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Description

The Rinalogy Classification API offers a flexible machine learning solution that seamlessly integrates into your existing application while allowing you to operate within your own infrastructure. In contrast to traditional cloud-based machine learning APIs that necessitate data transfer and operate in an external environment, Rinalogy allows for deployment within your IT framework, ensuring data security and compliance as it works behind your firewall. This API utilizes Exhaustive Sequential Classification, systematically applying models to every document within a dataset. The models generated can be enhanced with additional training data or leveraged for predicting outcomes on new documents at a later time. With its ability to scale through cluster deployment, you can modify the number of workers based on your current workload needs. Furthermore, the Rinalogy API empowers client applications by incorporating features such as text classification, enhanced search capabilities, and personalized recommendations, providing a comprehensive toolkit for data-driven decision-making. This versatility makes it an appealing choice for organizations aiming to optimize their machine learning processes while maintaining control over their data.

Description

Assist organizations in enhancing their data protection strategies through the utilization of data discovery, file analysis, and classification techniques. Safeguard your entire data environment with SISA Radar's capabilities in data discovery and classification. Effectively arrange and categorize sensitive data according to its importance and organizational requirements. Acquire contextual insights that facilitate improved management of sensitive information. Achieve comprehensive visibility into various forms of sensitive data, including structured, semi-structured, and unstructured types. Ensure the safeguarding of data against unauthorized access while adhering to compliance standards such as PCI DSS, GDPR, CCPA, POPIA, PDPA, APRA, and other privacy regulations. Develop and personalize your own data classification framework to suit specific needs. Adopt a scalable and resilient strategy for advanced data security in the future. Utilize a singular platform designed to uncover, identify, and contextualize sensitive information efficiently. With a proprietary data discovery algorithm, experience quicker detection times and a significant reduction in false positives, ultimately enhancing your overall data protection efforts. This comprehensive approach will ensure that your organization remains resilient in the face of evolving data security challenges.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

RINA Systems

Country

United States

Website

www.rinasystems.com/product/rinalogy-api.html

Vendor Details

Company Name

SISA Information Security

Founded

2003

Country

India

Website

sisainfosec.com

Product Features

Natural Language Processing

Co-Reference Resolution No 
In-Database Text Analytics No 
Named Entity Recognition No 
Natural Language Generation (NLG) No 
Open Source Integrations No 
Parsing No 
Part-of-Speech Tagging No 
Sentence Segmentation No 
Stemming/Lemmatization No 
Tokenization No 

Product Features

Data Discovery

Contextual Search No 
Data Classification No 
Data Matching No 
False Positives Reduction Yes 
Self Service Data Preparation No 
Sensitive Data Identification Yes 
Visual Analytics No 

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