Nexent Anti-Virus & Spam Tagging Service

The Nexent Anti-Virus & Spam Tagging Service provides a multi-tier, single source solution for combating the growing threat of email borne viruses and SPAM clogging email content being delivered into business email systems.

The Nexent Anti-Virus Service

This Internet based Anti Virus service keeps dangerous email content away from your mail servers by scanning, blocking and removing virus infected email at the ISP level. Removing malicious content at the higher ISP layer significantly reduces the threat of network virus attacks and helps protect precious Internet bandwidth also.

All SMTP messages from your domain are scanned for all known viruses and malicious content by three independent virus scanners. The anti-virus service pattern files are updated every 15 minutes to ensure continuous protection.

The net result is a virtually impenetrable barrier to all ‘known’ viruses, reinforcing email security and protecting valuable network resources. The use of Heuristic and rules-based Skeptic scanning assists in the detection of viruses before signature pattern updates become available, adding valuable protection against newly released viral content.

The Nexent SPATS service allows organisations to take effective action against the detrimental effects of SPAM entering business email systems.

System clogging SPAM is fast becoming a major issue for organisations worldwide, with well over 50% of all Internet email being either unsolicited or unwanted. The negative effects of SPAM Email is having an impact on business productivity.

Users have to suffer the frustrations of sorting and clearing large volumes of unwanted email on a daily basis. Business productivity is being sapped and as a consequence server and Internet bandwidth performance deteriorates as the overhead of having to process and deliver large volumes of unwanted email content takes it toll on business systems.

The SPATS service delivers an Internet level, multi-layered preventative approach to blocking and removing unwanted email content by:-

Real Time Blacklists

Internet based real-time blacklists are used to ensure the senders host is not a known spammer or compromised host.

Message Classification

Messages are classified as spam, ham, or clean by a combination of :

Traditional Rulesets

Traditional rulesets are used to initially score the message content based on predefined sets of rules.

Bayesian Filtering

Bayesian Filtering is used to further classify the message content based on often seen content learnt by the system.

Distributed World Wide Spam Checks

Distributed Checks are utilised to compare the message content with internet based databases of known spam.

Automatic White/Black Listing

As with Bayesian filtering, the auto-learning aspect of the system can lead to automatic white and black listing.

Customer White/Black Listing

Customers can override previous settings and have their own individual black or white.