It’s easy to be uncertain in the current climate, cynical even.
With a rise in global data breaches, AI hype and hyperbole, and geopolitical unrest, people are wanting, needing secure information sharing platforms but paradoxically are hesitant to trust the very solutions that can help.
We get it. It’s at the heart of why we do, what we do.
Roseman Labs was founded in March 2020 to make encrypted computing readily available, providing National Security, Financial Services and Healthcare firms with vetted, easy-to-use sensitive data collaboration tools without compromising privacy or security.
From the beginning, our founders, Toon Segers, Roderick Rodenburg and Niek J. Bouman, have been committed to putting paradigm-shifting cryptographic technology into the hands of users through an accessible, secure platform.
It’s never been about productizing tech for the sake of it but developing it to eliminate the trade-off between privacy and progress. In this pursuit, we are removing policy, regulatory, architectural and coding speedbumps to help organizations quickly and securely work with sensitive data to anticipate and mobilize against pressing threats.
Our products are designed to put the expertise of our in-house cryptography team at users’ fingertips with minimal barriers and maximum ease. We do this by offering:
In organizational data management, relational databases are the de facto standard. To protect sensitive data, this standard framework calls for a solution that can tap into individual databases to extract relevant data and then join the separate data together.
Our solution does just that by encrypting data at the source - no raw data needs to be shared. This allows for unprecedented mutual confidentiality guarantees, a claim none of our competitors can make.
To ensure that data is protected throughout every step in the process, including during analysis, Roseman Labs provides encryption in use (in addition to encryption at rest and in transit). This powerful base layer allows data minimization and purpose binding by default.
Unlike alternatives like pseudonymization, comprehensive encrypted computing does not rely on the inherently weak partial masking of datasets nor is it vulnerable to side attacks. Another plus, it does not depend on proprietary hardware that is slowed by recurring security issues, which is the case with confidential computing that requires separate execution environments.
Our unique model transforms the niche concept of Multi-Party Computation (MPC) into a high-performing, cryptographically secured platform that solves complex problems without creating more.
We realized early on that simple UI is key to adoption and repeat use. As a result, our design reflects existing programming interfaces to enable speed and usability.
It’s thanks to a familiar Python interface that users can readily access 50+ ready-to-use functionalities, ranging from basic operations to machine learning and more advanced AI models.
From the outset, organizations can tap into Trusted Collective Intelligence derived from sensitive data, with no compromise in data privacy.
Our API-first approach also allows users to plug into existing data pipelines, visualization tools or intelligence applications. Be it Elastic, Databricks, Python notebooks, or even Cognos or Excel, we don’t replace your existing systems, we work with them.
What does encrypted computing and access to Trusted Collective Intelligence mean for security, intelligence and business leaders?
By enabling trusted collaboration across previously impassable data boundaries, two or more organizations can analyze shared indicators, cross reference persons of interest, build situational understandings, detect patterns - without ever revealing the data that led to those insights or violating any laws. More importantly, it means that collaboration no longer requires compromising privacy or security, nor requires the need to establish trust before acting.
With granular data controls, users choose which insights each participant can access. Any risk of leaking underlying records or proprietary models is eliminated. Every query is recorded in a tamper-proof audit trail.
Our software meets GDPR, NIS2, AMLR and other regulatory mandates out of the box. Governance doesn’t rely on after-the-fact audits, but by the data platform itself, turning compliance from a blocker into a blueprint for collaboration.
Working with the Dutch government’s National Cyber Security Centre, Roseman Labs supported the development of the data sharing network, SecureNed, launching to law enforcement agencies and private businesses. The network enables its 5,000 members to share protected information about ransomware attacks - without revealing publicly identifiable information - and help users take proactive preventative measures.
The first-of-its-kind review provided new observations about the scope of the problem and helped companies work together to action these insights. Through SecureNed, Dutch cyber experts were able to dismantle part of a malicious cyber network called Qakbot, which affected 700,000 computers.
The world is in upheaval – threats and dangers lurk in all corners of the globe, with bad actors banding together and becoming more sophisticated in their use of technology.
To give individual organizations the tools they need to form their own alliances, and combat understandable concerns around cybersecurity, privacy and compliance, we are building a secure ecosystem around Trusted Collective Intelligence.
As we turn encrypted computing into the highest, most transparent standard for how sensitive data is used, we are moving beyond academic legacy, into real-world applications already making a difference today.
Roseman Labs is revolutionizing the possibilities of encrypted computing. Our product enables you to use sensitive data in a secure way, whilst safeguarding individual and commercial privacy.