Unveiling good and bad behaviors on the Agentic Internet
Cloudflare is transitioning its bot mitigation strategy from static risk assessments to dynamic trust evaluations, using systems like BotBase and Precursor to continuously assess bot behaviors and offering a Precursor Trace simulation for users to test their cursor movements.
MAIN POINTS
- Cloudflare is moving from point-in-time risk assessments to continuous trust evaluations for bot mitigation.
- New behaviors from bots and agents are assessed by Cloudflare's systems, BotBase and Precursor.
- Precursor Trace simulation allows users to test their cursor movements for human or bot classification.
- The shift aims to improve the accuracy and effectiveness of identifying bot activities.
TAKEAWAYS
- Continuous trust evaluation provides a more dynamic approach to identifying bots.
- BotBase and Precursor are key systems in Cloudflare's new bot mitigation strategy.
- Users can interactively experience how their actions are evaluated through Precursor Trace.
- The new strategy enhances the detection of both good and bad bot behaviors.