Machine Learning models
Cloudflare allows Enterprise customers to enable Auto-updates to its Machine Learning models for the newest bot detection models as they are released.
To enable Auto-updates:
- Log in to the Cloudflare dashboard and select your account and domain.
- Go to Security > Bots.
- Select Configure Bot Management.
- Enable Auto-updates to the Machine Learning Model.
If you are on an older Machine Learning model, you will see a score change to requests scored by the Machine Learning source instantly. If you are already on the latest model, you will see changes only after a new Machine Learning model becomes the global default.
Customers will be notified via email and dashboard prior to a new Machine Learning model becoming the global default.
By not updating to the latest version, you will be using a Machine Learning model no longer maintained or monitored by our engineering team. As Internet traffic changes and new trends evolve, scoring accuracy by older versions may degrade.
| Version | Release Notes | Launch Date |
|---|---|---|
| v1 | First Machine Learning Model released. | Q1 2019 |
| v2 | Introduced dynamic inter-request features to leverage the Cloudflare network to detect new bots more accurately. Feedback other Bot Management detection mechanisms to the machine learning model to more accurately detect bots. | Q1 2020 |
| v3 | Fixed accuracy issues under some conditions in the previous version. | Q2 2020 |
| v4 | Improved scoring for iOS devices. Fixed scoring inaccuracy in Firefox builds. | Q1 2021 |
| v5 | Recalibrated model for the removal of _cfduid cookie ↗. Introduced new signals to reduce false negatives. | Q2 2021 |
| v6 | Significantly improved scoring for native Android application traffic. Improved scoring on the newest versions of Chromium browsers. | Q1 2022 |
| v7 | Increased recognition of distributed botnets. Improved HTTP/3 scoring. | Q1 2024 |
| v8 | Improved detection of residential proxies. Increased weight on network level traffic characteristics. | Q2 2024 |