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What is Hemmelig.app?

Hemmelig offers a secure way to share sensitive information, enabling encrypted messages that automatically self-destruct after being read. You can paste confidential messages, passwords, or other private data into the platform, ensuring that your sensitive information remains fully encrypted, safe, and confidential. The secret link provided is designed for one-time use only, disappearing as soon as it is accessed, adding an extra layer of protection. This means that once the information is viewed, it can no longer be accessed, guaranteeing that the shared data cannot be retrieved later. Hemmelig provides peace of mind when sharing private details by making sure they are completely erased after being read. With a strong focus on privacy, Hemmelig delivers an easy-to-use solution to share sensitive content securely. The name "Hemmelig," [he`m:(ə)li], which means "secret" in Norwegian, perfectly aligns with its mission to protect the confidentiality of your messages and data at all costs.

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.