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What is comForte?

Data-centric security plays an essential role in shaping your business strategy. Traditional security approaches often focus on the perimeter around data, leading to isolated systems that can hinder the accessibility and functionality of information. This outdated practice does not align with the demands of contemporary business, which increasingly relies on data analytics and the seamless integration of automated AI and machine learning processes. By implementing tokenization of sensitive data elements while preserving their original format, data-centric security transforms how your organization protects, manages, audits, and leverages its most vital information. Additionally, a robust data-centric security solution goes beyond simple protection; it offers a comprehensive platform for data discovery and protection that can evolve and grow in tandem with the organization. This adaptable framework not only fortifies your sensitive data but also ensures it remains easily accessible for strategic initiatives. Ultimately, committing to this all-encompassing approach guarantees that your critical data is both safeguarded and primed for optimal utilization in driving business success.

What is Snorkel AI?

The current advancement of AI is hindered by insufficient labeled data rather than the models themselves. The emergence of a groundbreaking data-centric AI platform, utilizing a programmatic approach, promises to alleviate these data restrictions. Snorkel AI is at the forefront of this transition, shifting the focus from model-centric development to a more data-centric methodology. By employing programmatic labeling instead of traditional manual methods, organizations can conserve both time and resources. This flexibility allows for quick adjustments in response to evolving data and business objectives by modifying code rather than re-labeling extensive datasets. The need for swift, guided iterations of training data is essential for producing and implementing high-quality AI models. Moreover, treating data versioning and auditing similarly to code enhances the speed and ethical considerations of deployments. Collaboration becomes more efficient when subject matter experts can work together on a unified interface that supplies the necessary data for training models. Furthermore, programmatic labeling minimizes risk and ensures compliance, eliminating the need to outsource data to external annotators, thus safeguarding sensitive information. Ultimately, this innovative approach not only streamlines the development process but also contributes to the integrity and reliability of AI systems.

Media

Media

Integrations Supported

Dask
Kubernetes
TensorFlow

Integrations Supported

Dask
Kubernetes
TensorFlow

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

comForte

Date Founded

1998

Company Location

Germany

Company Website

www.comforte.com/data-security

Company Facts

Organization Name

Snorkel AI

Date Founded

2019

Company Location

United States

Company Website

snorkel.ai/

Categories and Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

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

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Data Labeling

Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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