Regular AI logging records decisions after the fact and can be modified. InferTrust™ signs cryptographic proof at inference time using device-bound keys, creati
InferTrust™ (Patent Pending) and traditional AI logging both create records of AI decisions, but they differ fundamentally in what they can prove. The distinction centers on three dimensions: timing, integrity,and verifiability.
Traditional logging captures AI outputs after they have passed through application logic, integration layers,and processing pipelines. By the time a log entry is created, the data may have been transformed, reformatted, or inadvertently modified. InferTrust™ captures and signs the decision at the execution boundary,the exact moment the model produces its output,before any downstream processing occurs.
Traditional logs are stored in databases, file systems, or logging services that can be modified by anyone with administrative access. Log rotation, database migrations,and system updates can all alter historical records. InferTrust™'s decision records are cryptographically signed, making any post-signing modification mathematically detectable regardless of who attempts it or how.
Verifying the integrity of traditional logs requires trusting the infrastructure that created and stored them. If an organization claims its logs are accurate, auditors must take that claim on faith. InferTrust™'s records can be independently verified using the signing key's public counterpart,no trust in the organization's infrastructure is required. The proof is mathematical, not organizational.