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Duality

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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 Gemini Enterprise Agent Platform Notebooks. 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 Duality?

Duality Technologies delivers a state-of-the-art privacy-enhancing platform that empowers enterprises to securely collaborate, analyze, and run AI models on sensitive, distributed, or inaccessible data without ever exposing the underlying information. Utilizing cutting-edge Privacy Enhancing Technologies (PETs) such as fully homomorphic encryption, federated learning, and trusted execution environments, Duality ensures data confidentiality, sovereignty, and regulatory compliance throughout the data science lifecycle. The platform enables seamless secure collaboration across organizational boundaries, data silos, and international borders, facilitating use cases in finance, healthcare, government, and marketing. With Duality, organizations can unlock deep insights, improve research capabilities, and accelerate data-driven innovation without the risks associated with data sharing or movement. It integrates effortlessly with major cloud service providers including AWS, Microsoft Azure, and Google Cloud, offering scalable and verifiable compliance-driven workflows. Duality’s collaboration hub manages governance and controls, allowing enterprises to securely share and analyze encrypted data with partner organizations. The platform supports complex AI workloads with privacy-first design, enabling customers to safely evaluate third-party AI models and securely train their own on encrypted datasets. Industry leaders trust Duality to balance powerful data science with uncompromising privacy, driving competitive advantage through secure collaboration. Their technology also underpins government programs requiring post-quantum security and zero-trust principles. Overall, Duality transforms how sensitive data is utilized, allowing organizations to harness AI innovation while maintaining absolute control over privacy and compliance.