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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 This outdated practice does not align with the demands of contemporary business, which increasingly relies on data analytics and the seamless integration of automated AI and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

Integrations Supported

Dask
Kubernetes
TensorFlow

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online 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

False Positives Reduction

Data Security

Not specified

Categories and Features

AI Development

Not specified

Data Annotation

Not specified

Data Labeling

Not specified

Machine Learning

Not specified

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