Security & privacy analysis
Threat, privacy-risk, network-traffic and data-flow analysis for intelligent and data-intensive systems.
Threat, privacy-risk, network-traffic and data-flow analysis for intelligent and data-intensive systems.
Federated, confidential and secure-computation methods that reduce data exposure in machine-learning systems.
Secure architectures and processing pipelines for sensitive information, analytics and model development.
We offer cybersecurity and privacy analysis for AI and data-intensive systems, covering risks across data, models, infrastructure and computation. Our services include network traffic supervision for anomaly and threat detection, alongside privacy-preserving machine-learning solutions using federated, distributed, confidential and secure-computation methods.
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.