Lecture
Locking down the Edge: How NVIDIA and OEMs Use TPM 2.0 to Secure Physical AI & Meet EU CRA requirements
- at -
- Hall C5C5.100
- Language: English
- Type: Lecture
Lecture description
"Edge and Physical AI systems must guarantee the secure and safe execution of compute tasks. To solve this, NVIDIA builds Trusted Platform Modules directly into its enterprise-ready platform for physical AI, the IGX Thor. The commercial ecosystem has fully adopted this hardware-backed approach: Lenovo and Wincomm released new ruggedized, industrial edge AI computers featuring discrete TPM 2.0 solutions to ensure regulatory compliance and data security.
This 20-minute talk features a demo of Secure GPIO for Physical AI using TPM 2.0 and provides concrete details how TPM 2.0 protects Physical AI while remaining accessible. We detail advanced security guarantees beyond basic key storage, covering authenticated bus communications and hardware tamper defenses. Finally, we map these hardware capabilities directly to EU Cyber Resilience Act (CRA) compliance. Key takeaways:
Mapping Edge AI security needs to TPM 2.0 capabilities.
Advanced TPM 2.0 security capabilities matching Physical AI needs.
Mitigating physical tampering and bus-level attacks on Edge hardware.
Meeting EU CRA requirements using TPM 2.0."
This 20-minute talk features a demo of Secure GPIO for Physical AI using TPM 2.0 and provides concrete details how TPM 2.0 protects Physical AI while remaining accessible. We detail advanced security guarantees beyond basic key storage, covering authenticated bus communications and hardware tamper defenses. Finally, we map these hardware capabilities directly to EU Cyber Resilience Act (CRA) compliance. Key takeaways:
Mapping Edge AI security needs to TPM 2.0 capabilities.
Advanced TPM 2.0 security capabilities matching Physical AI needs.
Mitigating physical tampering and bus-level attacks on Edge hardware.
Meeting EU CRA requirements using TPM 2.0."
