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Introduction to Machine Learning for TRITON AP-DATA : Comparison with other types of classifiers
Comparison with other types of classifiers
Machine Learning | TRITON AP-DATA | v8.3.x | 15-Dec-2016
The following table summarizes the advantages and disadvantages of the various classifier types:
 
Machine Learning
Fingerprint-ing
Pre-Defined Policies
User-Defined Dictionaries and Regular Expressions
Coverage
High: Covers any document with semantic similarities to the learned data
Medium: Detects only derivatives of fingerprinted documents
Limited to the existing pre-defined types
Unlimited, providing that the user has properly defined the dictionaries and the regular expressions
Accuracy
Depends on the data
Very High
High for data types that are common enough
Medium
"Zero-Day" Protection
High
Very Low
High
High
Size/Footprint
Medium
High
Low
Low
Deployment and Configuration Effort
Medium (may require some tuning)
Medium
Low
High - requires careful setting and tuning
For more information on how to use machine learning, see the following:
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Data Security Manager Help
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Using Machine Learning for Optimal Data Loss Prevention (video)
 

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Introduction to Machine Learning for TRITON AP-DATA : Comparison with other types of classifiers
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