Case Study

Grocery Retailer Identifies Novel Threat with Threat Tracker

Grocery Retailer Identifies Novel Threat with Threat Tracker

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A major grocery retailer operating in the U.S. and Canada faced persistent automated traffic, including scraping and account takeover attempts, that obscured threat detection. By implementing HUMAN Sightline with Threat Tracker, the company gained visibility into malicious bot behavior using machine learning, behavioral analytics, and adaptive detection. HUMAN identified a new scraping bot targeting alcohol product pages—an issue critical due to strict regulations. The discovery led to updated threat models and improved mitigation. With 99.99% detection accuracy, HUMAN reduced bot traffic, enhanced performance, cut infrastructure costs, and strengthened overall cybersecurity resilience.

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