Every AI model runs on physical chips. If you cannot verify the chip, you cannot fully trust what runs on it.
The hidden assumption in AI
Most discussions of trustworthy AI focus on models and data. But underneath every model is hardware: accelerators, servers, network equipment and sensors. AI systems usually assume that hardware is genuine, untampered and where it is supposed to be.
What chip authentication means
Chip authentication is the ability to verify that a semiconductor is what it claims to be: its identity, its origin and what it is authorized to do. Done well, it becomes a hardware root of trust that every other layer of the system can build on.
Why labels and paperwork are not enough
Serial numbers, labels and certificates can be copied. Paper records can be altered. A chip that can prove its own identity removes the weakest link: the gap between the physical part and the record that describes it.
Self-authenticating chips
A self-authenticating chip carries identity inside the silicon and can prove it before it connects, transacts or communicates. That makes it possible to:
- reject counterfeit or unauthorized parts at receiving,
- verify that an accelerator in a data center is genuine,
- tie data to the authenticated device that produced it, and
- record every handoff in a chain of custody.
How VAI applies it
VAI is built from the hardware up on Velacomm’s patented self-authenticating chip technology, then adds a secure network, applied AI and open standards. Trust becomes a property of the whole system rather than an add-on. See VAI for data centers or VAI for defense.