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What is Nightfall?

Discover, organize, and protect your confidential information with Nightfall™, a solution that uses machine learning to identify crucial business data like customer Personally Identifiable Information (PII) across your SaaS platforms, APIs, and data repositories, facilitating effective oversight and security measures. Its rapid integration capability via APIs allows for effortless data monitoring without the requirement for agents, providing a seamless experience. Nightfall’s advanced machine learning algorithms guarantee accurate categorization of sensitive data and PII, ensuring a thorough approach to data protection. You can establish automated workflows for actions such as quarantining, deleting, and alerting, which significantly improves efficiency and strengthens your organization’s security posture. Nightfall easily integrates with all your SaaS applications and data frameworks, making it a versatile tool. Initiate your journey with Nightfall’s APIs at no cost to achieve effective classification and safeguarding of sensitive data. Through the REST API, you can access structured results from Nightfall’s sophisticated deep learning detectors, which can pinpoint sensitive information like credit card numbers and API keys, all while requiring minimal coding efforts. This seamless integration of data classification into your applications and workflows using Nightfall's REST API lays a strong groundwork for effective data governance. By choosing Nightfall, you not only secure your data but also enhance your organization's compliance capabilities while fostering a culture of data responsibility. This comprehensive approach ensures that sensitive information remains protected in an increasingly regulated environment.

What is Amazon SageMaker JumpStart?

Amazon SageMaker JumpStart acts as a versatile center for machine learning (ML), designed to expedite your ML projects effectively. The platform provides users with a selection of various built-in algorithms and pretrained models from model hubs, as well as foundational models that aid in processes like summarizing articles and creating images. It also features preconstructed solutions tailored for common use cases, enhancing usability. Additionally, users have the capability to share ML artifacts, such as models and notebooks, within their organizations, which simplifies the development and deployment of ML models. With an impressive collection of hundreds of built-in algorithms and pretrained models from credible sources like TensorFlow Hub, PyTorch Hub, HuggingFace, and MxNet GluonCV, SageMaker JumpStart offers a wealth of resources. The platform further supports the implementation of these algorithms through the SageMaker Python SDK, making it more accessible for developers. Covering a variety of essential ML tasks, the built-in algorithms cater to the classification of images, text, and tabular data, along with sentiment analysis, providing a comprehensive toolkit for professionals in the field of machine learning. This extensive range of capabilities ensures that users can tackle diverse challenges effectively.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
AWS CloudTrail
Amazon DynamoDB
Amazon RDS
Amazon SageMaker
Bitbucket
Docusign
Drift
Google Cloud BigQuery
Google Slides
HubSpot Marketing Hub
Microsoft 365
Microsoft Azure
Microsoft OneDrive
PostgreSQL
Salesforce
Shopify
Snowflake
Sumo Logic
Twilio

Integrations Supported

Amazon Web Services (AWS)
AWS CloudTrail
Amazon DynamoDB
Amazon RDS
Amazon SageMaker
Bitbucket
Docusign
Drift
Google Cloud BigQuery
Google Slides
HubSpot Marketing Hub
Microsoft 365
Microsoft Azure
Microsoft OneDrive
PostgreSQL
Salesforce
Shopify
Snowflake
Sumo Logic
Twilio

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

Nightfall

Date Founded

2018

Company Location

United States

Company Website

nightfall.ai/

Company Facts

Organization Name

Amazon

Date Founded

2006

Company Location

United States

Company Website

aws.amazon.com/sagemaker/jumpstart/

Categories and Features

Data Loss Prevention

Compliance Reporting
Incident Management
Policy Management
Sensitive Data Identification
Web Threat Management
Whitelisting / Blacklisting

Categories and Features

Machine Learning

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

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