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What is Spherical Defense?

Spherical Defense offers a cutting-edge API security solution that utilizes advanced deep unsupervised learning methods to protect your APIs efficiently. The Express version of Spherical Defense is tailored for AWS deployment and can be set up in under a minute, initiating its defense mechanisms within a two-hour timeframe at a cost-effective rate of just $1 per hour. Once your Spherical instance is operational, it immediately begins to analyze API traffic and continues this process until it accumulates sufficient data for its initial model training. After processing roughly 16,000 requests, the system enters a training phase, refining its security model over a span of approximately six hours, followed by a thorough evaluation. As the system consistently receives incoming data, it remains agile, training additional models to adapt to evolving API traffic patterns. This continual process of training and adjustment ensures that the solution maintains robust protection, rendering it a versatile and proactive safeguard for your APIs. Ultimately, following the assessment of the trained security model, the system enhances its capability to combat future threats with greater efficacy. This adaptability not only fortifies security but also builds trust in the integrity of your API operations.

What is Amazon SageMaker Clarify?

Amazon SageMaker Clarify provides machine learning practitioners with advanced tools aimed at deepening their insights into both training datasets and model functionality. This innovative solution detects and evaluates potential biases through diverse metrics, empowering developers to address bias challenges and elucidate the predictions generated by their models. SageMaker Clarify is adept at uncovering biases throughout different phases: during the data preparation process, after training, and within deployed models. For instance, it allows users to analyze age-related biases present in their data or models, producing detailed reports that outline various types of bias. Moreover, SageMaker Clarify offers feature importance scores to facilitate the understanding of model predictions, as well as the capability to generate explainability reports in both bulk and real-time through online explainability. These reports prove to be extremely useful for internal presentations or client discussions, while also helping to identify possible issues related to the model. In essence, SageMaker Clarify acts as an essential resource for developers aiming to promote fairness and transparency in their machine learning projects, ultimately fostering trust and accountability in their AI solutions. By ensuring that developers have access to these insights, SageMaker Clarify helps to pave the way for more responsible AI development.

Media

Media

Integrations Supported

AWS Marketplace
Amazon S3
Apigee
Kong Konnect
Slack
Splunk Cloud Platform

Integrations Supported

Amazon SageMaker
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)

API Availability

Has API

API Availability

Pricing Information

$1 per hour

Pricing Information

Pricing not provided

Supported Platforms

Linux

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Spherical Defense

Date Founded

2017

Company Location

United States

Company Website

sphericaldefence.com/product/

Company Facts

Organization Name

Amazon

Date Founded

2006

Company Location

United States

Company Website

aws.amazon.com/sagemaker/clarify/

Categories and Features

API Security

Not specified

Categories and Features

AI Infrastructure

Not specified

Machine Learning

Not specified

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