Netacea Achieves Strong Performer Status in Bot and Agent Trust Management According to Forrester

Netacea's Recognition in Bot and Agent Trust Management



In a recent report by Forrester, Netacea has been showcased as a Strong Performer, receiving top scores in key areas such as web and LLM scraping management. Forrester's evaluation, conducted in the Q2 2026 edition of The Forrester Wave™ Bot and Agent Trust Management Software, highlights the growing need for effective strategies against automated threats that businesses face today.

The Evolving Threat Landscape



The cybersecurity environment is changing rapidly, with businesses now encountering a plethora of automated behaviors, from scrapers and crawlers to AI agents, compromising the integrity of online interactions. With these new challenges, companies need a robust partner that can navigate the complexities of bot traffic without hindering legitimate user activities. Netacea stands out in the field by allowing enterprises to identify trustworthy agents while minimizing disruption to essential services that customers rely on.

Forrester’s Insights



According to Forrester's report, the demand persists for vendors that can handle comprehensive configuration and management. This is particularly significant in the realms of scraping and transaction assurance. Forrester recommends potential clients include Netacea in their shortlist when evaluating solutions for automated traffic management. With organizations relying heavily on accurate detection and management of online traffic, a reliable partner like Netacea becomes invaluable.

The report mentions, "Customers that need a vendor to take on a lot of the configuration and management... should add Netacea to their shortlist." This acknowledgement reinforces Netacea's position as a vital resource in a domain that is rapidly evolving.

Strength in Server-side Protection



Netacea believes strongly in a server-side approach to identifying bots based on their intent rather than their appearance. Andy Still, the Chief Technology Officer and Co-Founder of Netacea, stated, "Around five years ago, we brought protection server-side to detect what bots are trying to do, not what they look like. As a result, our customers are ahead in this new economy of agent trust." This foundational shift allows for more precise control and a strategic edge for their clients.

As a result of these advancements, Netacea has been able to manage and configure its protection authentically, fostering a proactive environment that anticipates and combats sophisticated automated abuses. Internal data indicates that a substantial 18% of LLM scraping traffic goes unrecognized due to its mimicry of human click patterns, successfully evading traditional security measures such as JavaScript and CAPTCHA. This has significant implications, as it leads to losses in proprietary data integrity, affecting intellectual property protection and business viability.

Commitment to Excellence



Netacea's comprehensive service model is regarded as a core advantage, wherein the team is responsible for continuous tuning and detection configuration. They emphasize the importance of customer partnership, showcasing this model as the foundation of their success. The recognition by Forrester serves as a testament to their years of dedication and innovation in the field of bot management.

The full evaluation results, inclusive of detailed insights, can be found in the Forrester Wave report on their website. This partnership approach is not just about recognition for Netacea, but a commitment to improving how businesses can navigate the complexities of digital ecosystems. As automation continues to rise, staying one step ahead is critical for ensuring a safe and efficient digital environment.

In conclusion, Netacea’s recent standing in the Forrester Wave further solidifies its promise to equip businesses with the necessary tools to manage their automated traffic effectively and safeguard their operational integrity in an increasingly complex landscape.

Topics Business Technology)

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