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What is Gate22?

Gate22 functions as a comprehensive platform for AI governance and Model Context Protocol (MCP) control that is tailored for enterprises, providing centralized management of the security and oversight of AI tools and agents interacting with MCP servers. It enables administrators to onboard, configure, and manage both internal and external MCP servers, offering granular permissions at the functional level, team-oriented access controls, and role-specific policies to guarantee that only approved tools and capabilities are accessible to the appropriate teams or individuals. By delivering a unified MCP endpoint, Gate22 consolidates multiple MCP servers into an easily navigable interface with just two main functions, which helps to lessen token consumption for developers and AI clients while effectively reducing context overload and maintaining both accuracy and security. The platform features an administrative interface with a governance dashboard that tracks usage patterns, ensures compliance, and applies least-privilege access, while the member interface streamlines and secures access to authorized MCP bundles. This dual perspective not only enhances operational productivity but also fortifies the overall security infrastructure within the organization. Additionally, the integration of these functionalities fosters a collaborative environment where teams can work more effectively while adhering to compliance standards.

What is Amazon Verified Permissions?

Amazon Verified Permissions is a fully managed authorization service that leverages the Cedar policy language, which is designed for provable accuracy, thus enabling the development of more secure applications. By implementing Verified Permissions, developers can streamline the application development process by decoupling authorization from core business logic and consolidating policy management. This service also plays a critical role in ensuring that authorization mechanisms within applications comply with Zero Trust principles, which enhance overall security posture. Security and audit teams benefit from improved capabilities to scrutinize and monitor access rights across applications, promoting greater transparency and adherence to compliance standards. By embracing the principle of least privilege, organizations can effectively protect application resources and regulate user access more efficiently. Moreover, Amazon Verified Permissions serves as a robust, Cedar-compatible solution for fine-grained authorization and permissions management, tailored to meet the specific requirements of various applications. With the Cedar policy language, developers and administrators are empowered to design access controls that are both highly expressive and efficient, simplifying the analysis process and fostering a secure application ecosystem. Ultimately, this service not only bolsters security but also allows teams to prioritize innovation and agility without compromising on protective measures. As a result, organizations can confidently navigate the complexities of modern application security while ensuring their resources remain safeguarded.

Media

Media

Integrations Supported

Model Context Protocol (MCP)

Integrations Supported

AWS AppSync
AWS Lambda
Amazon API Gateway
Amazon Web Services (AWS)
Cedar

API Availability

API Availability

Has API

Pricing Information

Free
Free Version

Pricing Information

$0.00015 per request
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

ACI.dev

Company Location

United States

Company Website

gate22-docs.aci.dev/introduction/overview

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/verified-permissions/

Categories and Features

MCP Gateways

Not specified

ML Model Management

Not specified

Categories and Features

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