Building unique, per-customer defenses against advanced bot threats in the AI era

Cloudflare has announced a new platform to combat sophisticated AI-driven bot attacks, particularly focusing on web scraping. This new approach provides per-customer behavioral anomaly detection, allowing for hyper-personalized security on individual websites. The system tracks bot behavior over time to identify anomalies against a baseline of normal activity specific to each customer, enabling the detection of bots that blend in with human traffic. It involves a three-step process: establishing dynamic baselines, identifying anomalies, and generating actionable findings. This is particularly important as modern bots use AI to mimic human interaction, making traditional detection methods ineffective. Cloudflare's platform leverages its vast network to create unique defense models for each customer, improving the bot score system and integrating seamlessly with existing security tools like Super Bot Fight Mode and Enterprise Bot Management. The initial focus is on detecting AI-driven scraping, with plans to expand to other threats such as credential stuffing and inventory hoarding, aiming to raise the baseline of Internet security for all users.

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