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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Customer information is strictly accessed solely for the purpose of meeting contractual requirements, and any access by support or engineering teams necessitates a valid business reason. The near real-time logs provide a detailed account of when Google Cloud administrators interact with your data, allowing you to approve or reject access requests made by Google employees assisting your service. Enhancing visibility and control over your cloud provider is achievable through the utilization of admin access logs and approval mechanisms. A lack of ability to audit access by a cloud provider can pose significant challenges when migrating to the cloud. Access Transparency allows you to verify when your cloud provider has accessed your information, thereby aligning your audit measures more closely with those of on-premises systems. Furthermore, Access Approval facilitates the process of either endorsing or denying access requests from Google employees who are involved in supporting your service. These Access Transparency logs can be found in Cloud Logging and can be seamlessly integrated into your existing analysis workflows or tool exports, enhancing your operational efficiency. This level of oversight is crucial for maintaining security and compliance in a cloud environment, ultimately giving you peace of mind.

Description

VDF AI serves as a robust platform for enterprise AI agents, allowing businesses to construct, implement, manage, and operate secure AI agents in various environments, including on-premises, private-cloud, and cloud settings. This innovative platform integrates multi-agent orchestration with private retrieval-augmented generation (RAG), alongside features like model registration and routing, governed tool execution, policy controls, auditability, and seamless enterprise integrations. Organizations are empowered to connect authorized local or cloud LLMs, develop reusable agents and workflows, and manage data isolation by company, department, or individual, ensuring stringent control over sensitive data. Designed for deployment in environments that are both regulated and sensitive to data, VDF AI supports essential human approval processes, role-based access, observability, and managed deployment via containerized infrastructure. It facilitates a transition for enterprises from fragmented AI pilot projects to large-scale, governed AI operations, while also mitigating vendor lock-in and prioritizing data sovereignty. Ultimately, VDF AI not only enhances operational efficiency but also fosters trust and compliance within the organization.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

No images available

Integrations

Google Cloud Logging
Google Cloud Platform

Integrations

Google Cloud Logging
Google Cloud Platform

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

cloud.google.com/security/products/access-transparency

Vendor Details

Company Name

VDF AI

Founded

2025

Country

Sweden

Website

vdf.ai/

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