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Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Apr 27, 2026 · Information Security

Real-Time Agentic Risk Detection with Flink, Fluss, and Large Language Models

The article presents a Flink‑Fluss‑LLM architecture that captures full‑link agent events via a non‑intrusive hook, combines semantic AI inference with deterministic CEP rules, and delivers millisecond‑level alerts for malicious user detection, tool result poisoning, and chain‑attack risk mitigation.

AI FunctionAgent SecurityFlink
0 likes · 41 min read
Real-Time Agentic Risk Detection with Flink, Fluss, and Large Language Models
DaTaobao Tech
DaTaobao Tech
Mar 13, 2026 · Artificial Intelligence

How an AI Platform Replaces 150+ Lines of Code for E‑commerce Promotion Risk Detection

The article explains how a natural‑language‑driven AI platform, with pre‑configured agents and parameterized calls, can replace a complex 150‑line SKU‑combination risk‑checking algorithm in e‑commerce, dramatically improving readability, maintainability, development speed, and business value while reducing cost and response time.

AIMCPRisk Detection
0 likes · 17 min read
How an AI Platform Replaces 150+ Lines of Code for E‑commerce Promotion Risk Detection
Bilibili Tech
Bilibili Tech
Nov 28, 2025 · Artificial Intelligence

How We Built an LLM‑Powered AI Hub to Read and Analyze Community Chats

This article details the design and deployment of a multi‑layer LLM system that automatically reads massive creator group chats, extracts structured insights, mitigates hallucinations with dual‑model verification, uses few‑shot prompting for stable output, and delivers real‑time risk alerts and operational reports.

AI OperationsFew‑Shot LearningLLM
0 likes · 14 min read
How We Built an LLM‑Powered AI Hub to Read and Analyze Community Chats
JD Tech
JD Tech
Sep 18, 2025 · Artificial Intelligence

How I Turned a General LLM into a Precise E‑commerce Risk Detector

The article recounts how a risk‑control algorithm engineer progressively refined a generic large language model through four stages of prompt engineering—role‑playing, business knowledge injection, deeper analysis, and a double‑hypothesis decision framework—to transform it into a precise e‑commerce fraud detection expert.

AILLMPrompt engineering
0 likes · 12 min read
How I Turned a General LLM into a Precise E‑commerce Risk Detector
JD Tech Talk
JD Tech Talk
Sep 8, 2025 · Artificial Intelligence

How I Turned a Generic LLM into a Precise E‑Commerce Risk Detector

The article recounts how a risk‑control algorithm engineer progressively refined a generic large language model through four stages of prompt engineering—defining roles, dimensions, structured I/O, business rules, behavior fingerprints, and a dual‑hypothesis decision framework—to transform it into a precise e‑commerce fraud detection expert.

AILLMPrompt engineering
0 likes · 10 min read
How I Turned a Generic LLM into a Precise E‑Commerce Risk Detector
JD Retail Technology
JD Retail Technology
Aug 29, 2025 · Artificial Intelligence

Turning a General LLM into an E‑commerce Risk‑Detection Expert: A Step‑by‑Step Prompt Engineering Guide

The article recounts how a risk‑control algorithm engineer transformed a generic large language model into a specialized e‑commerce fraud detector by iteratively designing prompts, injecting business rules, structuring I/O, and introducing a dual‑hypothesis decision framework to achieve accurate, automated risk analysis.

LLMPrompt engineeringRisk Detection
0 likes · 11 min read
Turning a General LLM into an E‑commerce Risk‑Detection Expert: A Step‑by‑Step Prompt Engineering Guide
Baidu Geek Talk
Baidu Geek Talk
Jun 18, 2025 · Artificial Intelligence

How Graph Algorithms Power Anti‑Fraud in Marketing and E‑Commerce

This article explores how black‑market cheating in marketing campaigns and e‑commerce is detected using graph‑based techniques such as same‑person mining, label propagation, Fraudar, and GCN models, and discusses future directions like multimodal data fusion and real‑time dynamic graph computation.

FraudarGCNRisk Detection
0 likes · 18 min read
How Graph Algorithms Power Anti‑Fraud in Marketing and E‑Commerce
AntTech
AntTech
May 12, 2025 · Industry Insights

How AI Large Models Are Revolutionizing Multimodal Content Safety

An award‑winning joint project by Shanghai Jiao Tong University and Ant Group unveils a multimodal foundation model and advanced detection techniques that dramatically improve AI‑driven content risk governance across massive online services.

AIAnt GroupContent Safety
0 likes · 3 min read
How AI Large Models Are Revolutionizing Multimodal Content Safety
AntTech
AntTech
May 6, 2025 · Information Security

Security Risk Detection for HarmonyOS ArkTS Code: Architecture, Analysis Framework, and Future Directions

This article presents a comprehensive overview of the security challenges in HarmonyOS native ArkTS applications and describes the design and implementation of a specialized static analysis framework—including source extraction, data‑flow and inter‑function analysis, knowledge‑graph construction, and risk inference engine—while also outlining integration into development pipelines and future research directions.

Knowledge GraphRisk DetectionarkTS
0 likes · 17 min read
Security Risk Detection for HarmonyOS ArkTS Code: Architecture, Analysis Framework, and Future Directions
Huolala Tech
Huolala Tech
Jan 23, 2025 · Artificial Intelligence

How AI Transforms Freight Safety: Real-Time Risk Detection and Intervention

This article explains how AI technologies are applied to freight safety, detailing the challenges of traditional controls, the architecture of a real‑time AI safety system, data processing, risk detection, tiered interventions, and the resulting improvements in accuracy and operational efficiency.

AIComputer VisionLogistics
0 likes · 7 min read
How AI Transforms Freight Safety: Real-Time Risk Detection and Intervention
AntTech
AntTech
Apr 2, 2024 · Information Security

Web3 Anti-Money Laundering Platform: Real-Time Risk Identification and Prevention

This article outlines Ant Group's Web3 multi‑dimensional intelligent anti‑money‑laundering platform, detailing common cryptocurrency risk types, regulatory compliance challenges, and the platform's real‑time monitoring, contract scanning, and graph‑based risk tagging capabilities for proactive detection and rapid response.

Regulatory ComplianceRisk DetectionWeb3
0 likes · 9 min read
Web3 Anti-Money Laundering Platform: Real-Time Risk Identification and Prevention
Architect
Architect
Dec 29, 2023 · Industry Insights

How Bilibili Built a Scalable Anti‑Crawling System: Architecture, Data Flow, and Real‑World Impact

The article details Bilibili's comprehensive anti‑crawling solution, covering the problem background, a two‑layer detection framework integrated with APIGW and GAIA, risk perception, strategy iteration, verification mechanisms, quantitative results, and future improvement directions, all illustrated with concrete examples and performance numbers.

API SecurityBilibiliOperations
0 likes · 23 min read
How Bilibili Built a Scalable Anti‑Crawling System: Architecture, Data Flow, and Real‑World Impact
High Availability Architecture
High Availability Architecture
Dec 20, 2023 · Information Security

API Anti‑Crawling and Security Architecture: Risk Detection, Strategy, and Effectiveness at Bilibili

This article details Bilibili's comprehensive anti‑crawling system, covering the background of API abuse, the data‑flow framework, risk perception, strategy iteration, verification mechanisms, gateway signing design, and the measurable impact on normal and special‑case interfaces.

BilibiliRisk Detectionanti‑crawling
0 likes · 19 min read
API Anti‑Crawling and Security Architecture: Risk Detection, Strategy, and Effectiveness at Bilibili
Architect
Architect
Sep 22, 2023 · Information Security

Analysis of Vivo Game Platform Black Market Profit Points, Cheating Characteristics, and Anti‑Cheat Solutions

This article examines the profit motives and characteristics of black‑market activities targeting the Vivo game platform, outlines common cheating methods such as volume‑boosting, network attacks, and account theft, and presents Vivo's multi‑layered anti‑cheat framework with real‑world case studies.

Game SecurityGaming IndustryRisk Detection
0 likes · 14 min read
Analysis of Vivo Game Platform Black Market Profit Points, Cheating Characteristics, and Anti‑Cheat Solutions
DataFunTalk
DataFunTalk
May 27, 2023 · Artificial Intelligence

Graph Algorithms in Alibaba E‑commerce Risk Control: Practices and Insights

The article presents a comprehensive overview of how graph algorithms are applied in Alibaba's e‑commerce risk control system, detailing six sections that include risk scenario introductions, interaction and product content risk methods, dynamic heterogeneous graph practices, a large‑scale competition, and future research directions.

Dynamic GraphRisk Detectione-commerce risk
0 likes · 18 min read
Graph Algorithms in Alibaba E‑commerce Risk Control: Practices and Insights
Ziru Technology
Ziru Technology
Mar 29, 2023 · Information Security

How Ziroom’s Risk Control Platform Detects and Prevents Account Fraud

This article outlines the background, risk scenarios, and technical design of Ziroom's risk control platform, describing how decision‑engine calculations, data‑driven feature extraction, and rule‑based strategies are used to identify and mitigate fraudulent account activities and reduce bad‑debt losses.

Fraud PreventionRisk Detectiondata analysis
0 likes · 7 min read
How Ziroom’s Risk Control Platform Detects and Prevents Account Fraud
vivo Internet Technology
vivo Internet Technology
Feb 15, 2023 · Information Security

Ad Traffic Anti‑Fraud: Algorithms, System Architecture, and Case Studies

The article explains how ad traffic fraud—ranging from simulated impressions to click farms—can be combated using a four‑layer risk‑control system that leverages unsupervised (DBSCAN, Isolation Forest) and supervised (Logistic Regression, Random Forest) algorithms, detailing data pipelines, model training, monitoring, and real‑world case studies.

Ad FraudAdvertisingRisk Detection
0 likes · 15 min read
Ad Traffic Anti‑Fraud: Algorithms, System Architecture, and Case Studies
Huolala Tech
Huolala Tech
Sep 10, 2022 · Artificial Intelligence

How AI Transforms Freight Safety: Real‑Time Risk Detection and Intervention

This article explains how AI technologies enable end‑to‑end freight safety monitoring, from pre‑trip and in‑trip risk identification to targeted interventions and governance, addressing challenges such as long‑tail data, small‑sample learning, fine‑grained classification, and multi‑level filtering.

AIDeep LearningLogistics
0 likes · 12 min read
How AI Transforms Freight Safety: Real‑Time Risk Detection and Intervention
DataFunTalk
DataFunTalk
Jul 12, 2022 · Artificial Intelligence

Applying Computer Vision for Content Safety in Live Streaming: Practices and Future Directions

This presentation details how Huya leverages computer‑vision algorithms to detect and mitigate risky content such as political, pornographic, and violent material in live‑streaming and short‑video platforms, describing system architecture, labeling strategies, algorithmic pipelines, real‑time moderation techniques, and future research directions.

AI SafetyComputer VisionRisk Detection
0 likes · 11 min read
Applying Computer Vision for Content Safety in Live Streaming: Practices and Future Directions
Alimama Tech
Alimama Tech
Dec 22, 2021 · Industry Insights

How Alibaba’s Traffic Quality Team Detects and Mitigates Advertiser Arbitrage

This article details Alibaba Mama's traffic quality team's comprehensive approach to identifying and curbing advertiser arbitrage through crowdsourced traffic detection, statistical baselines, behavior‑sequence modeling, graph mining, RPM perception, insight platforms, and downstream remediation, highlighting challenges and future directions.

Ad FraudRisk Detectionarbitrage
0 likes · 19 min read
How Alibaba’s Traffic Quality Team Detects and Mitigates Advertiser Arbitrage
JD Tech Talk
JD Tech Talk
Jun 5, 2020 · Information Security

From System Engineering to Anti‑Black‑Market: Lin Yuansheng’s Journey in JD’s Intelligent Risk Detection

Lin Yuansheng, JD’s first post‑doctoral researcher, leverages his system‑engineering background and big‑data analytics to build models that identify black‑market accounts, improve network risk perception, and demonstrate how academic research can be rapidly applied to real‑world e‑commerce security challenges.

Risk Detectiondata modelingsystem engineering
0 likes · 8 min read
From System Engineering to Anti‑Black‑Market: Lin Yuansheng’s Journey in JD’s Intelligent Risk Detection
58 Tech
58 Tech
Mar 26, 2020 · Big Data

LPA-Detector: Distributed Label Propagation with Confidence Weights for Large‑Scale Graph Risk Detection

The article introduces LPA-Detector, an open‑source project that redesigns the Label Propagation Algorithm using Spark GraphX to add node confidence weights and relationship influence, achieving significant improvements in execution efficiency and detection accuracy for massive graph data in risk‑control scenarios.

Big DataRisk DetectionSpark
0 likes · 8 min read
LPA-Detector: Distributed Label Propagation with Confidence Weights for Large‑Scale Graph Risk Detection
DataFunTalk
DataFunTalk
Oct 17, 2018 · Artificial Intelligence

Design Principles for AI‑Driven Anti‑Fraud Systems

The article outlines Tongdun Technology's anti‑fraud challenges, presents their AI‑based detection solutions, and details design principles—including early warning, multi‑feature analysis, and human‑machine collaboration—to build a robust, multi‑layered fraud prevention framework.

AI designRisk DetectionUnsupervised Learning
0 likes · 10 min read
Design Principles for AI‑Driven Anti‑Fraud Systems
AntTech
AntTech
Sep 13, 2018 · Databases

GeaBase: China’s First Financial‑Grade Distributed Graph Database – Architecture, Performance, and Real‑World Applications

GeaBase, the pioneering financial‑grade distributed graph database from Ant Financial, combines a scalable graph engine, a custom query language, and millisecond‑level query performance to power anti‑fraud, recommendation, and risk‑analysis workloads across Alibaba’s ecosystem, while showcasing impressive benchmarks against relational databases and open‑source graph solutions.

Ant FinancialGeaBaseRisk Detection
0 likes · 22 min read
GeaBase: China’s First Financial‑Grade Distributed Graph Database – Architecture, Performance, and Real‑World Applications
Alibaba Cloud Developer
Alibaba Cloud Developer
May 7, 2018 · Artificial Intelligence

How Active PU Learning Boosts Cash‑Out Fraud Detection by 3×

This article presents an Active PU Learning framework that combines active learning with two‑step PU semi‑supervised learning to improve cash‑out fraud detection, reducing labeling costs, enhancing model performance, and achieving a three‑fold increase in identified fraudulent transactions compared to traditional unsupervised methods.

AIRisk DetectionSemi-supervised Learning
0 likes · 15 min read
How Active PU Learning Boosts Cash‑Out Fraud Detection by 3×