data governance platform are linked, and the IT asset data is chained and stored. In the signature verification mode before chaining, the data is chained based on the blockchain between the blockchain platform and the data governance platform. The ring label is generated through the shorthand selection, which can protect user privacy and prevent data tampering. The efficiency of the ring signature in this mode can be guaranteed, which is beneficial to realizing the data governance efficiency of massive asset data management in the power grid scenario.

A system and method for continuous and combinatorial analysis of digital assets integrated into a traditional financial asset management system is disclosed. The system and methods allow enterprises to integrate traditional asset management with newer distributed transaction ledgers (DTLs), i.e., blockchains. The platform's infrastructure couples traditional enterprise ledger systems with digital asset transaction systems thereby equipping a traditional enterprise with the ability to integrate digital assets into their traditional platforms giving them the ability to evaluate, buy, hold, monitor, and sell their assets, both digital and traditional using state of the art DTLs and asset tokenization.

The invention discloses a security check method and device for an IT architecture, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence or other related technical fields, and the method comprises the steps: collecting multi-source data of a target IT architecture, and employing a knowledge graph agent to analyze the multi-source data to construct an IT knowledge graph; adopting an inspection rule construction agent to generate a hierarchical inspection rule based on the IT knowledge graph, and dynamically configuring a priority for the hierarchical inspection rule; and based on the hierarchical check rule, the priority of the hierarchical check rule and the optimization target, adopting a reinforcement learning agent to generate a differential check strategy, and executing the differential check strategy to perform security check on the IT assets. According to the method and the device, the technical problems of low efficiency and low checking result accuracy of a way of carrying out IT architecture security checking based on manual and static rules in related technologies are solved.

We provide the system. [Solution] Means of obtaining information from users regarding their risk tolerance and asset goals, A means of collecting and analyzing market data in real time, A means of determining investment strategies using machine learning models based on collected data, A means for automatically adjusting a resource portfolio based on a determined investment strategy, and generating and executing buy and sell orders, A means of notifying users of the status of their asset portfolio and providing feedback via smart devices, A system that includes this.

An apparatus comprises a processing device configured to obtain monitoring data characterizing resource utilization by information technology (IT) assets having resources assigned from a shared resource pool, to select features for use in modeling predicted resource utilization by the IT assets in future time periods, to generate predictions of resource utilization by the IT assets in each of the future time periods, and to determine whether the predicted resource utilization by a given IT asset exhibits at least a threshold difference from its current resource allocation. The processing device is further configured, response to the determination, to proactively adjust resource allocation to the given IT asset from the shared resource pool for the given future time period based at least in part on the predicted resource utilization, for the given future time period, by other ones of the IT assets having resources assigned from the shared resource pool.

A system and method for assuring digital asset integrity when integrating digital assets into a traditional financial asset management system is disclosed. The system and methods allow enterprises to integrate traditional asset management with newer distributed transaction ledgers (DTLs), i.e., blockchains. The platform's infrastructure couples traditional enterprise ledger systems with digital asset transaction systems thereby equipping a traditional enterprise with the ability to integrate digital assets into their traditional platforms giving them the ability to evaluate, buy, hold, monitor, and sell their assets, both digital and traditional using state of the art DTLs and asset tokenization by ensuring asset integrity.

The application relates to an IT asset generation and management method based on multidimensional indications, and belongs to the technical field of asset generation and management. The method comprises the following steps: acquiring original data, performing completion after processing, writing into a CMDB digital base, and generating an initial asset entity; after processing the original data, a health degree score is calculated by using a weighted fusion formula, the asset state is marked according to the size of the health degree score, and different steps are entered; the SLA residual time urgency and the KPI weight score are calculated to form a personnel load index, the three values are bound with the asset entity to form a unified asset image; a correlation mapping rule engine is constructed, technical indications and business indications are fused and analyzed to obtain a trigger score, different steps are entered according to the size of the trigger score; a high-priority predictive maintenance work order and a solution with the highest matching degree are generated, and the high-priority predictive maintenance work order and the solution with the highest matching degree are sent to the most suitable personnel.

Systems and methods for buying, selling, and financing enterprise IT infrastructure capacity on a decentralized and distributed marketplace platform are disclosed. In one embodiment, the decentralized and distributed IT marketplace platform is based on the blockchain technology. In one embodiment, a blockchain-based IT marketplace platform provides a decentralized supply chain for IT assets and financial services and establishes a self-regulating and trustless marketplace of connected consumers, producers, and financiers. In one embodiment, the blockchain-based IT marketplace platform enables developing, executing, financing and monetizing modern, cloud native, enterprise compute infrastructure and software applications.

An apparatus comprises at least one processing device configured to determine, for a first set of artificial intelligence (AI) workloads, a first set of metrics characterizing AI models utilized by the first set of AI workloads and a second set of metrics characterizing power consumption associated with execution of the first set of AI workloads. The at least one processing device is also configured to generate, based on the first and second sets of metrics, a predictive model configured for generating power consumption predictions for a second set of AI workloads, to utilize the predictive model to generate, for a given one of the second set of AI workloads, predicted power consumption associated with execution of the given AI workload on one or more information technology (IT) assets, and to control execution of the given AI workload on a given IT asset based on the predicted power consumption.

The application relates to the technical field of information processing, and provides an IT asset intelligent management system and an implementation method thereof, the system comprising: an asset discovery subsystem which outputs a standardized asset list through feature comparison and deduplication fusion programs; a unified modeling subsystem which forms an asset topology graph by processing the correlation and dependence among information technology assets; an intelligent analysis and prediction subsystem which outputs insight results and prediction indexes about resource capacity prediction, anomaly detection, cost optimization suggestions and risk trends; a life cycle management subsystem which realizes closed-loop management of information technology asset states by driving an automated operation workflow through a strategy engine; and a security and compliance subsystem which generates alarms, repair suggestions or executes automatic repair strategies.The application realizes the intelligentization, automation and security compliance of information technology asset management, and significantly improves the efficiency and reliability of information technology operation and management.

A method and system for integrating an enterprise governance system and a traditional asset management system with newer distributed transaction ledgers (DTLs), i.e., blockchains is described. The platform's infrastructure and interface couples traditional enterprise ledger systems with digital asset transaction systems thereby equipping a traditional enterprise with the ability to integrate digital assets into their traditional platforms giving them the ability to evaluate, buy, hold, monitor, and sell their assets, both digital and traditional using state of the art DTLs and asset tokenization.

A platform that enterprises can use to integrate traditional asset management with newer distributed transaction ledgers (DTLs), i.e., blockchains is described. The platform's infrastructure couples traditional enterprise ledger systems with digital asset transaction systems thereby equipping a traditional enterprise with the ability to integrate digital assets into their traditional platforms giving them the ability to evaluate, buy, hold, monitor, and sell their assets, both digital and traditional using state of the art DTLs and asset tokenization.

A risk classification processing circuit is configured to classify one or more subsets of network elements forming a given managed information technology network. The classification is based on weight values associated with respective ones of a set of classification decision indicators. A risk mitigation processing circuit is configured to cause risk mitigation acts to be carried out on one or more of the network elements forming the given managed information technology network. The risk mitigation processing circuit includes an allocation circuit configured to make processing resources available to process the risk mitigation acts based on the classification by the risk classification processing circuit.

IT asset discovery services and external attack surface management (or EASM) services identify computers, servers, smartphones, and other devices that are exposed to the public Internet. Any device that can connect to the public Internet may be vulnerable to cybersecurity attacks. The services identify a device exposed to the public Internet by generating an asset inventory discovery graph. Graphical nodes describe asset inventory investigative records, and edges between the graphical nodes describe asset inventory investigative methods. The nodes thus capture asset investigatory details (such as website URL, IP addresses, and HTML content), and the edges capture how the asset investigatory details were discovered (such as Internet searches, DNS records, and WHOIS records). The services use the asset inventory discovery graph to identify an entity's Internet-facing assets.

The application relates to the technical field of IT asset intelligent supervision platforms, and discloses an IT asset intelligent supervision platform based on a network of numbers, which comprises a data acquisition module, a data fusion module, an analysis module, a resource scheduling module and a self-healing module; the data acquisition module is used for deploying edge computing nodes on each IT asset, collecting equipment state data, network traffic data and user behavior data; a data preprocessing module is used for preliminarily cleaning and formatting the data to generate a preprocessed data packet. The IT asset intelligent supervision platform based on the network of numbers collects the equipment state data, the network traffic data and the user behavior data by deploying the edge computing nodes on each IT asset, realizes comprehensive monitoring of the IT assets, reduces the delay of data transmission in the deployment mode, improves the data collection efficiency, simultaneously reduces the burden of the central server, makes the whole system more efficient and stable, and has the advantages of high efficiency, high stability, high reliability, high accuracy, high safety, high security, high convenience, high intelligence, high compatibility, high expansibility, high stability, high reliability, high accuracy, high safety, high security, high convenience, high intelligence, high compatibility, high expansibility, high stability, high reliability, high accuracy, high safety, high security, high convenience, high intelligence, high compatibility, high expansibility, high stability, high reliability, high accuracy, high safety, high security, high convenience, high intelligence, high compatibility, high expansibility, high stability, high reliability, high accuracy, high safety, high security, high convenience, high intelligence, high compatibility, high expansibility, high stability, high reliability, high accuracy, high safety, high security, high convenience, high intelligence, high compatibility, high expansibility, high stability, high reliability, high accuracy, high safety, high security, high convenience, high intelligence, high compatibility, high expansibility, high stability, high reliability, high accuracy, high safety, high security, high convenience, high intelligence, high compatibility, high expansibility, high stability, high reliability, high accuracy

An apparatus comprises at least one processing device configured to monitor for designated system crash event types and, responsive to detecting at least one designated system crash event type on a first information technology (IT) asset, to copy system crash log files from the first IT asset and to process the copied system crash log files to generate a first crash dump analysis data structure associated with the first IT asset. The at least one processing device is further configured to generate, based at least in part on the first crash dump analysis data structure and additional crash dump analysis data structures associated with additional IT assets, a system crash root cause analysis data structure. The at least one processing device is further configured to apply remedial actions, selected based at least in part on the system crash root cause analysis data structure, to a plurality of IT assets.

The invention discloses a dynamic visualization system and method for a certificate asset relation topology. The system comprises a data input layer, a relation discovery module, a topology calculation engine, a visual rendering module, an interaction control module and a real-time monitoring module. The data input layer collects certificates, IT assets and configuration data; the relationship discovery module adopts a depth-first search algorithm to identify relationships of deployment, dependency, protection and the like of certificates and IT assets, and stores the relationships after triple verification of domain name matching, configuration analysis and network detection; the topology calculation engine realizes layout optimization based on an improved force-oriented layout algorithm; the visual rendering module adopts WebGLGPU acceleration and LOD technology to distinguish asset types and relationships through visual coding; the interaction control module provides interaction such as dragging and zooming. According to the method, dynamic visualization of the certificate and IT asset relationship is realized, the management efficiency is improved, the certificate change risk is reduced, the large-scale data visualization performance is improved, and the method is suitable for certificate asset relationship management of a complex IT environment of an enterprise.

A system and method for integrating a tokenized digital asset into a traditional financial asset management system is disclosed. The system and methods allow enterprises to value and integrate tokenized digital assets into traditional asset ledgers. The platform's infrastructure couples traditional enterprise ledger systems with digital asset transaction systems thereby equipping a traditional enterprise with the ability to integrate digital assets into their traditional platforms giving them the ability to evaluate, buy, hold, monitor, and sell their assets, both digital and traditional using state of the art DTLs and asset tokenization.

The invention relates to the technical field of asset management, in particular to an asset management method and system based on an AI large model and IT asset data, and the system comprises a data feature unified processing module, an AI large model integration and training module and an asset management module. The method comprises the following steps: acquiring original data from a plurality of IT asset data sources, performing mapping conversion on structured data in the original data, performing data enhancement on unstructured data in the original data, and writing the unstructured data into an asset data feature set; inputting the asset data feature set into an adjusted AI large model for analysis, and generating a management suggestion list; and performing multi-dimensional early warning judgment based on the management suggestion list, calling the adjusted AI large model to generate structured asset early warning information according to an early warning signal triggered by a judgment result, and outputting a management work order, thereby solving the problem of poor comprehensiveness of asset management at present.

This invention relates to the field of knowledge graph technology, specifically to a computer allocation management system based on job templates. The system includes a resource dependency graph construction module, used to establish connections between job nodes, project task nodes, software tool nodes, and hardware attribute nodes based on employee job identifiers, project task lists, software tool lists, and hardware configuration parameters. In this invention, a lifecycle synchronization coefficient is calculated by comparing the system with the project execution cycle, thus incorporating a time dimension into allocation decisions. This ensures that the allocated equipment not only meets current performance requirements but also that its effective service period covers the critical task cycle, reducing the operational risks and downtime costs of forced replacements due to outdated equipment or software in the mid-project phase. Finally, by combining dynamic templates and synchronization coefficients, the availability of inventory equipment is determined and an intelligent allocation plan is generated, improving the accuracy of IT asset management.

To take inventory of IT assets, such as a web site to be managed, and answer the grounds for determination regarding a result thereof in a natural language.SOLUTION: An IT asset inventory system 1 which identifies IT assets to be managed in a management organization includes: an IT asset search unit 12 which collects information on IT assets which are candidates to be managed, based on the content of target company information 15 designated by a user, as information related to the management organization; and a determination unit 13 which obtains an answer by inputting a prompt to a generative AI 3, the prompt including an instruction statement to give an answer about the content of the target IT assets, a designation of the information related to the management organization, whether the target IT assets relate to the management organization or not, and the grounds for the determination, for each of the IT assets of the asset candidates 17 collected by the IT asset search unit 12.SELECTED DRAWING: Figure 1