Privatemode AI Description
Privatemode offers an AI service similar to ChatGPT, distinguished by its commitment to user data privacy.
By utilizing confidential computing techniques, Privatemode ensures that your data is encrypted right from your device, maintaining its protection throughout the AI processing stages. This guarantees that your sensitive information is safeguarded at every step.
Key features include:
Complete encryption: Thanks to confidential computing, your data is continuously encrypted, whether it is being transferred, stored, or processed in memory.
Comprehensive attestation: The Privatemode application and proxy confirm the integrity of the service using cryptographic certificates issued by hardware, ensuring trustworthiness.
Robust zero-trust architecture: The design of the Privatemode service actively prevents any unauthorized access to your data, including from Edgeless Systems.
EU-based hosting: The Privatemode infrastructure is located in premier data centers within the European Union, with plans for additional locations in the near future.
This commitment to privacy and security sets Privatemode apart in the landscape of AI services.
Privatemode AI Alternatives
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Keeper Security
Password security is the foundation of cybersecurity. Keeper's powerful password security platform will protect your business from cyberthreats and data breaches related to passwords.
Research shows that 81% of data breaches can be attributed to weak passwords. Password security platforms are an affordable and easy way for companies to address the root cause of most data breaches. Your business can significantly reduce the risk of data breaches by implementing Keeper.
Keeper creates strong passwords for all websites and apps, then secures them on all devices. Each employee receives a private vault to store and manage their passwords, credentials and files, as well as private client data. Employees will save time and frustration by not having to remember, reset, reuse, or remember passwords. Industry compliance is achieved through strict and customizable role-based access controls. This includes 2FA, usage auditing, and event reporting.
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NVIDIA Confidential Computing
NVIDIA Confidential Computing safeguards data while it is actively being processed, ensuring the protection of AI models and workloads during execution by utilizing hardware-based trusted execution environments integrated within the NVIDIA Hopper and Blackwell architectures, as well as compatible platforms. This innovative solution allows businesses to implement AI training and inference seamlessly, whether on-site, in the cloud, or at edge locations, without requiring modifications to the model code, all while maintaining the confidentiality and integrity of both their data and models. Among its notable features are the zero-trust isolation that keeps workloads separate from the host operating system or hypervisor, device attestation that confirms only authorized NVIDIA hardware is executing the code, and comprehensive compatibility with shared or remote infrastructures, catering to ISVs, enterprises, and multi-tenant setups. By protecting sensitive AI models, inputs, weights, and inference processes, NVIDIA Confidential Computing facilitates the execution of high-performance AI applications without sacrificing security or efficiency. This capability empowers organizations to innovate confidently, knowing their proprietary information remains secure throughout the entire operational lifecycle.
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Google Cloud Confidential VMs
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.
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Pricing
Pricing Starts At:
€5/1M tokens
Pricing Information:
API: €5/1M tokens
Free Trial:
Yes
Integrations
API:
Yes, Privatemode AI has an API
No Integrations at this time
Company Details
Company:
Privatemode
Headquarters:
Germany
Website:
www.privatemode.ai/
Media
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Product Details
Platforms
Windows
Mac
Types of Training
Training Docs
Customer Support
Online Support
Privatemode AI Features and Options
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