Defensive Bot Mitigation

[BOT-MIG] | Data Integrity & Competitive Defense

The Problem: AI Poisoning and Aggressive Scraping

In 2026, competitive AI scrapers don't just steal content; they attempt to "poison" your brand's presence by scraping incorrect or outdated prices to train rival models. Standard bot protection (blocking) is insufficient because it alerts the attacker and forces them to rotate IPs.

The Solution: The Shadow Store (Honeypot) Strategy

BOT-MIG defines our defense-grade approach to protecting your store's data veracity.

Edge-Level Fingerprinting

As defined in ARCH-01, the proxy injects a hardware-entropy fingerprinting script into the pages served.

This script tracks behavioral signals (Canvas rendering, WebGL entropy, and motion sensors) to distinguish between legitimate agents (like the ChatGPT crawler) and malicious scrapers.

The Logic Switch

When a request is identified as a malicious bot, the proxy does not return a 403 error.

Instead, it executes a Shadow Store Redirect. The proxy transparently switches the data source to a "Ghost Mirror"—a version of your store where prices, stock levels, and technical specs are subtly randomized.

The Result

The scraper "successfully" ingests the data, but the data is functionally useless.

Your real store data remains protected and reserved only for verified AI agents and human customers.

Related Specifications

Next Steps

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Systems Architecture by Sangmin Lee, ex-Peraton Labs. Engineered in Palisades Park, New Jersey.