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Average Ratings 0 Ratings
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
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
AMD Radeon ProRender
No
Anjuna Confidential Computing Software
No
Gemini Enterprise Agent Platform
No
Google Cloud Dataflow
No
Google Cloud Managed Service for Apache Spark
No
Google Cloud Platform
No
Google Kubernetes Engine (GKE)
No
HashiCorp Vault
No
Intel Open Edge Platform
No
NVIDIA DRIVE
No
Integrations
AMD Radeon ProRender
Yes
Anjuna Confidential Computing Software
Yes
Gemini Enterprise Agent Platform
Yes
Google Cloud Dataflow
Yes
Google Cloud Managed Service for Apache Spark
Yes
Google Cloud Platform
Yes
Google Kubernetes Engine (GKE)
Yes
HashiCorp Vault
Yes
Intel Open Edge Platform
Yes
NVIDIA DRIVE
Yes
Pricing Details
$0
Free Trial
No
Free Version
Yes
Pricing Details
$0.005479 per hour
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Anoni
Founded
2026
Country
France
Website
anoni.dev/
Vendor Details
Company Name
Founded
1998
Country
United States
Website
cloud.google.com/security/products/confidential-computing
Product Features
Product Features
Virtual Machine
Backup Management
No
Graphical User Interface
No
Remote Control
No
VDI
No
Virtual Machine Encryption
No
Virtual Machine Migration
No
Virtual Machine Monitoring
No
Virtual Server
No