Secure
Interactive Environments for SensiTive data Analytics

Effective and secure data processing within the European Open Science Cloud

Secure
Interactive Environments for SensiTive data Analytics

Effective and secure data processing within the European Open Science Cloud


Discover our solutions

Interactive dashboard

Portal with a set of tools and services to ease the secure sharing of sensitive data

security hardening

Secure computing platform providing a trusted execution environment

STORAGE

S3 storage management system for sharing the storage between teams

THEMATIC CATALOGS

Dedicated services catalogs, such as epidemiology, text anonymization or epidemiology

PRIVACY TOOLS

Specific anonymization and differential privacy tools can be used interactively



Use cases


Latest from EOSC-SIESTA:

  • Final day of the SIESTA Project All-Hands Meeting at IFCA

    Final day of the SIESTA Project All-Hands Meeting at IFCA

    The second day of the SIESTA Project All-Hands Meeting at the Institute of Physics of Cantabria (IFCA) was marked by insightful discussions and collaborative efforts across key research areas. The sessions provided an opportunity for experts to analyze challenges, share knowledge, and refine strategies to advance the project’s goals. The day began with a focus… Read more..

  • First Day of the All-Hands Meeting for the SIESTA Project at the Institute of Physics of Cantabria (IFCA)

    First Day of the All-Hands Meeting for the SIESTA Project at the Institute of Physics of Cantabria (IFCA)

    Today, the Institute of Physics of Cantabria (IFCA) hosted a key working meeting as part of the SIESTA project, bringing together 33 representatives from the various partner organizations involved in the research. Led by Álvaro López García, the event stood out for its collaborative approach, aiming to review progress, share knowledge, and strengthen coordination among… Read more..

  • Ensuring Data Privacy in AI: A Practical Guide with Anjana

    Ensuring Data Privacy in AI: A Practical Guide with Anjana

    Data privacy is a key challenge in the development of artificial intelligence. As AI models increasingly rely on vast amounts of data, protecting sensitive information while maintaining usability is more critical than ever. As part of the SIESTA research project, within the European Open Science Cloud (EOSC), Judith Sáinz-Pardo Díaz and Álvaro López García have… Read more..


Consortium