Security & privacy assessment
Security-requirement, privacy-risk, data-flow and exposure analysis for intelligent and data-intensive systems.
What we offer
Privacy-preserving AI
Federated and distributed learning methods that reduce unnecessary data movement and exposure in machine-learning systems.
Encrypted computation
Homomorphic-encryption and confidential-computing approaches for suitable analytics, inference and model workloads.
Secure & Privacy-Preserving AI
We design secure and privacy-preserving AI solutions for sensitive data, models and computation. Our offer combines security-requirement and exposure analysis with federated and distributed learning, homomorphic encryption for suitable encrypted-computation workloads, confidential AI and secure system architecture. We select methods around the required security model, data sensitivity, performance constraints and deployment environment.
- Security requirements & exposure analysis
- Federated & distributed learning
- Homomorphic encryption
- Confidential AI & secure computation
Health Data Analytics & Secure Processing
We design secure processing and analytics solutions for sensitive health-data environments. Our service combines protected data pipelines, privacy and data-flow analysis, appropriate modelling methods and governance-aware system design.
- Secure analytics pipelines
- Privacy and data-flow analysis
- Modelling with sensitive data
- Governance-aware system design