CLOUDFLAREINTEGRATION

NETACEA / DATA SHEET

BOT MANAGEMENTWITH CLOUDFLARE

BACKGROUND | OUR APPROACH | HOW IT WORKS | SERVICE WORKER

NETACEA.COM

HOW IT WORKS

Cloudflare Workers provide a lightweight JavaScript execution environment that allow for the execution of lightweight rules on the Cloudflare Edge. Netacea’s pre build Cloudflare NPM module can be deployed within minutes and utilizes Workers to preform mitigating actions and stream log data.

When a visitor first hits a site protected by Netacea/Cloudflare the Workers will query the Netacea Mitigation service, if the visitor is known to be malicious the worker will perform the appropriate mitigation or continue to allow the visit. The worker will then stream log data on the visitor and session to the Netacea Ingest Service where Netacea’s advanced machine learning platform will perform further analysis on the visitor to confirm they are a good actor. If at any point the visitor’s activity becomes malicious the mitigation service will be updated and worker will preform the appropriate mitigation.

SERVICE WORKER

Cloudflare Workers let us build and execute customisable rules generated by Netacea’s behavioural engine. At the edge. This highly flexible service worker architecture let’s us deploy and modify mitigations extremely rapidly and dynamically responds to the threats indicated through the behavioural detection.

BACKGROUND

The CloudFlare Netacea direct Service Worker integration allows customers to benefit from the power of CloudFlare’s CDN, DDos protection and WAF services, to seamlessly integrate Netacea’s Advanced Bot Management capabilities into their estate.

Our powerful Machine Learning can be harnessed to detect bots and mitigate at the edge, without impacting overall performance, or new service for ease of integration.

OUR APPROACH

The machine learning is able to monitor all the site visits to a particular path, and analyse them in context relative to each of the other visitors to your enterprise estate. Building this relational matrix to show the clustering of comparative behavioural types is key to our product vision. We examine thousands of potential signals and the way they compare to each other, to produce a true multi-dimensional data model to detect the most pernicious bots.

NETACEA / DATA SHEET