
NIS2COMPASS: Turning Cybersecurity Work Into Verifiable Proof
SmartClover and AI STM Learning are building a practical evidence layer for NIS2 readiness, funded through the CYberSynchrony FSTP open call.
Articles on cervical-screening workflows, research data preparation, healthcare deployment boundaries, and security evidence that can be reviewed by clinical, technical, and partner teams.

SmartClover and AI STM Learning are building a practical evidence layer for NIS2 readiness, funded through the CYberSynchrony FSTP open call.

How SmartClover is using DataGems to explore structured synthetic-data workflows, traceable generation jobs, and reviewable exports for healthcare AI research.

CerviGuard combines secure clinical workflows with AI-assisted triage, grounded in lessons from field screening and follow-up research in underserved communities.

How SmartClover scopes healthcare AI security work across deployment boundaries, partner tooling, authorized expertise, and traceable evidence.

How SmartClover scopes healthcare AI deployment across edge/on-prem workers, cloud coordination, and traceable release records.

How SmartClover connects healthcare AI research to source evidence, clinical review, and workflow design.