Forrester Names Netacea a Strong Performer in Bot and Agent Trust

The report, which marks the first evaluation under the rebranded category of Bot and Agent Trust Management, underscores a shift in how enterprises must address automated traffic. As AI-driven crawlers and LLM scrapers become more sophisticated, the industry is moving away from blunt blocking strategies toward nuanced traffic classification. Netacea differentiates itself through a server-side detection model, which analyzes intent rather than relying solely on client-side protocols like CAPTCHA or JavaScript.

Forrester highlighted the company's fully managed service model, noting that firms requiring significant configuration support for scraping prevention and transaction security should prioritize Netacea. Internal data from the vendor suggests that 18% of LLM scraping traffic is designed to mimic human click patterns, effectively bypassing standard security measures to siphon proprietary data for AI training sets. Andy Still, CTO and co-founder of Netacea, attributes the company's current standing to a long-term strategy of prioritizing server-side protection to identify the purpose behind digital activity.