Infineon advances Physical AI security against quantum-era threats with certified TPM solution for NVIDIA Jetson Thor

03.06.2026

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).

Further information is available at www.infineon.com

This press release is available online at www.infineon.com/press

Follow us: Facebook - LinkedIn

- Picture is available at AP

Press contact:

Michael Burner

michael.burner@infineon.com

Cision View original content:https://www.prnewswire.co.uk/news-releases/infineon-advances-physical-ai-security-against-quantum-era-threats-with-certified-tpm-solution-for-nvidia-jetson-thor-302789314.html

Other news

ETH Zürich und RWTH Aachen erzeugen künstliche Erschütterungen im Furka-Baustollen

30.04.2026

Im Gotthardmassiv im Tessin ist einem internationalen Forschungsteam erstmals gelungen, die Erde kontrolliert zum Beben zu bringen. Im Untergrundlabor "Bedrettolab", das in einem ehemaligen Baustollen des Furkatunnels eingerichtet wurde, lösten Wissenschaftlerinnen und Wissenschaftler gezielt eine Serie von Mikrobeben aus. Die beteiligte Rheinisch-Westfälische Technische Hochschule Aachen (RWTH Aachen) sprach von einem "sehr erfolgreichen" Versuch.

Über mehrere Tage injizierten Fachleute der ETH Zürich, der RWTH Aachen und des italienischen Nationalen Instituts für Geophysik und Vulkanologie (INGV) Wasser mit hohem Druck in eine natürliche Bruchzone tief im Fels. Ziel des Experiments war es, Spannungsänderungen im Gestein hervorzurufen und damit kleinste Erschütterungen auszulösen. Genau das trat ein: Registriert wurde eine ganze Serie von Mikrobeben, teilweise mit Magnituden knapp unterhalb von 0. An der Erdoberfläche waren diese Ereignisse nicht zu spüren.

Um die künstlich erzeugten Beben detailliert zu erfassen, installierte das Team Hunderte hochsensibler Sensoren in unmittelbarer Nähe der Verwerfung. Die Messinstrumente reagierten so feinfühlig, dass im Bedrettolab sogar das Erdbeben in Japan vom 20. April präzise aufgezeichnet werden konnte. Durch die direkte Platzierung an der Bruchzone konnte die Entstehung der Erschütterungen erstmals am Ursprungsort und nicht wie sonst üblich an der Erdoberfläche verfolgt werden. Die aufgezeichneten Signale seien "unglaublich", sagte Projektleiter Florian Amann von der RWTH Aachen, man erhalte einen einzigartigen Einblick in die Erdbebenphysik.

Das Experiment ist Teil des Projekts "FEAR" – kurz für "Fault Activation and Earthquake Rupture". Langfristig sollen die Daten dazu beitragen, die Vorhersagbarkeit von Erdbeben zu verbessern. Im Fokus steht die Frage, was im Gestein passiert, bevor ein größeres Beben einsetzt. Nach Angaben der Forschenden gehen starken Erdbeben typischerweise tausende kleine Ereignisse voraus. Deren Entwicklung im Labor nachzuzeichnen, soll helfen, die physikalischen Prozesse entlang natürlicher Störungszonen besser zu verstehen und Frühindikatoren für künftige Beben zu identifizieren.