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What is Visual Identity Suite?

The Visual Identity Suite (VIS), an essential part of the Core Security Identity Governance and Administration portfolio that succeeded offerings from Courion, empowers organizations to reassess user privileges and access certifications through a novel, visual-oriented approach. Its intuitive graphical interface allows stakeholders to effortlessly assess common user entitlements and quickly identify discrepancies, enabling them to make well-informed decisions regarding access permissions. By providing a visual representation of access settings, VIS is instrumental in managing identity risks and preventing chaos related to identity management. For organizations to effectively mitigate these identity risks, they need to adopt a smart and transparent identity governance framework across all operational areas. This strategy involves employing a visual-first method for developing and administering roles as well as performing access reviews, which, when paired with contextually driven intelligence, optimizes the workflow of identity governance and administration while boosting overall operational effectiveness. Ultimately, embracing VIS not only enhances oversight but also cultivates a more robust and secure organizational environment, thereby ensuring that security measures are both comprehensive and effective. By prioritizing visual insights, organizations can stay ahead of potential risks and foster a culture of security awareness.

What is PAT-Man?

In light of the rigorous quality standards imposed by the automotive industry, semiconductor companies are progressively implementing Part Average Testing (PAT) to enhance product reliability. This approach aims to pinpoint and eradicate "outlier" components that may pass standard testing but exhibit atypical characteristics, thus alleviating long-term quality and reliability issues. Through comprehensive statistical evaluations of various devices and adjustments to the pass/fail criteria, PAT facilitates the early identification of these faulty parts, ensuring that only top-grade components are sent out in production batches. Although Part Average Testing (PAT), as detailed in the Automotive Electronics Council AEC-Q001-Rev C guidelines, mainly concentrates on DPM methodologies for normal (Gaussian) distributions, many practical situations involve non-conforming distributions. Therefore, it becomes crucial to adopt specialized PAT outlier detection methods to avert substantial yield losses or incorrect outlier designations. To tackle these difficulties, PAT-Man presents itself as a powerful solution for implementing effective Part Average Testing (PAT). This groundbreaking tool not only improves the reliability of semiconductor products but also optimizes the testing workflow, ultimately providing significant advantages to both manufacturers and consumers. Additionally, by integrating advanced analytics and machine learning techniques, PAT-Man can further refine the identification process, ensuring that the semiconductor industry continues to meet the evolving demands for quality and performance.

Media

Media

Integrations Supported

Active Directory
Amazon Web Services (AWS)
Microsoft Azure
Microsoft Entra ID
Okta
SailPoint

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Core Security (Fortra)

Date Founded

1996

Company Location

United States

Company Website

www.coresecurity.com/products/visual-identity-suite

Company Facts

Organization Name

Galaxy

Company Location

United States

Company Website

www.galaxysemi.com/products/pat-man

Categories and Features

Engineering

Not specified

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