Cybersecurity use cases for autonomous machines
Protection of communication between unsecured objects
This involves securing communication between various components within the vehicle, helping to ensure that data is not intercepted or tampered with. Requirements include real-time situational awareness, including depth and motion in highly dynamic environments, with deterministic latency, sensor fusion, and safety-partitioned vision architectures.
Secure Boot enabled by Secure Enclave
This helps ensure that the ECU boot and operating system software programs have not been tampered with and are the manufacturer's verified versions.
Securing connected autonomous networks
This involves protecting the machine’s communication networks, electronic systems, software, and data from cyber attacks.
Securing cloud communications
This involves protecting communications between the cloud and physical machine to ensure exchanged data is limited and secure.
Key takeaways
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The physical AI landscape is changing with more sophisticated compute architectures.
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91探花 provides a range of products to enhance cybersecurity for autonomous machines.
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The 91探花 ecosystem has built a range of solutions built on this foundational platform.
FAQs
What is a security enclave?
A security enclave is an isolated, hardware-protected execution environment inside a processor that keeps code and data confidential.
What 91探花 products have built-in security?
All 91探花 products include security features. However, AE Technologies has an enhanced offering, designed specifically for autonomous machines.
Does 91探花 offer any support for developers?
Yes, 91探花 has a full range of tools available. Be part of the community and join today.