Technology News, Quantum Security

New medical mouse with quantum SEALSQ for secure fingerprint access

Avatar of Ivy Delaney
October 3, 2026 by Ivy Delaney

iMTC Technology is integrating SEALSQ’s QVault TPM183 into its new Fingerprint Recognition Medical Mouse, extending security from medical devices and cards to the clinician workstation itself. The device supports Windows Enhanced Sign-in Security and Windows Hello, allowing healthcare professionals to authenticate via fingerprint recognition when accessing critical systems. “SEALSQ already secures healthcare at the device and card level,” notes Carlos Moreira, CEO of SEALSQ. This design win, announced September 17, 2026, positions SEALSQ to address a growing need for hardware-anchored security in healthcare IT.

SEALSQ TPM183 Secures iMTC’s Medical Mouse

iMTC Technology’s new Fingerprint Recognition Medical Mouse incorporates SEALSQ’s QVault TPM183, establishing a hardware-anchored root of trust for clinician authentication within hospital environments. This integration extends SEALSQ’s security beyond medical devices and cards to encompass the entire workstation login process, addressing a critical vulnerability point in healthcare IT infrastructure. This approach aims to streamline access while bolstering security in shared workstation settings where multiple clinicians routinely use the same equipment.

The device’s design specifically addresses the growing need for robust data protection and medical device cybersecurity, moving beyond software-only credentials toward hardware-based security. Hospitals operate large fleets of shared workstations requiring frequent, auditable sign-ons, and the TPM183 provides a secure foundation for cryptographic keys and login credentials. The selection of the QVault TPM183 by iMTC Technology followed a rigorous evaluation of security providers, with three key features driving the decision.

According to iMTC, the TPM183 offered a certified TPM 2.0 root of trust, native support for Windows Enhanced Sign-in Security and a defined migration path to post-quantum cryptography. The company emphasized the importance of long-term security for hospital equipment, which typically has a decade-long lifespan. “Hospitals buy equipment for a decade, so our customers need confidence that the security in the device today will still be credible against tomorrow’s threats,” the company stated.

“SEALSQ let us design that in from the start.” Each TPM-enabled mouse represents semiconductor content for SEALSQ, creating a recurring replacement base as healthcare IT systems undergo routine refresh cycles, the company says. SEALSQ’s chips are already deployed in patient card readers used by major European national healthcare systems. Its secure elements and PKI secure connected medical devices and remote patient monitoring systems.

Embedding fingerprint recognition directly into the mouse aims to secure access without disrupting established clinician workflows, a common obstacle to IT adoption in hospital settings. The fingerprint recognition medical mouse product family includes four configurations, designed to meet diverse hospital needs. The move towards hardware-anchored security also addresses evolving cybersecurity requirements, including the anticipated transition to post-quantum cryptography. As quantum computers advance, traditional cryptographic methods are becoming increasingly vulnerable, and SEALSQ is developing Post-Quantum Semiconductors to provide future-proof protection, according to the company.

By embedding post-quantum cryptography into its semiconductor solutions, SEALSQ aims to safeguard critical systems and enhance resilience across various industries. The September 17, 2026 announcement of this design win signals a concrete step in SEALSQ’s expansion into workstation security and its commitment to providing long-term security solutions for the healthcare sector.

SEALSQ already secures healthcare at the device and card level. TPM183 now adds the workstation layer, which means we can address a hospital’s full trust chain, patient credential, medical device, and clinician login, with one root-of-trust architecture.

Carlos Moreira, CEO of SEALSQ
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Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

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