AI反诈系统
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AI精准锁目标,警企联动端窝点——中国移动助力打击电诈出新招
Jiang Nan Shi Bao· 2026-01-22 06:14
此前,宿迁移动AI智能监测模型发现本地某基站出现异常高频通话行为。经分析,涉案号码在24小时 内密集拨打异地陌生电话,通信特征符合"冒充物流退款"类诈骗模式。宿迁移动立即启动反诈"熔断机 制",将线索实时同步至市公安局反诈中心。公安机关依托号码关联信息、通话行为数据等精准研判, 迅速锁定嫌疑人位置,现场查获作案手机卡16张、"打猫"设备3台,有效阻止了诈骗进一步扩散。 近日,中国移动(600941)江苏公司宿迁分公司(以下简称"宿迁移动")通过自研AI反诈系统协助公安 机关,成功破获一起冒充物流退款诈骗案件,并抓获犯罪嫌疑人。此次行动实现了从风险预警、实时研 判到线索移交的全流程智慧防控,进一步巩固了警企协同打击通信网络诈骗的联动机制。 下一步,宿迁移动将继续深化与公安机关的联动,持续优化AI反诈模型与防控技术,同时,依托"苏星· 邻里"品牌,持续扩大反诈微课堂、组建"防诈守护队",通过技术升级与社区宣防的双轮驱动,全力筑 牢通信安全防线,切实保障人民群众财产安全。(李甜) ...
谷歌引入AI反诈系统,利用语言模型分析潜在恶意网站
Huan Qiu Wang· 2025-05-11 03:33
Core Insights - Google has announced the comprehensive introduction of an AI fraud detection system across its applications and search engine to combat online fraud effectively and create a safer online environment for users [1] Group 1: AI Implementation in Search Engine - Google successfully blocks "hundreds of millions" of fraudulent search results daily, achieving a 20-fold increase in interception efficiency compared to three years ago, thanks to deep application of AI technology [3] - The AI algorithms quickly identify and filter out fraudulent information, ensuring users access reliable information [3] Group 2: AI Features in Applications - Google Messages and Phone applications have integrated AI-driven fraud detection features that analyze messages and call content to identify potential scams, significantly reducing the occurrence of phone fraud [3] - The AI system alerts users promptly, protecting their financial security [3] Group 3: Browser Security Enhancements - For the desktop version of Chrome, Google has introduced the Gemini Nano large language model, which runs locally to provide additional security by analyzing web content for malicious intent [3] - This model sends security reports to Google's Safe Browsing service for final assessment, enhancing detection speed and identifying newly launched fraudulent websites [3] Group 4: AI Warnings in Chrome for Android - The Android version of Chrome has launched an "AI Warning" feature that analyzes suspicious notifications from web pages using local machine learning models [4] - Users receive immediate alerts when potentially fraudulent notifications are detected, advising caution to avoid phishing scams [4]