Agnitum Spam Terrier 2.0

Software Information

0 / from 0 votes

Downloads : 11
Views : 1.1k
File Size : 1.4 MB
0/54 Virus Flags

Windows
Freeware
Price: $0
Home Page

Developed By : Agnitum Ltd. (3 more)

Screenshot

From: Agnitum Ltd.

Spam Terrier brings comprehensive antispam protection to users of varying computer skills. It comes free and doesnt stress even a low-end computer. Effortlessly integrating into popular email applications such as The Bat! and Vista-included Windows Mail the program provides a wide array of filtering options including self-learning Bayesian-based filter that can be trained to individual preferences. As you train the filter it will improve spam detection as it learns new spam characteristics and adjusts to them. Other filtering criteria include senders white- and blacklists customized message content that will be analyzed when the mail arrives. On-demand spam scan allows for scanning of already received messages throughout any folder. These plus a handful of other innovative features make Spam Terrier the ideal antispam solution. The program supports Windows 64-bit platforms providing automated and hassle-free spam protection for new-age computing.

Download

Download Agnitum Spam Terrier

Title	Agnitum Spam Terrier
Author	Agnitum Ltd.
File Name	SpamTerrierInstall.exe
File Size	1.4 MB
Requirements	450 Mhz CPU (x-86/x-64/multi-core), 256 Mb RAM, 100 Mb free disk space.
OS	WinXP,Windows2000,Windows2003,Windows2008,Windows Vista Ultimate,Windows Vista Ultimate x64,Win98,WinME,Windows Vista Starter,Windows Vista Home Basic,Windows Vista Home Premium,Windows Vista Business,Windows Vista Enterprise,Windows Vista Home Basic x64,
Languages	English,French,German,Russian,Spanish
Published On	2015-02-05 06:31:41
Change Log	Overhauled database management and improved engine training as a result of:- time-based database separation- faster and more granular processing- database size balancing- accelerated learning from the interface.
Tagged As	Free antispam, Spam filter, Antispam module, Self-learning antispam, Adaptive antispam, Content analysis,