The signing operation adds microseconds to each inference call. For the vast majority of AI workloads, including real-time applications like radiology triage an
Cryptographic signing using hardware-backed keys (TPM, Secure Enclave) is a sub-millisecond operation. The InferTrust™ SDK constructs the decision record and signs it in microseconds. For context, most AI model inferences take tens to hundreds of milliseconds. The signing overhead is typically less than 0.1% of total inference time.
InferTrust™ was designed for latency-sensitive applications including autonomous vehicle safety decisions, real-time clinical triage, and high-frequency trading compliance. The signing operation is optimized to complete before any network call or UI update, ensuring it does not become a bottleneck in time-critical pipelines.
Because signing happens locally on the device using a hardware-bound key, there is no network round-trip involved in the signing process. The signed record is stored locally first and synced to a central server asynchronously. This means the signing operation is not affected by network latency, connectivity issues, or server availability.