广告营销工具
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SEOSEO付费获客付费获客程序化广告网站变现程序化App 获客App 变现网站变现关键词研究搜索意图App 获客ROASCPAApp 变现CPCLTV联盟营销eCPMRPM零售媒体营销归因转化追踪创意情报MMPHeader BiddingDSPSSPRTB广告可见率填充率ASOSKAdNetworkARPDAU激励视频广告聚合联盟营销创意测试A/B 测试再营销相似受众广告优化品牌安全供应路径

程序化广告

Human Security

付费

反广告欺诈安全平台(原 White Ops),实时检测机器人流量、账号劫持和应用安装欺诈,保护广告预算安全。

分析反欺诈广告安全机器人流量预算保护

主要用途

HUMAN Security verifies the humanity of digital interactions to protect advertising spend, web and app traffic, and user accounts from sophisticated bot attacks. It collects behavioral, device, network, and threat-intelligence signals on every request and makes real-time decisions about whether the visitor is a genuine person, beneficial automation, or malicious activity such as invalid traffic, ad fraud, account takeover, fake-account creation, or content scraping. Marketing teams use its MediaGuard and ad-fraud defenses to keep bots out of programmatic auctions and campaign analytics, while broader products guard logins, checkout, and APIs. Decisions feed dashboards and integrations so security, growth, and media-quality teams act on the same verified signal.

所在链路

HUMAN sits as an independent verification layer across the buy and sell sides, filtering bot activity before it pollutes auctions, analytics, or user accounts.

核心功能

  • Real-time bot detection across web, apps, APIs, and CTV
  • Pre-bid and post-bid invalid-traffic and ad-fraud protection
  • Account-takeover and fake-account abuse prevention
  • Behavioral, device, and network signal collection at scale
  • Threat intelligence drawn from collective bot-network visibility
  • Dashboards and integrations for media-quality and security teams

适合谁用

  • Advertisers protecting programmatic budgets from invalid traffic
  • Publishers and exchanges defending media quality and reputation
  • Apps and platforms blocking account and transaction abuse

新手提示

  1. Decide which surfaces matter first — ad traffic, logins, or APIs — because the integration and pricing differ by use case.
  2. Treat its invalid-traffic numbers as a benchmark against your own analytics; large gaps usually mean bots were inflating earlier reports.
  3. Coordinate rollout with security and data teams so blocking rules do not accidentally filter legitimate automation like uptime monitors.
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