NetOp Netfilter - Features

No updates, no hassle, no slip-ups
NetOp Netfilter is a 100% dynamic content filtering solution based on artificial intelligence utilizing a combination of advanced image, text and behavior analysis.

Scalable technology
The technology is built to scale from filtering very few workstations to thousands of workstations. By simply adding filter servers managed from central site admin servers the functionality can be expanded to suite the size and growth of the individual company.

Dynamic analysis and filtering
The technology is built on 100% dynamic analysis methods obtaining the advantage of always being able to categorize incoming content, without relying on daily or weekly updates on URL-lists.

No need for updates
In 2005 the Internet was estimated to consist of 11.5 billions URL's. If this fact is added to the volatile nature of the Internet where thousands of URL chance, is deleted or added every day, it is evident that it is practically impossible to keep an URL database up to date. By having the dynamic nature of the NetOp Netfilter this problem is none existing hence the accuracy of the categorization is unique and will supply the correct verdicts inevitably, hence protecting the employee from making mistakes, protecting the company image and providing an accurate log of the internet behaviour to the management.

Blocks IM, Chat, P2P, Streaming Audio and Video and much more
NetOp Netfilter has a built in application control, to stop IM, Chat, P2P and other specified .exe programs hence the employee is unable to start any of these programs on the workstation and avoid the risk associated by using IM, Chat and P2P. Also streaming audio and video can be controlled to avoid the misuse of bandwidth.

Image/Flash/Text/Behaviour analysis
The NetOp Netfilter is unique in its technology, because it is analysing images, text and the individual behaviour. All results from these individual analysis engines are fed into an artificial intelligence engine giving the final verdict and categorization of the content of an individual webpage.