Posts by Rene Kolga

2 results

Clear filters
  • DEC. 9, 2025 / AI

    Don't Trust, Verify: Building End-to-End Confidential Applications on Google Cloud

    Google Cloud enables end-to-end confidential applications, protecting sensitive data 'in-use' with hardware isolation. The solution combines Confidential Space (TEE/attestation), Oak Functions (private sandbox), and Oak Session (attested end-to-end encryption for scale). This framework anchors user trust in open-source components, proving confidentiality for sensitive workloads like proprietary GenAI models, even when running behind untrusted load balancers.

    Security-1-banner
  • JULY 11, 2024 / Gemma

    Enabling more private generative AI

    Google has developed a number of technologies that you can use to start experimenting with and exploring the potential of generative AI to process data that needs to stay private.

    AI-for-Developers-Feature