E-commerce is “boosted” by AI ?

E-commerce is "boosted" by AI ?

Case Background

In the world of livestreaming e-commerce, false prosperity has become a concern. Consumers report that popular items in livestream rooms often have questionable quality, and some rooms artificially inflate traffic and positive reviews, misleading buyers. Media investigations reveal abnormal data spikes, where viewership surges within minutes, inundating chat with irrelevant information. Insiders suggest that top live streamers spend large sums to boost popularity, and rooms with high return rates may engage in data falsification.

To boost viewership, two methods are prevalent: automated software (AI botting) and manual group control. Gray market actors now favor group control devices, using multiple smartphones to automate likes, follows, scripted messages, and other actions, creating the illusion of thriving livestream rooms. Additionally, a team provides services like inflating viewership, interactive comments, and product sales figures. The State Administration for Market Regulation prohibits false transactions and fabricated data to ensure accurate product information for consumers.


Adaptive Apps Shielding:
- Enhances code obfuscation using graph neural networks.
- Selects appropriate methods based on code characteristics.
- Reduces reverse engineering difficulty and computational consumption.
- Prevents attacks like cracking and repackaging.

- Stops AI-driven brute force attacks and phishing.
- Achieves 99.9% precision in risk control.
- Provides real-time response for secure user authentication.

Real-time Risk Control Engine:
- Assists with risk assessment and anti-fraud analysis.
- Processes daily risk control strategies swiftly.
- Optimizes security strategies for known risks.


AISecurius | Fraud Detection | atbCAPTCHA | Apps Shielding


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