Related Products
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About
Google Cloud’s Confidential Computing delivers hardware-based Trusted Execution Environments to encrypt data in use, completing the encryption lifecycle alongside data at rest and in transit. It includes Confidential VMs (using AMD SEV, SEV-SNP, Intel TDX, and NVIDIA confidential GPUs), Confidential Space (enabling secure multi-party data sharing), Google Cloud Attestation, and split-trust encryption tooling. Confidential VMs support workloads in Compute Engine and are available across services such as Dataproc, Dataflow, GKE, and Gemini Enterprise Agent Platform Notebooks. It ensures runtime encryption of memory, isolation from host OS/hypervisor, and attestation features so customers gain proof that their workloads run in a secure enclave. Use cases range from confidential analytics and federated learning in healthcare and finance to generative-AI model hosting and collaborative supply-chain data sharing.
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About
SecuredAI is a privacy-first AI assistant that protects sensitive information before it is sent to large language models such as OpenAI and DeepSeek. The platform automatically detects personally identifiable information (PII) and other sensitive data, replaces it with context-preserving placeholders, and restores the original values locally on the user's device after the AI generates a response. Its Zero-Knowledge Vault ensures that sensitive information never leaves the device and that encryption keys are never stored on SecuredAI's servers. The platform supports detection of names, email addresses, phone numbers, organization names, account numbers, identifiers, and custom data patterns. SecuredAI is designed to help organizations adopt AI safely without exposing confidential business, legal, financial, or healthcare information.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Enterprises and regulated-industry IT/security teams wanting a tool to process highly sensitive data in the cloud while ensuring full hardware‐enforced isolation, encryption-in-use and cryptographic proof of workload integrity
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Audience
CISOs, compliance and DPO teams, IT and security leaders, and developers in regulated industries (healthcare, finance, legal) who need to use AI tools without exposing PII/PHI or other sensitive data.
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and VideosNo images available
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Pricing
$0.005479 per hour
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationGoogle
Founded: 1998
United States
cloud.google.com/security/products/confidential-computing
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Company InformationSecuredAI
United States
securedai.com
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Categories |
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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
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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
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