AI-DATA-STUDIO

AI-DATA-STUDIO

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About this website

AI-DATA-STUDIO is a secure data engineering platform developed by Honeypotz Inc. It is designed to run entirely within Trusted Execution Environments (TEEs), which provide hardware-level isolation and encryption for data in use. This architecture ensures that sensitive data remains protected from unauthorized access, even from the cloud provider or the platform itself. The platform offers end-to-end encryption for all data at rest, in transit, and during processing. Users can sign in and access a dashboard that provides an overview of key metrics, including the number of active datasets, running pipelines, AI agents, and TEE attestation success rates. The attestation mechanism continuously verifies that the TEE enclaves are genuine and uncompromised, with a reported 96.7% success rate in the sample data. The platform includes a Pipelines section where users can create, monitor, and manage data processing pipelines. Each pipeline can be assigned an AI processing agent that executes tasks such as data transformation, cleaning, aggregation, or feature extraction. The example pipeline shown is named "Customer Data Processing Pipeline" and is actively running with an AI agent. Users can view the list of all pipelines, check their status, and drill into specific runs for logs and performance details. The AI Agents section allows users to create and configure agents that perform automated tasks. These agents can be linked to pipelines, datasets, or security monitoring workflows. The platform supports zero active agents in the sample, but provides interfaces to create new agents and configure their parameters, including which TEE enclave to use and what permissions to grant. Datasets are managed in a dedicated section where users can upload, version, and catalog data files. Eac

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