TITAN
Trusted AI systems through confidential computing and privacy-preserving technologies.
What TITAN sets out to do.
TITAN is a 36-month project that develops secure and trustworthy confidential data processing and sharing capabilities, and demonstrates them in the EOSC ecosystem.
The sharing of sensitive data follows FAIR data and open-science principles, with significant emphasis on privacy preservation and AI solutions aligned to EU ethical, regulatory, and legal boundaries. The open-source software platform focuses on two use cases: government data and healthcare.
Key objectives
- Trusted AI infrastructure: Secure infrastructure for AI/ML workloads using confidential computing technologies.
- Privacy-preserving ML: Collaborative machine learning that preserves data privacy across multiple stakeholders.
- Secure data sharing: Secure multi-party computation protocols for confidential data exchange and processing.
- TEE integration: Hardware-based security features that protect AI models and training data.
Expected outcomes
- Confidential AI platform: A secure platform for training and deploying AI models in untrusted environments.
- Privacy-preserving protocols: Advanced protocols for secure collaborative AI across organizations.
- TEE-enabled ML: Machine-learning frameworks optimized for Trusted Execution Environments.
- Secure model deployment: Tools and frameworks for deploying AI models with confidentiality guarantees.
Ultraviolet's role.
Ultraviolet brings extensive expertise in confidential computing and privacy-preserving technologies to TITAN. Our experience with TEEs, secure multi-party computation, and collaborative AI platforms positions us as a key contributor to developing trusted AI systems.
Collaborating with leading organizations across Europe.
Trusted AI for regulated industries.
TITAN's research directly informs our healthcare and government AI deployments. Talk to the team.