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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Anoni assists professionals in leveraging AI technology while safeguarding the confidentiality of sensitive documents. Various sectors including legal, human resources, healthcare, accounting, consulting, and public administration frequently face challenges when attempting to utilize AI tools due to the presence of personal and sensitive information in contracts, resumes, case files, patient records, and client documents. The traditional approach of manually redacting such information is often tedious, prone to mistakes, and may compromise the usability of the document. To address these issues, Anoni operates by processing documents directly on the user's device, identifying personal and confidential data, and then either anonymizing, pseudonymizing, or redacting it before any sharing, analysis, or AI utilization occurs. Notably, documents remain securely on the user's machine and are not sent to any cloud-based processing service. Developed in France, Anoni is designed for those who prioritize privacy in AI applications, document assessment, teamwork, and data preparation processes. Its features include local processing capabilities, customizable detection settings, realistic pseudonymization techniques, and the ability to generate reports without leaving the user's environment. This ensures that sensitive information is handled with the utmost care while still enabling efficient workflow integration.

Description

Google Cloud's Confidential Computing offers hardware-based Trusted Execution Environments (TEEs) that encrypt data while it is actively being used, thus completing the encryption process for data both at rest and in transit. This suite includes Confidential VMs, which utilize AMD SEV, SEV-SNP, Intel TDX, and NVIDIA confidential GPUs, alongside Confidential Space facilitating secure multi-party data sharing, Google Cloud Attestation, and split-trust encryption tools. Confidential VMs are designed to support workloads within Compute Engine and are applicable across various services such as Dataproc, Dataflow, GKE, and Gemini Enterprise Agent Platform Notebooks. The underlying architecture guarantees that memory is encrypted during runtime, isolates workloads from the host operating system and hypervisor, and includes attestation features that provide customers with proof of operation within a secure enclave. Use cases are diverse, spanning confidential analytics, federated learning in sectors like healthcare and finance, generative AI model deployment, and collaborative data sharing in supply chains. Ultimately, this innovative approach minimizes the trust boundary to only the guest application rather than the entire computing environment, enhancing overall security and privacy for sensitive workloads.

API Access

Has API

API Access

Has API

Screenshots View All

No images available

Screenshots View All

Integrations

AMD Radeon ProRender
Anjuna Confidential Computing Software
Gemini Enterprise Agent Platform
Google Cloud Dataflow
Google Cloud Managed Service for Apache Spark
Google Cloud Platform
Google Kubernetes Engine (GKE)
HashiCorp Vault
Intel Open Edge Platform
NVIDIA DRIVE
Oasis Parcel
Thales Commander

Integrations

AMD Radeon ProRender
Anjuna Confidential Computing Software
Gemini Enterprise Agent Platform
Google Cloud Dataflow
Google Cloud Managed Service for Apache Spark
Google Cloud Platform
Google Kubernetes Engine (GKE)
HashiCorp Vault
Intel Open Edge Platform
NVIDIA DRIVE
Oasis Parcel
Thales Commander

Pricing Details

$0
Free Trial
Free Version

Pricing Details

$0.005479 per hour
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

Anoni

Founded

2026

Country

France

Website

anoni.dev/

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

cloud.google.com/security/products/confidential-computing

Product Features

Product Features

Virtual Machine

Backup Management
Graphical User Interface
Remote Control
VDI
Virtual Machine Encryption
Virtual Machine Migration
Virtual Machine Monitoring
Virtual Server

Alternatives

Alternatives

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