Confidential computing
Analyse confidential data with confidence. Unlock sensitive data previously inaccessible due to privacy concerns. Control the analysis of the data and the access to data. Share only the results of the analysis, while data always remains under your control.
Securely connect and perform analysis using standard programming languages like Python or R, without compromising performance.
Your data is processed in a secure, encrypted environment, protected from unauthorized access throughout the entire analysis lifecycle. Even during computation, your sensitive data remains fully encrypted and isolated.
Using state-of-the-art cryptographic primitives to secure your data. From encryption to secure key management, every layer of our tool is designed to keep your information safe, meeting the highest standards of data protection.
Optimized for high-performance computing, allowing you to process large datasets and complex analytics quickly and efficiently, all while maintaining the highest levels of security.
Easily integrate our Confidential Computing tool into your existing infrastructure. Whether you’re working in the cloud, on-premises, or in a hybrid environment, our tool fits effortlessly into your workflow, enhancing your data analysis capabilities without disruption.
Stay ahead of the curve with built-in compliance features that help you meet data protection regulations, including GDPR, HIPAA, and more. Our tool ensures that your data analysis processes adhere to all relevant legal and regulatory requirements.
Here's how it works
Your data is always encrypted and it never leaves your environment. The analysis is conducted within secure, isolated enclaves (TEEs) that keep your data encrypted and inaccessible to unauthorized parties, including cloud providers and external threats. Even as complex calculations are performed, your data remains protected, ensuring that sensitive information is never exposed.
Once the analysis is complete, the results are delivered directly, ensuring that anyone else interested in analysis only has access to the final output.
Use cases and benefits
Healthcare
Use case
Analyzing patient data to uncover insights while maintaining compliance with health data regulations.Benefit
Ensures patient privacy and meets strict regulatory requirements like HIPAA while enabling valuable insights.Finance
Use case
Secure financial modeling and risk analysis without exposing sensitive financial information.Benefit
Protects confidential financial data, reducing risk of breaches while enabling accurate decision-making. Aligns with DORA regulation.Research
Use case
Collaborating on data analysis with global teams while keeping proprietary research data confidential.Benefit
Facilitates secure collaboration across borders without compromising the security of research data.Government
Use case
Processing and analyzing sensitive national security data with confidentiality.Benefit
Ensures national security information is protected from unauthorized access during analysis.Legal
Use case
Analyzing legal documents and case data securely to maintain client confidentiality.Benefit
Safeguards client information, ensuring compliance with legal confidentiality obligations.Retail/marketing
Use case
Conducting customer behavior analysis while protecting personal data and complying with privacy laws.Benefit
Protects customer privacy and helps in adhering to data protection regulations like GDPR.