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Description
Safeguard your email, documents, and other sensitive information shared beyond your organization with comprehensive control measures. Through features like straightforward classification, embedded labels, and tailored permissions, Azure Information Protection ensures that your data remains secure regardless of its storage location or sharing circumstances. You can set up policies that classify, label, and safeguard data according to its level of sensitivity. Azure Information Protection allows for classification to be fully automated, user-driven, or based on system suggestions. By attaching classification and protection details, you ensure ongoing security that persists with your data, maintaining its safety no matter where it is kept or with whom it is shared. Additionally, you can monitor activities related to shared information and retract access if necessary. Your IT department benefits from robust logging and reporting capabilities to oversee, evaluate, and derive insights from data interactions. This empowers safe sharing of information with colleagues, customers, and partners alike. Clear definitions regarding who can access specific data and the actions they can perform are essential for maintaining control over sensitive information. In this way, Azure Information Protection not only protects your data but also streamlines collaboration across various platforms.
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.
API Access
Has API
API Access
Has API
Integrations
Azure API Apps
Azure API Management
Azure App Service
Azure Application Gateway
Azure Automation
Azure Backup
Azure Bastion
Azure Boards
Azure Costs
Azure CycleCloud
Integrations
Azure API Apps
Azure API Management
Azure App Service
Azure Application Gateway
Azure Automation
Azure Backup
Azure Bastion
Azure Boards
Azure Costs
Azure CycleCloud
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/services/information-protection/
Vendor Details
Company Name
RINA Systems
Country
United States
Website
www.rinasystems.com/product/rinalogy-api.html
Product Features
Data Security
Alerts / Notifications
Antivirus/Malware Detection
At-Risk Analysis
Audits
Data Center Security
Data Classification
Data Discovery
Data Loss Prevention
Data Masking
Data-Centric Security
Database Security
Encryption
Identity / Access Management
Logging / Reporting
Mobile Data Security
Monitor Abnormalities
Policy Management
Secure Data Transport
Sensitive Data Compliance
Product Features
Natural Language Processing
Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization