Solutions by

Industry

Machine Learning (ML) and Natural Language Processing (NLP)

In Getvisibility, we are continuously improving our master ML model that is available to all our customers. We have built an extensive taxonomy set that covers over 70 various categorization labels. We label each document under a high-level category such as HR or Finance or Legal and so forth. This allows us to have a very granular view on the data content, allowing our customers to precisely understand the content of each document and file stored across the company’s estate. Our machine learning models are used for both automated data discovery and classification of your legacy data, and we now also help to classify newly created data at a point of creation on users endpoints (laptops and desktops). We also allow you to create custom ML models that capture your perspective on data classification. You can create custom labels by showing our software samples of such data.

Financial

HELPING WITH COMPLIANCE AND IP PROTECTION

As financial service organizations accelerate their digital transformation, data security breaches are more common than ever...

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Healthcare

HELPING WITH COMPLIANCE AND IP PROTECTION

Healthcare organizations generate significant digital document assets and share these with email systems.

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Insurance

HELPING WITH COMPLIANCE AND IP PROTECTION

Data security breaches are more common than ever and more expensive.

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Manufacturing

SECURING THE DATA THAT POWERS YOUR BUSINESS

Manufacturers might accumulate large amounts of digital assets that describe their products, processes, methods and...

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Pharmaceutical

COMPLIANCE AND IP PROTECTION

These days, data security breaches are more common than ever and more expensive.

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Legal

HELPING WITH COMPLIANCE AND IP PROTECTION

Effective data classification helps law firms to not only protect the integrity of client data, but also demonstrate best practice in...

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Oil & Gas

HELPING WITH COMPLIANCE AND IP PROTECTION

These days, data security breaches are more common than ever and more expensive.

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