Understand the execution boundary concept in InferTrust™, the critical point where AI decisions are cryptographically sealed before any downstream processing.
The execution boundary is a core concept in InferTrust™'s (Patent Pending) architecture. It refers to the precise point in the inference pipeline where the AI model's output is captured and cryptographically sealed, before any downstream system, middleware, or application logic can process, transform, or alter the result.
In traditional AI systems, there is a gap between when the model produces its output and when that output is logged. During this gap, the data passes through application logic, API layers, message queues,and storage systems. Each layer introduces an opportunity for the output to be modified, whether intentionally or accidentally. The execution boundary eliminates this gap by intercepting and signing the model output at the earliest possible point.
InferTrust™ deploys a lightweight signing agent at the execution boundary. When the AI model completes inference, the agent immediately captures the output, combines it with the model version identifier, input feature hash, confidence score, policy version hash,and timestamp, then generates a cryptographic signature using device-bound keys. The entire process adds minimal latency and operates independently of network connectivity.
The signed record is then passed downstream alongside the model output. Any downstream modification of the output will not match the signed record, making tampering immediately detectable.