2272 results about "Risk Control" patented technology

Risk mitigation and management is provided through an executive management application for the active management of operational risks, derived from exposure to factors that threaten strategic objectives related to operations, strategy, regulation and recording priorities. This system is based on a architecture that automates the Committee Of Sponsoring Organizations (COSO) framework for enterprise risk management, using the objective, risk, control and actions (ORCA) methodology to actively manage risk at the business unit level. This business process and feedback mechanism actively isolates, evaluates and escalates risks and controls in an interactive, proactive and dynamic manor. Workflow, alerts, messaging and roles and permission profiles route risk information to all relevant entities to ensure enterprise-wide visibility of, for example, a companies overall risk exposure.

The invention relates to a block chain-based credit investigation data sharing and trading system. The credit investigation data sharing and trading system comprises at least two P2P network nodes; each network node comprises an underlying block chain system and a credit investigation data sharing platform running in the underlying block chain system; and the credit investigation data sharing platform comprises a data sharing module, a data query trading module, a member management module and a block chain adaption layer. According to the credit investigation data sharing and trading system, a trusted credit investigation data sharing and trading platform is established by using a block chain technology; and special data sharing mechanism, data query mechanism and data trading mechanism are used, so that credit investigation data owners and credit investigation data demanders can be attracted to perform use, credit investigation data providers can perform data trading under the condition that data is protected, and credit investigation data queriers can obtain the credit investigation data to improve risk control levels of themselves.

A real-time, global system and method for controlling payments risk, liquidity risk and systemic risk arising between financial counterparties active in payments-based transactions. The system comprises: a plurality of User Host Applications for use by plurality of Users; a plurality of Third Party Host Applications for use by plurality of Third Parties; and a plurality of Payment Bank Host Applications for use by a plurality of Payment Banks operating a plurality of domestic payment systems. All host applications communicate via cryptographically secure sessions via private communications networks and/or the Internet global computer network. User and Payment Bank access is secured by digital certification. Each Payment Bank Host Application has a mechanism for processing payment messages, including payments instructions to be carried out in its domestic payments system on behalf of a plurality of account holders (including bank correspondents). In addition, each Payment Bank Host Application includes a filter process module for processing payments instructions, prior to being carried out by the domestic payment system. In the event of a counterparty payment failure or insolvency, the Filter Process Module enables instantaneous, automated suspension of all further payments to the counterparty in a multiplicity of chosen currencies on instruction from a Third Party, User or Payment Bank. The filter process module can also be instructed to override risk control parameters to enable payments to proceed regardless for identified transactions, counterparties or intermediaries. All applications improve the availability and timeliness of payments information. The reduction in payments risk and liquidity risk to predetermined tolerances reduces the likelihood of contingent defaults in the event of payment failure due to bank insolvency or other unforeseen event, and thereby reduces systemic risk to the global financial system.

Aspects of the disclosure include a first risk-transfer system, a second risk-transfer system, and an expert-system based circuit. The first risk-transfer system is configured to provide a first risk-transfer based on first risk-transfer parameters from a plurality of motor vehicles to the first risk-transfer system, and receive and store first payment parameters associated with risk exposures of the plurality of motor vehicles. The second risk-transfer system is configured to provide a second risk-transfer based on second risk-transfer parameters from the first risk-transfer system to the second risk-transfer system, and receive and store second payment parameters associated with risk exposures transferred to the first risk-transfer systems. The expert-system based circuit is configured to receive environmental parameters and operating parameters from the plurality of motor vehicles, adjust the first risk transfer parameters and correlated first payment transfer parameters, and adjust the second risk transfer parameters and correlated second payment transfer parameters.

A method and system for selecting an optimal set of management and risk controls for a given set of risks within a variable control budget. Specifically, optimization according to the present invention is defined using a method and system to calculate the greatest reduction in an organization's risk exposure with the minimum investment in cost and time as measured by the economic value added of the risk system change. Risk control models and management risk control models are client customized into a risk control system specifically addressing a clients applicable risks and their associated exposures. An operator is able to determine which risk control system maximizes available resources while also reducing an organization's total risk exposure.

A system, method and software product describe a customizable, index-based stock management methodology. This methodology provides for diversification and risk control of indexing combined with individual customization and active tax management. The system employing the methodology permits individual investors to invoke investment processes that track indexes to gain specified market exposure, control risk, and minimize costs while invoking individual preferences, current holdings, or social concerns

A platform that accommodates financial transactions and is accessible via mobile phone networks, Internet and traditional methods is linked to user defined credit and security matrixes. Credit risk tolerance factors consider the qualifications, characteristics, and profile of counterparties. Security risk tolerance factors consider the user's willingness to use a particular financial platform in an environment where abuse, fraud, theft, and other security factors are of concern. In both cases the user creates matrixes that describe risk tolerance and financial transactions must successfully pass through the filters designed by the user. The system can be used alone or linked to bank accounts, credit and debit accounts, etc. This provides a higher level of security and risk control in a mobile or Web-based environment. By giving customers way to control risk, use of new electronic methods of payment and other financial transactions can be accommodated in a more comfortable, secure, and efficient manner.

The invention relates to a credit-investigation data sharing and trading system based on a block chain. The credit-investigation data sharing and trading system comprises at least two P2P network nodes; the network nodes include a bottom block chain system and a credit-investigation data sharing platform operating on the bottom block chain system; and the credit-investigation data sharing platform comprises a data sharing module, a data evaluating module, a data inquiring and trading module and a block chain adaptation layer. According to the credit-investigation data sharing and trading system disclosed by the invention, a credible credit-investigation data sharing and trading platform is constructed by using a block chain technology; a specific data sharing mechanism, data inquiring mechanism, data trading mechanism and data evaluating mechanism are used; therefore, a credit-investigation data owner and a credit-investigation data demander can be attracted to use; therefore, a credit-investigation data provider can realize data transaction in a condition that data is protected; a credit-investigation data inquirer can obtain credit-investigation data; and thus, the risk control level can be completed.

A system provides audit opinions on an enterprise's organizations, processes, risks, and risk controls. The system first evaluates the enterprise's set of risk controls. The audit opinions of the set of risk controls are used to evaluate the set of risks associated with the set of risk controls. The audit opinions of the set of risks and of the set of risk controls are in turn used to evaluate the set of processes associated with the set of risks. Finally, all of these audit opinions are used to evaluate the set of organizations associated with the set of processes. The system streamlines the evaluation of risk by determining suggested audit opinions. Suggested audit opinions for a given item can be determined from audit opinions previously determined and associated with the given item. Rules can be defined for a given item to specify how to determine the suggested audit result.

The invention discloses a system for risk control over online payment. An electronic commerce website is subjected to data connection with an online payment gateway through the system; the system comprises a data receiving port, a risk pattern identifying and automatic screening module, a risk control core module, a payment processing module, a data synchronizing port and an RPC (Remote Procedure Call) server side and is used for finishing the payment risk control and online payment flow. After a user order is generated, the system can be used for automatically analyzing and distinguishing the user order and then determining whether the user order belongs to high-risk orders, suspicious orders or trust orders by integrating various elements. Aiming at credit-card fraud, order cancel and the like in the current electronic commerce transaction process, particularly in the foreign trade B2C (Business to Customer) industry, the risk control system disclosed by the invention establishes an identification model, can carry out automatic identification and screening and can be used for effectively controlling the online payment so as to reduce the collection risk of online payment.

The invention relates to a system for realizing electronic transaction risk control based on position scene identification. The system comprises a position scene identification-based security platform and an embedded security module, wherein the position scene identification-based security platform comprises a security interface sub-module, a positioning sub-module, a security control rule library, a security rule change sub-module, an electronic transaction risk judging sub-module and a security control weak rule generation sub-module, which are communicated with the embedded security module. The invention further relates to a method for realizing electronic transaction risk control based on position scene identification through the system. By adopting the system and the method for realizing electronic transaction risk control based on position scene identification, risk control over the electronic transactions of a user can be realized by providing positioning service and identifying a user position scene, so that the security of an electronic transaction process is enhanced, and losses caused by transaction security problems are reduced. The method is easy, convenient, and wider in application range.

The invention provides risk control system and method, wherein the system and the method are used for carrying out risk monitoring on transaction data in an electric power transaction platform. The method comprises the steps that (1) an evaluation index system is determined according to properties, characteristics and evaluation purposes of an evaluated object, wherein classification and hierarchy of the evaluation index, specific setting of the evaluation index and the determination of an evaluation standard are comprised; (2) basic data are collected, wherein relevant data of the evaluated object are collected according to the setting of the evaluation index, and the index is pretreated; (3) weight determination is carried out, and weight is given to the index; (4) and comprehensive evaluation is carried out, wherein scoring and grading are carried out on all aspects and the overall credit condition of the evaluated object, so as to reflect the credit risk condition of the evaluated object. The system and the method solve the problems of high cost and poor effect of the risk monitoring method of the existing electric power transaction platform.

The invention provides trade financing methods and systems on a distributed ledger. The methods and systems are based on block-chain technology. One of the methods includes: generating a right and interest voucher by a core enterprise; and splitting and transferring the right and interest voucher level by level among multi-level suppliers. Specifically, the core enterprise and the multi-level suppliers create distributed-ledger account numbers, and select certificates for login, and certificate signature verification is carried out by a service end of the distributed ledger; the core enterprise generates the right and interest voucher; the right and interest certificate is split and transferred level by level among the multi-level suppliers; trade financing is carried out on the basis of the right and interest voucher, and trade financing records are generated; and the core enterprise carries out asset transferring and encashment of the payer and the receivers according to contract contents in the right and interest voucher. According to the methods and systems, the financial trade system collapse problem is avoided, and trade processes are safer; financial trade process executionefficiency is improved, trade time delays are reduced, and processing costs are also reduced; risk control risks are effectively reduced; and robustness of a trade system is guaranteed.

The invention discloses a blockchain big data business information analysis system. The system comprises a business information data platform, a web crawler system, a blockchain storage system, a cloud computing center and a user display side, the business information data platform and the web crawler system are subjected to information interaction, the blockchain storage system stores interaction information, the cloud computing center calls data from the blockchain storage system and processes the data, and a user transmits data processed in the cloud computing center to the user display side by operating the user display side; the business information analysis platform provides first-hand, special, detailed, accurate and personalized business information for the user in the first time. The system can be used in the fields of precision marketing, investment risk control, industrial economy development situation prediction, stock market prediction, enterprise credit evaluation, science and technology project application, market opportunity finding, automatic public opinion monitoring and the like.

The invention discloses a microloan system based on big data intelligent risk control and a microloan method thereof. The microloan system comprises a background management server which comprises a front-end access system, a big data risk control system and a loan service system. The big data risk control system comprises a data acquisition module, a risk control engine module, a model training module and a credit assessment module. The data acquisition module is used for collecting user data information and performing data preprocessing. The risk control engine module performs anti-fraud decision by using an anti-fraud model based on a random forest algorithm. The model training module is used for performing model optimization on the anti-fraud model through operation of at least two sample sets. The credit assessment module performs score assessment on the user credit by using a logic regression algorithm. The microloan system and the microloan method are fast in overall verification speed, comprehensive in data verification and high in risk anticipation accuracy so as to effectively reduce the microloan risk.

A method and system for providing dynamic display of electronic trading information for trading risk-controlled spreads. The method and system allow spreads to be automatically inputted, executed, monitored and managed via plural different risk controls on one or more trading exchanges. The method and system provide automatic readjustment of desired market limit prices using one or more pre-determined spread trading risk factors and market depth information to maintain a desired price differential and a desired risk level for the automatic risk-controlled spread.

A risk management platform a steel trade financial business is a universal integrated risk management service platform which can automatically perform dynamic identification, real-time analysis, risk result processing and evaluation and quantifying the risk according to the data on the risks that are related in a steel trade financial business process based on a risk identification rule. The risk management platform comprises a risk management client frontend unit, a risk management channel gateway unit, a risk management core real-time service unit, a risk management background management service unit, a risk management offline service unit, a risk management near-line service unit and a risk management data service unit. The risk management platform and the risk management method have advantages of realizing abstract universal data model, integrating a rule engine which can be dynamically managed and changed, separating a real-time processing data according to a scene chronergy characteristic, realizing near-line model processing and offline model processing, finishing full-scene coverage of a risk management business, realizing independence between a client and a gateway architecture, reducing impact of business system change to a risk management back-end core, and flexibly decoupling a risk management logic and a business logic.

The invention provides a side slope stable reliability sensitivity analysis method based on Monte Carlo simulation. The side slope stable reliability sensitivity analysis method based on the Monte Carlo simulation includes: step 1, constructing a joint probability density function of uncertain parameters; step 2, using a Monte Carlo simulation method to obtain a side slope failure probability, and obtaining a failure sample; step 3, designing various sensitivity analysis schemes, and respectively constructing joint probability density functions of uncertain parameters under all the sensitivity analysis schemes; step 4, obtaining side slope failure probabilities under all the sensitivity analysis schemes; step 5, obtaining a variation trend of the side slope failure probabilities along with statistical characteristics of the uncertain parameters according to the side slope failure probabilities under all the sensitivity analysis schemes. The side slope stable reliability sensitivity analysis method based on the Monte Carlo simulation is wide in application range, simple in computation process, high in computation efficiency, and capable of effectively revealing a response regularity between the reliability level of a side slope and the statistical characteristics of the uncertain parameters, and has certain guiding significance for side slope risk control, design optimization and the like.

The invention relates to a credit investigation data sharing and trading system. The credit investigation data sharing and trading system comprises at least two P2P network nodes; each of the P2P network nodes comprises a bottom block chain system and a credit data sharing platform which is operated on the bottom block chain system; and each credit data sharing platform comprises a data sharing module, a data querying and trading module and a block chain adaption layer. According to the credit investigation data sharing and trading system, a block chain technology is utilized to construct a credible credit data sharing and trading platform; and by using a special data sharing mechanism, a data query mechanism and a data trading mechanism, credit data owners and credit data demanders can be attracted, so that credit data providers can realize data trading under the condition that the data is protected, and credit data query parties can obtain the credit data to improve the own risk control levels.