How effective are the inbuilt anti-spam mechanisms?
Some of the methods of anti-spam rely on third party information, such as reverse DNS blacklists and SPF (the first relies on people maintaining DNSs with the IP addresses of open relays, spammers, etc., and SPF relies on people adding SPF records for their domains). The Bayesian filter relies on how you train it with good and bad emails – so it can vary in effectiveness. The effectiveness of other methods such as checking for PTR records, requiring senders to use valid domain, etc does depend on how the spammer is sending. If you are concerned as to whether the product will suit your purpose, there is a generous 90 day trial period in which to evaluate the software before committing to buying it. There are also other 3rd party solutions available that will work with MailEnable to reduce spam, such as anti-spam SMTP gateways. These have the advantage of working with all versions of MailEnable.
Related Questions
- What mechanisms does the software have inbuilt that is able to detect and/or prevent errors in the data? Or how does the software or user ensure quality control of the data?
- Where Are We in Meeting the Institutional Challenges of Incorporating Effective Privacy Mechanisms into the Research Process?
- Why is MailInBlack more effective than ordinary anti-spam systems?
