InferTrust vs. AI Observability, Governance, and Logging
How does InferTrust compare to AI observability platforms, governance frameworks, and traditional logging? InferTrust creates cryptographic proof at inference time. The others do not.
The Core Difference
The fundamental question is whether your system can prove what happened at the moment of a specific AI decision, or whether it can only describe what happened after the fact. InferTrust produces proof. The alternatives produce descriptions.
Comparison
Traditional Logging: mutable records, no cryptographic proof, events recorded after the fact
AI Observability: monitors model performance and drift, no individual decision proof, requires cloud
AI Governance Frameworks: documents policies and risk assessments, proves intent not execution, periodic reviews
InferTrust (AI Decision Integrity): cryptographic proof at inference time, tamper-evident, offline-capable, device-bound signing