Symantec Brightmail Anti-Spam™ - Enterprise Edition

Symanatec Brightmail Anti-Spam™ is a high performance software solution that blocks spam at the Internet gateway. Combining several patented techniques, Brightmail Anti-Spam offers the best accuracy rate available in spam filtering technology, with an industry leading false positive rate of fewer than 1 false positive in every 1 million messages identified as spam.

Key Features

Catches the Most Spam

Brightmail's complete spam defense leverages a cocktail of effective technologies, a huge spam detection network, and a real-time rule delivery mechanism.

  • Six separate technologies target different types of spam

  • Proactive heuristic and machine learning technologies trap evolving spam

  • Patented spam signatures stop real-time spam attacks

  • Dynamic list of open proxy servers identifies and locks out known senders of spam

  • Intelligent filters identify foreign language spam

 

Highest Accuracy

False positives (messages incorrectly identified as spam) cause users to lose faith in spam blocking. From day one, Brightmail has had an unwavering commitment to protecting legitimate mail. Many Brightmail customers feel comfortable deleting spam without review.

  • Automated and manual safeguards

  • Support for false positive submissions

  • Review (by a Brightmail technician) of every false positive

  • Corrected rules deployed globally within minutes

  • Only introduces a new technology after it has passed rigorous accuracy standards

Zero Administration

Many anti-spam solutions place even more burden on administrators. Immediately effective out-of-the box and constantly updated, Brightmail doesn't require any tuning or training of filters by administrators.

  • 24/7/365 protection from new spam attacks

  • Automatic, timely, secure updates

  • New filters available every 10 minutes

  • Global anti-spam operations centers with facilities in the US, Ireland and Australia

  • Real time visibility of new spam trends

  • No ongoing tuning or training of filters