51 results about "It assets" patented technology

The invention relates to the technical field of vulnerability management, and discloses a vulnerability management method and system based on an adaptive security platform. The method comprises the following steps: constructing an asset information database based on all IT assets in an organization network environment, and calculating a time sensitivity parameter set; based on the asset information database and the time sensitivity parameter set, executing aperiodic time stratification vulnerability data collection and dynamic self-shaping processing to obtain a standardized structure vulnerability data set; performing vulnerability utilization chain topology analysis through the bidirectional adversarial neural network model to generate a vulnerability risk score and a vulnerability association relationship graph; and generating vulnerability risk decision information according to the vulnerability risk score and the vulnerability association relationship graph, and performing constraint perception adaptive repair arrangement based on the vulnerability risk decision information to generate an optimal vulnerability repair scheme. The vulnerability discovery process is more efficient and accurate, the repair success rate is improved, the service interruption time is shortened, and continuous optimization of the repair process is achieved.

The invention discloses an IT asset fault propagation prediction method and system based on dynamic evolution of a knowledge graph, and relates to the technical field of cloud computing and large-scale IT operation and maintenance management. Through an asynchronous message bus and a logic clock, the knowledge graph is updated immediately when resources are abnormal and a scheduling event occurs; the knowledge graph uniformly integrates physical connection, logic dependence and multi-copy redundancy, so that the cross-machine-room asset relationship is clear at a glance. And then, based on a weighted logistic regression model, node features and relation weights in the knowledge graph are fused, the node fault probability is accurately calculated, the limitation of traditional single-dimensional analysis is solved, self-healing operation is supported, end-to-end intelligent operation and maintenance from fault detection to prediction and early warning to closed-loop self-healing are realized, and the fault detection efficiency is improved. The problems that in a cross-machine-room and multi-live-site environment, resource topology is split, real-time state and alarm information cannot be fused with an asset dependence model, and large-scale real-time deployment of a traditional single-dimensional fault analysis and high-complexity prediction algorithm is difficult are effectively solved.

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 resource scheduling method and device based on IT asset health assessment, a medium and equipment, and the method comprises the steps: obtaining resource use data, network connection data and abnormal information data corresponding to each node in a distributed system, and carrying out the health degree scoring calculation based on the resource use data, the network connection data and the abnormal information data, obtaining a health degree score corresponding to each node; obtaining the priority of the service adapted to each node, and performing calculation based on the health degree score corresponding to each node and the priority of the adapted service to obtain a comprehensive evaluation value corresponding to each node; and scheduling resources based on the comprehensive evaluation value corresponding to each node. According to the method, the comprehensive evaluation value of multi-modal fusion is calculated, resource scheduling is carried out according to the comprehensive evaluation value, comprehensive and real-time comprehensive evaluation is carried out on the health condition of IT assets, corresponding scheduling processing is carried out according to the comprehensive evaluation condition, and the stability and reliability of the system are remarkably 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.

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 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.

Methods and systems described herein provide for protecting user information in an overlay service. Protecting user information may include redacting personally identifiable information (PII) from information that may be exposed to third parties. Additionally, protecting user information may include opening a second account on behalf of the user using a plurality of unique identifiers in lieu of information identifying the user. This protects users' identities and privacy as their assets are transferred between various institutions.

1. Name of the Design Product: Graphical User Interface of the Home Page of Personal Online Banking for Computers. 2. Use of the Design Product: For human-computer interaction and display. 3. Design Key Points of the Design Product: Lies in the interface content of the graphical user interface that displays information. 4. Picture or Photograph that Best Illustrates the Design Key Points: Front View. 5. The terminal is of an existing design, so the rear view, top view, bottom view, left view, and right view are omitted. 6. Use of the Graphical User Interface: Home Page of Personal Online Banking of Bank of Hangzhou. 7. Human-Computer Interaction Method of the Graphical User Interface: The front view shows the state after logging in to the home page of Personal Online Banking of Bank of Hangzhou. At the top are the company logo, global search, switch to accessible version, and user level entry. The first-level menus of personal online banking are arranged, and there are buttons to support the expansion and collapse of quick access. The quick menu entry and its custom functions are displayed; Bank announcements are shown, and support for viewing more is provided; In this view, the My Assets module (total assets, current money, and investment) and the My Bank Cards module (last four digits of the card, balance, support for displaying hidden amounts, more entries, and adding cards) are shown; On the right is a floating pop-up window that can be collapsed (customer service assistant, feedback, driver installation, QR code display, and pinning function). Changing state diagram 1 is the changing diagram of the main view. After clicking on "My Assets" to view liabilities, the display will switch to the liability content (display liability entry, credit cards and loans, and switch back to "My Assets"); after hovering the avatar in the upper right corner, the membership level entry, last login time and logout will appear; the common consulting function is fixedly suspended on the right; Changing state diagram 2 is a slide down from changing state diagram 1, showing a recommended list of financial products (including product attributes such as financial product name, annualized rate of return, number of holding days, risk level and transaction entry), where the first row in the module shows the effect of hovering the mouse over the list; the common consulting function is fixedly suspended on the right; Changing state diagram 3 is a slide down from changing state diagram 2, showing a recommended list of fund products (including attributes such as annualized rate of return and ranking of fund products and transaction entry), and providing a list paging function, where the first column in the module shows the effect of hovering the mouse over the list ; Common consulting functions are fixedly suspended on the right; Change state diagram 4 is a slide down from change state diagram 3, showing a list of deposit products (including deposit product name, yield rate, term and other attributes and transaction entry), and providing list paging function; Common consulting functions are fixedly suspended on the right; Change state diagram 5 is a slide down from change state diagram 4, showing a list of insurance products (including insurance product name and minimum investment amount and other product attributes and transaction entry), and providing list paging function; The last module of the homepage shows the entrance to the financial security knowledge classroom, and provides modules with different security functions; Common consulting functions are fixedly suspended on the right; Change state diagram 6 is a slide down from change state diagram 5, showing the last module of the homepage - the entrance to the financial security knowledge classroom and the entrance to different security functions; The bottom of the page contains contact us, about us, complaints and suggestions, help center, aging-friendly logo, deposit logo and safety education column logo, etc. The reference figures corresponding to the main view and the changing state figures 1 to 6 are the use state reference figures 1 to 7 respectively.

It discovers and identifies IT assets to be managed within a company or organization, and collects management information for these IT assets accurately and efficiently. The system has a management target specification unit 11 that collects management information on IT assets 2 and specifies those that should be managed. The management target specification unit 11 creates a list of IT assets 2 based on at least one of URL candidates created based on a domain list 6 and URL candidates identified from interviews with asset managers 4, accepts input of management information from asset managers 4 for each URL in the list, and has an LLM 5 determine whether the IT asset 2 is a management target.

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 includes at least one processing device configured to receive, at a gateway device deployed in an information technology (IT) infrastructure environment from a given IT asset, a request for software code. The processing device is also configured to download the requested software code from a backend server responsive to determining that it is not cached locally in a software cache of the gateway device, and to provide the requested software code to the given IT asset. The processing device is further configured to determine, utilizing one or more machine learning algorithms, a priority of the requested software code relative to other software code cached locally in the software cache. The processing device is further configured to implement a cache replacement algorithm for the software cache of the gateway device based at least in part on the determined priority of the requested software code.

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.

The invention relates to the technical field of information, in particular to a dynamic adjustment method for self-learning intelligent monitoring, which adopts a self-learning algorithm to perform deep analysis on operation data of IT assets, automatically identifies abnormal modes and potential risks, can realize dynamic optimization of monitoring rules without manual intervention, and can realize dynamic adjustment of the IT assets according to an analysis result of the self-learning algorithm. According to the method, parameters such as the acquisition frequency and the alarm threshold value of the monitoring system can be automatically adjusted to adapt to monitoring requirements in different scenes, the running state of large-scale IT assets is monitored in real time and dynamically adjusted through a self-learning algorithm, the breadth, the speed and the precision of the monitoring system are improved, and the monitoring efficiency is improved. And efficient guarantee of network security and information system operation is realized.

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 invention discloses a method, a system and equipment for checking IT assets through personnel change, and a computer storage medium, and relates to the technical field of asset security. The method comprises the following steps: acquiring personnel information and affiliation information of an OA system based on a preset period; the personnel information comprises an on-duty state and a job number, and the affiliation information comprises an affiliated department; when at least one of the in-service state and the department to which the in-service state belongs is changed, retrieving all related assets based on the job number and generating an asset list, and sending the asset list to an OA system; and after the OA system updates the asset responsible person, changing the responsibility attribution of all assets in the asset list and recording a log. According to the method, personnel change can be monitored, the asset ledger can be updated in time, and no master assets are avoided.

To provide an information processing device that can provide benefits in terms of both career and assets to a user who has needs regarding both career and assets. [Solution] The information processing device includes a first generation unit and a display control unit. The first generation unit generates personalized individualized information according to composite needs information that combines the user's needs related to their occupation and their assets. The first generation unit selects pairs of first link information and second link information from among a plurality of first link information related to occupational support and a plurality of second link information related to asset support based on the composite needs information, and generates the individualized information by constructing the individualized information using the selected pairs. The display control unit displays a website including the individualized information on the user's terminal.

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.