MUNICH, June 3, 2026 /PRNewswire/ -- Infineon Technologies AG (FSE: IFX) (OTCQX: IFNNY) today announces the integration of its OPTIGA™ Trusted Platform Module (TPM) SLB 9672 with NVIDIA's Jetson Thor platform. The hardware-based security solution securely stores cryptographic keys and verifies system integrity at the chip level, establishing a certified, quantum-resilient root of trust for Physical AI systems. The integration strengthens the security foundation, enabling robots and autonomous systems to operate securely and reliably across their full lifecycle. As these systems move from controlled environments into factories and public spaces, the impact of a security failure extends beyond data loss to operational disruption and regulatory liability. For the robotics industry, the security architecture decisions made at design-in have lasting commercial and compliance implications.
"Robots that sense, think and act in the real world are only as trustworthy as the security foundation they are built on," said Dr. Stephan Zizala, Division President of Connected Secure Systems at Infineon. "Infineon's OPTIGA TPM brings a hardware root of trust to the NVIDIA Jetson Thor platform that has been proven across hundreds of millions of devices. This integration meets the long-lifecycle and real-time demands of robots operating safely and securely at scale. Post-quantum cryptography designed into our solutions enables a foundation which remains protected not just for today's deployments, but for the full life of every robot that relies on it."
"Physical AI systems operate in the real world, where security is foundational," said Deepu Talla, Vice President of robotics and edge AI at NVIDIA. "Infineon's certified OPTIGA TPM for NVIDIA Jetson Thor helps developers protect keys, verify software integrity and securely provision robot fleets at scale, establishing a hardware-based root of trust for secure and resilient autonomous systems."
The EU Cyber Resilience Act, EU AI Act, IEC 62443 for industrial systems, and sector-specific standards in healthcare and automotive environments are working towards the new requirements of demonstrable, auditable security at the hardware level, creating a compliance-driven demand signal that Infineon and NVIDIA are positioned to serve.
The OPTIGA TPM technology provides a physically isolated, FIPS and Common Criteria certified solution that is separate from the application processor. It delivers measured boot and remote attestation, allowing operators and regulators to cryptographically verify at any point in a system's operational life that its software stack is genuine and unmodified. It also provides hardware-protected storage for proprietary AI model keys, encrypted communications, and cryptographically signed over-the-air updates.
The OPTIGA TPM, the industry's first TPM protected by a post-quantum secured firmware update mechanism, is designed as a root of trust which is protected from being compromised as the cryptographic threat landscape evolves. Developers building Physical AI applications on NVIDIA's Jetson Thor platform can rely on the hardware security foundation established at the architecture stage and will remain protected against current and upcoming cryptographic threats on robot systems.
The roadmap to full post-quantum security is completed by Infineon's next-generation OPTIGA TPM, embedding algorithms including ML-KEM and ML-DSA, standardized by the US National Institute of Standards and Technology (NIST) in 2024. Companies building on the current OPTIGA TPM today will be able to make an easy transition. For the robotics industry, this matters beyond technical readiness. Regulatory frameworks governing Physical AI are already moving in the direction of mandatory PQC compliance, and the architecture decision made at the outset determines whether a deployed robot fleet can meet those requirements across its full deployment period or faces costly hardware intervention when mandates arrive.
Humanoid robots rely on a chain of semiconductor functions to sense, think and act safely and securely, spanning sensing, actuation, power management, connectivity and security. Infineon addresses all these functional blocks through a broad portfolio of dedicated solutions, with an estimated semiconductor content of approximately USD 500 per humanoid robot. Security isn't optional; it's the foundation of modern robotics. Infineon builds the shield against tomorrow's threats. Security components, including TPM, represent a growing share of that content as regulatory requirements mature. Working with ecosystem partners such as NVIDIA, Infineon supports robot developers and manufacturers in moving from lab pilots to fleet deployment in industrial, healthcare and logistics environments.
Availability
Reference design for the OPTIGA TPM SLB 9672 is available. Find more information at: www.Infineon.com/OPTIGA-TPM-SLB9672, www.infineon.com/pqc and www.infineon.com/cra
About Infineon
Infineon Technologies AG is a global semiconductor leader in power systems and IoT. Infineon drives decarbonization and digitalization with its products and solutions. The Company had around 57,000 employees worldwide (end of September 2025) and generated revenue of about €14.7 billion in the 2025 fiscal year (ending 30 September). Infineon is listed on the Frankfurt Stock Exchange (ticker symbol: IFX) and in the USA on the OTCQX International over-the-counter market (ticker symbol: IFNNY).
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In Thüringen ist ein großangelegtes Forschungsprojekt zur nächsten Generation der Nanostrukturierung gestartet. Wissenschaftlerinnen und Wissenschaftler der Technischen Universität Ilmenau, der Friedrich-Schiller-Universität Jena und des Fraunhofer-Instituts für Angewandte Optik und Feinmechanik (IOF) in Jena entwickeln gemeinsam eine Hochpräzisionsmaschine, die Nanostrukturen auf Flächen von bis zu einem Quadratmeter erzeugen und vermessen soll. Die geplante 3D-Nanolithographie- und Nanomessmaschine (3D-NLM) soll dabei eine Positionierungsgenauigkeit erreichen, die kleiner ist als ein Atom. Die Deutsche Forschungsgemeinschaft (DFG) unterstützt die erste Projektphase bis 2027 im Rahmen des Programms „Neue Geräte für die Forschung“ mit vier Millionen Euro.
Mit dem Vorhaben zielt das Konsortium auf eine Größenordnung, die bestehende Anlagen deutlich übertrifft. Bisher lassen sich hochpräzise Nanostrukturen auf photonischen Bauteilen nach Angaben der Projektbeteiligten nur bis zu einem Durchmesser von etwa 30 Zentimetern zuverlässig herstellen. Die neue Anlage soll Bearbeitungen und Messungen von Bauteilen mit Kantenlängen von bis zu einem Meter ermöglichen – und damit eine mehr als dreifache Vergrößerung der nutzbaren Fläche erschließen. Die Entwicklungsarbeiten an der Maschine sind angelaufen; das Gesamtprojekt ist in drei Phasen bis 2032 angelegt.
Nanostrukturen gelten seit rund zwei Jahrzehnten als Schlüsseltechnologie, weil sie Licht gezielt beeinflussen können, indem sie dessen Wellenlänge und Ausbreitung steuern. Solche Strukturen finden sich bereits heute in großflächigen Bauteilen, etwa in Displays moderner Fernsehgeräte, die auf Nanotechnologie basieren. Nach Einschätzung der Forscherinnen und Forscher reicht die Genauigkeit bestehender industrieller Lösungen jedoch nicht aus, um künftige Anforderungen in zentralen wissenschaftlichen und technologischen Anwendungsfeldern zu erfüllen.
Die in Thüringen entstehende 3D-NLM soll genau diese Lücke adressieren. Perspektivisch könnte die Maschine zur Fertigung und Charakterisierung elektronischer und photonischer Schaltkreise ebenso eingesetzt werden wie zur Herstellung von Hochleistungsoptiken für die Erdbeobachtung. Auch in der Energieforschung sehen die Projektpartner potenzielle Einsatzfelder. Durch die Kombination aus großflächiger Bearbeitung und atomnaher Präzision erhoffen sich die Beteiligten einen technologischen Sprung, der sowohl der Grundlagenforschung als auch der Entwicklung neuer Komponenten in der Optik- und Elektronikindustrie zugutekommen könnte.
