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Confer

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What is Google Cloud Confidential VMs?

Google Cloud's Confidential Computing provides hardware-based Trusted Execution Environments (TEEs) that ensure data is encrypted during active use, thus finalizing the encryption for data both at rest and while in transit. This comprehensive suite features Confidential VMs, which incorporate technologies such as AMD SEV, SEV-SNP, Intel TDX, and NVIDIA confidential GPUs, as well as Confidential Space to enable secure multi-party data sharing, Google Cloud Attestation, and split-trust encryption mechanisms. Confidential VMs are specifically engineered to support various workloads within Compute Engine and are compatible with numerous services, including Dataproc, Dataflow, GKE, and Vertex AI Workbench. The foundational architecture guarantees encryption of memory during runtime, effectively isolating workloads from the host operating system and hypervisor, and also includes attestation capabilities that offer clients verifiable proof of secure enclave operations. Use cases for this technology are wide-ranging, encompassing confidential analytics, federated learning in industries such as healthcare and finance, deployment of generative AI models, and collaborative data sharing within supply chains. By adopting this cutting-edge method, the trust boundary is significantly reduced to only the guest application, rather than the broader computing environment, which greatly enhances the security and privacy of sensitive workloads. Furthermore, this innovative solution empowers organizations to maintain control over their data while leveraging cloud resources efficiently.

What is Confer?

Confer is an AI assistant built from the ground up with privacy as its core principle, created by Signal co-founder Moxie Marlinspike. It offers a familiar chat-based interface similar to popular AI tools while completely rejecting data collection and advertising models. Unlike traditional AI services, Confer cannot read, store, or reuse user conversations under any circumstances. All communication is encrypted using WebAuthn passkeys, protecting messages in transit. The AI’s inference process runs entirely within a Trusted Execution Environment, adding another layer of protection against data exposure. Remote attestation systems continuously verify that the infrastructure remains uncompromised. Confer relies on open-weight foundation models rather than opaque, proprietary systems. This design ensures transparency and builds trust with privacy-minded users. While the technical setup is more complex, it allows users to have deeply personal conversations securely. Confer includes a free tier with usage limits for light users. A premium subscription unlocks unlimited messaging, personalization, and access to more advanced models. Overall, Confer demonstrates that powerful AI tools can exist without sacrificing user privacy.