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Description
Confer is a privacy-first AI chatbot developed by Signal founder Moxie Marlinspike to challenge the data practices of popular AI assistants. It mirrors the conversational experience of tools like ChatGPT while eliminating the risk of user data collection. Confer is built so that conversations cannot be accessed, stored, or monetized by the service itself. Messages are protected using WebAuthn-based encryption, ensuring secure communication between users and the AI. On the backend, all processing occurs inside a Trusted Execution Environment with remote attestation safeguards. The system uses open-weight AI models to handle a wide range of user queries. This approach makes Confer far more complex than traditional AI setups but significantly more secure. Users can safely discuss highly personal topics without worrying about surveillance or profiling. Confer offers a limited free tier for casual use. A paid plan unlocks unlimited access and more advanced capabilities for privacy-conscious users.
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
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
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
Pricing Details
$35/month
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
Confer
Website
confer.to/
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
Graphical User Interface
Remote Control
VDI
Virtual Machine Encryption
Virtual Machine Migration
Virtual Machine Monitoring
Virtual Server