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Armet AI

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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 Armet AI?

Armet AI presents a powerful GenAI platform focused on security through Confidential Computing, which encompasses every aspect from data ingestion and vectorization to LLM inference and response management within secure enclaves enforced by hardware. By leveraging advanced technologies such as Intel SGX, TDX, TiberTrust Services, and NVIDIA GPUs, the platform guarantees that data remains encrypted in all states—whether at rest, in transit, or during processing. This encryption is fortified with AI Guardrails that automatically sanitize sensitive inputs, implement security protocols, spot inaccuracies, and comply with established organizational standards. Moreover, the platform enhances Data & AI Governance by offering consistent role-based access controls, promoting collaborative project frameworks, and enabling centralized management of access rights. Its End-to-End Data Security ensures a zero-trust encryption model across all layers, including storage, transit, and processing. Additionally, its commitment to Holistic Compliance secures adherence to regulations such as GDPR, the EU AI Act, and SOC 2, effectively protecting sensitive data like PII, PCI, and PHI, which in turn bolsters the integrity and confidentiality of data management processes. By focusing on these critical security and compliance elements, Armet AI enables organizations to harness AI capabilities without compromising on safety measures. Ultimately, this empowers businesses to innovate confidently while ensuring that their data handling practices are both secure and compliant.