6 results about "Risk detection" patented technology

This application discloses a risk warning method, apparatus, equipment, and product, relating to the field of risk detection technology. The method includes: receiving transaction data and calculating the transaction data using a set of transaction risk control clauses to obtain an initial risk control result; performing mutual exclusion and joint relationship judgments on the initial risk control result to obtain mutual exclusion judgment results and joint judgment results; performing aggregate analysis on the mutual exclusion judgment results and joint judgment results to obtain a final risk control result, and generating alarm information based on the final risk control result. This solves the problem of inaccurate risk control judgments and low efficiency in asset management risk control systems due to rule conflicts and insufficient adaptation, thus improving the efficiency of risk warning.

This invention provides a method and apparatus for risk detection of member institution behavioral data, applicable to the field of artificial intelligence technology. The member institution is a financial institution user connected to a payment clearing platform, which provides transaction transfer and reconciliation services. The method includes: fusing reconciliation behavior characteristic data and transaction behavior characteristic data of the member institution in the current time period to generate fused characteristic data; using a behavior prediction model to predict behavior in a target time period from the fused characteristic data, generating predicted behavior characteristic data, where the current time period precedes the target time period; performing multiple risk detections on the predicted and actual behavior characteristic data for the target time period to generate risk detection results, fully utilizing the member institution's behavioral data at each operational stage to improve information utilization and thus enhance identification accuracy; and automatically performing risk detection to reduce labor costs and achieve refined risk identification.

The present invention relates to an artificial intelligence-driven financial transaction risk detection and compliance automation system implemented as an integrated machine-based computing structure configured to operate in real time within financial transaction environments. The system receives and normalizes heterogeneous transaction data, generates transaction-specific behavioral and structural fingerprints, and computes dynamic risk indicators using adaptive artificial intelligence models. The computed risk indicators are continuously evaluated against jurisdiction-specific regulatory constraints to determine compliance status while the transaction is in process. Based on this evaluation, the system automatically generates transaction control actions including approval, rejection, delay, escalation, or compliance annotation. The invention further provides secure and immutable audit recording of transaction data, risk determinations, compliance decisions, and enforcement actions, enabling regulatory traceability and forensic analysis.

Disclosed herein are methods and systems related to fraud detection, risk assessment, and intervention. More specifically, this is related to conducting and monitoring transactions on a blockchain through the use of artificial intelligence, AI, and machine learning. This combination can be applied to financial systems to create an Artificial Intelligence Financial Technology Blockchain, AIFTB. The AIFTB is able to receive a variety of data and use it to predict actions being taken by users and detect if there are any risks or legal concerns with the activity. The AIFTB is then able to apply its training to execute smart contracts on the blockchain based on the risk and legality of the data it received. Finally it will alert appropriate authorities based on the predictions.

The application discloses a kind of account risk detection method, device, computer equipment and storage medium, belong to computer technical field.The method comprises: detecting and account associated alarm event, alarm event refers to the event that the login behavior of account exists exception;Detecting and account associated fragile event, fragile event refers to the event that there is security risk in the login environment of account;Value information of account is obtained, value information indicates the value of account, value information includes at least one of permission information or real-name information, permission information indicates the authority that account has, and real-name information refers to the information associated with user that account is bound;By evaluating the severity of alarm event, the severity of fragile event and the importance of value information, determine risk detection result.The application considers the login behavior, login environment and value information of account, and according to the value of account by evaluating the authority and real-name condition of account, improve the accuracy of risk detection to account.