Information Security 11 min read

AntDTX Middleware and Collaborative Anti‑Fraud Efforts with Vivo: Insights from Ant Security Lab

The Ant Security Lab presented AntDTX, a trusted device middleware, and its joint anti‑fraud collaboration with Vivo, discussing industry security trends, technical architecture, deployment results, and future directions for protecting mobile users against sophisticated telecom fraud.

AntTech
AntTech
AntTech
AntDTX Middleware and Collaborative Anti‑Fraud Efforts with Vivo: Insights from Ant Security Lab

Ant Security Lab, a partner of Ant Group, highlighted its collaboration with Vivo at the 2022 Vivo Developer Conference, where it received the "2022 Vivo Best Security Technology Partner" award.

The lab introduced AntDTX, a device‑trusted extension middleware designed to bridge basic system security capabilities with business‑level risk control, and described its three core components: AntDTX.Risk, AntDTX.Guard, and AntDTX.Stack.

Three major security trends were outlined: increasing data‑privacy regulations (e.g., China’s Personal Information Protection Law, GDPR), the rise of Web 3.0/Metaverse shifting key assets to user devices and blockchain, and the growing prevalence of telecom‑network fraud that demands endpoint‑level detection.

AntDTX aims to provide open, standards‑based interfaces for secure POS devices, blockchain boxes, and smartphones, and the lab has contributed to industry standards such as the TAF "Smart Terminal Business Risk Prevention Guide" and an upcoming anti‑fraud guideline from the Ministry of Industry and Information Technology.

In collaboration with Vivo’s Qianjing Trusted Engine, AntDTX.Risk embeds fraud‑detection strategies into the device layer, enabling real‑time risk alerts and reducing false positives for fraudulent apps that employ scheme tampering, multi‑step web redirects, or covert payment code sharing.

Since the joint solution’s launch, over 4 million Vivo devices have been equipped, identifying more than 2 100 risky transactions per day, demonstrating the effectiveness of early‑stage risk perception.

The presentation concluded with three future improvement directions: expanding device coverage, enhancing intelligent risk‑control strategies to improve precision, and deepening program‑analysis research to detect fraudulent apps earlier in the installation process.

anti-fraudmiddlewareVivoMobile Securityrisk detectionAntDTX
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