InBoxer uses sophisticated “language models” based on the way words are commonly used in order to identify patterns in text. Our technology comes from years of experience in the speech recognition industry. We learned learned how to distinguish between words that sound alike by analyzing the entire message.

Now, we can categorize your email using these techniques to analyze the entire message, including headers, attachments, and hidden text. InBoxer augments this with sophisticated pattern matching to find credit card numbers and other patterns to create a highly effective solution.

InBoxer, Inc. has won numerous awards in the U.S. and Europe for its language-based classification products.

InBoxer Domains (Partial List)

Intellectual Property Product and code names Attachments marked as proprietary or confidential Personal, confidential, and PHI (Protected Health Information) Medical terminology for HIPAA Social Security numbers California driver's license numbers Credit card numbers Customer or patient lists Telephone and FAX numbers Account Numbers (patterns you define) Risky recipient email addresses External domains Free mail services Competitive domains Addresses from a list (for "Chinese Wall" applications) Personal versus business mail May not need to be archived Indicator of wasting time or resources

Custom parameters Exact or partial matches for words and phrases Matches from match lists (customer lists, patient lists, etc.) Partial match using “regular expressions” for complex text that fits a particular pattern, such as bank account numbers Offensive content / Hostile work environment (Harassment) Adult content Hate mail Profanity Racial, ethnic or religious slurs Attachment types Images, videos, or music Spreadsheet, word processing, presentation, and database ZIP files By type, size, or name Overview Features Get More Information