Privacy enhancement

Processing confidential data privately.

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Services

Privacy technology engineering

Multi-party computing (MPC)

Trusted Execution Environment (TEE)

Synthetic data

Partially Encrypted Database (PEDB)

Audits

Audit of data processors of company or organisation

Analyse privacy of data in business processes

Risk analyses of systems or applications

Consultancy

Data protection impact assessment (DPIA)

Privacy enhancing technologies (PET) implementation

IT compliance

References

“It's hard to convince companies to disclose data about their financial state. At the same time, everyone is interested in the health of the industry as a whole. Secure multiparty computation is considered trustworthy by members of the ITL.”

Teet Jagomägi

ITL Board Member

Reports for the Estonian Government

Roadmap for the implementation of privacy enhancing technologies for the Ministry of Economic Affairs and Communications.

Technical report on the applicability of biometric solutions (face recognition) to complement the identification process in remote electronic voting in Estonia for the Information System Authority (RIA)

Study and training videos on cyber security aspects of AI systems for the Information System Authority (RIA)

Analysis of technological solutions of positive credit register for the Ministry of Finance of Estonia

Project CoNurse for Cognuse OÜ

Data protection impact assessment for the CoNurse mobile application

Machine learning in Trusted Execution Environment (Sharemind HI)

Point-of-Care Mobile App for voice-guided nursing procedures

Audit of data processors of companies belonging to Omniva Group

Mapping processors of:

  • data management service providers;

  • subcontractors;

  • other contract parties.

Project JOCONDE for Eurostat

Designing a system for European Statistical System members (ESS) and their partners to perform secure private computing tasks

The combination of multiple technologies (MPC, TEE) and security/privacy layers with complementary security guarantees to achieve the highest possible degree of protection and trustworthiness.

Data protection impact assessment and trust building roadmap.

Analysis of technological solutions of positive credit register for Ministry of Finance of Estonia (OPTIMISM)

Providing technological solutions of the positive credit register that would provide sufficient privacy guarantees during the creation and launch of the system.

Proposing the most suitable architecture with privacy protection technologies.

Data protection impact assessment.

Risk assessment of the cloud services mediated by Estonian IT Centre (RIT)

Assessing compliance with data protection requirements.

Assessing adequacy of the security measures in place by the cloud services.

Assessing trustworthiness of the cloud providers involved, according to EU requirements.

Strategic Analysis Function for the Estonian Financial Intelligence Unit

Technical and data protection pre-analysis of the information system with strategic analysis function.

Overview of suitable business intelligence software and recommendations to achieve the desired capabilities.

Risk-analysis based recommendations to apply privacy enhancing technologies in FIU strategic analysis.

Read more about Cybernetica’s R&D projects.

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Additional reading

Would you like to know more?

Contact our privacy technologies team:

Baldur Kubo

Business Development (Privacy Preserving Technologies)

baldur.kubo@cyber.ee