Security posture that adapts to value of protected data

Natural Language processing (NLP)

Not all data is created equal.  The value of the data is most often determined by the business use cases the data is used for.  However, a lot of data also requires special treatment just because of laws and regulations (e.g., PII, credit card, etc.) 

Transformer based on BERT for Classification (Custom Taxonomy supported):

  • AI Engine utilizes transformer-based models, specifically leveraging techniques based on BERT (Bidirectional Encoder Representations from Transformers).
  • Transformers have revolutionized natural language processing (NLP) tasks by capturing contextual information and relationships within textual data. Theom extends transformers for custom data taxonomies understanding business context. 
  • Theom's AI engine employs transformer models to perform classification tasks, such as categorizing data access events, behavior anomalies, and security incidents.
  • By leveraging BERT and transformer-based architectures, AI Engine enables accurate and contextual classification, enhancing Theom's ability to identify and respond to potential threats with the understanding of data and business context.
  • Theom's classification engines adapt to custom business and data needs for enterprises.