Roseman Labs Blog

Tackle security challenges with encrypted maintenance data

Written by Admin | Sep 25, 2024 9:55:39 AM

Enhance secure collaboration

Leverage Roseman Labs’ advanced privacy technology to ensure that your sensitive operational data is protected, even as you utilize it to drive predictive maintenance initiatives. Enhance equipment uptime, reliability, and overall operational efficiency—all whilst assured your sensitive data remains protected across operational environments like cyber, space, sub-sea and other domains.

Whether providing secure data access to contractors, training predictive models across sensitive datasets, or improving the reliability of equipment like aircraft and artillery systems, our platform offers the security, confidentiality, and performance needed to stay ahead of modern security challenges. Read how you can enhance both preventive and predictive maintenance efforts with Roseman Labs.

 

 

Optimize preventive maintenance data

Maintenance teams need access to operational data from various sources, such as land-based systems and airborne equipment, to effectively detect and address potential issues—helping prevent small anomalies from turning into more costly problems. Yet granting this access could expose critical information, putting operations and strategic assets at risk.

Sharing and analyzing data securely is therefore vital, and made possible with Roseman Labs. Our platform, powered by Multi-Party Computation (MPC) ensures that contractors can access the necessary data for anomaly detection while keeping it fully encrypted and protected, even across different environments.

Organizations can build their predictive maintenance solutions on top of the Roseman Labs platform, assured that operational integrity is safeguarded and sensitive information remains secure at every stage.

 

 

Enable predictive model training on encrypted data

The success of predictive maintenance relies on accurate models that can forecast equipment failures and optimize maintenance schedules, which requires access to highly sensitive operational data. This access raises serious security concerns, which are easily resolved with Roseman Labs.

Our platform allows you to aggregate data from multiple sources, without any individual being able to see or access the real data sets. This allows you to securely train and deploy predictive maintenance models on encrypted data across different domains without compromising data or operational security.

Whether working in the cloud or on-site in operational environments, our technology ensures that all data remains encrypted and confidential throughout the data pipeline. This enables you to harness the power of advanced predictive analytics with full assurance that your sensitive information is fully protected, even against quantum adversaries.

 

 

Protect informants

In intelligence operations, the safety and anonymity of informants are critical, but the risks of source exposure makes intelligence sharing risky.

With Roseman Labs you can securely exchange crucial information without revealing details that could compromise an informant’s identity. Our MPC technology ensures all sensitive data is encrypted at the source, during transfer, and in use. This guarantees more robust and secure intelligence operations, where collaboration does not compromise individual safety.

Read about our BSPA certification by the Dutch intelligence agency, and our work with NCSC and their SecureNed platform.

 

Generate new insights on sensitive data with Roseman Labs’ secure Multi-Party Computation technology. Want to find out how your organization can do that? Contact us using the form below.