Verdifax vs alternatives
Verdifax is sometimes confused with adjacent categories — ML lineage tools, observability platforms, audit logs. They serve different problems. This page is the honest comparison.
The short version
| What it tracks | Independently verifiable? | |
|---|---|---|
| Application logs | Whatever you choose to log | No — logs are author-edited |
| MLflow / Weights & Biases | Experiment runs, metrics, model versions | No — server of record is the operator |
| Arize / Fiddler / Truera | Model behavior in production | No — observability, not proof |
| Sigstore / SLSA | Software supply chain provenance | Yes — for code, not for AI runs |
| Verdifax | A single AI execution, sealed end-to-end | Yes — third party can re-derive the hash |
vs. application logs
Logs answer "what does the operator say happened?" Verdifax answers "what cryptographically did happen?" Logs are the right tool for debugging and for trusted internal audit. They are the wrong tool for adversarial review — when a regulator, a court, or a counterparty needs to confirm a decision was made the way it was reported, log files have no integrity guarantee.
vs. MLflow / Weights & Biases
MLflow and W&B are excellent for experiment tracking, model registry, and team workflow. Their security model is "we are the source of truth, trust us." They are not designed to defend against an operator who has motive to alter the record after the fact, because they were never expected to.
Verdifax is complementary, not a replacement: you can keep MLflow for daily ML engineering and add Verdifax on top of any inference call you need to prove later. The manifest hash sits alongside whatever you already log.
vs. AI observability (Arize, Fiddler, Truera)
These platforms detect drift, fairness regressions, and prediction quality in production. The output is dashboards, alerts, and model insights — none of which is independently verifiable evidence. Same complementarity: keep observability for operations, add Verdifax for accountability.
vs. Sigstore / SLSA / supply-chain provenance
Sigstore signs container images and source artifacts. SLSA describes the build pipeline. Both produce verifiable provenance — for code. Neither addresses what happens at inference time when an AI system processes a real input and produces a real output. Verdifax is the inference-time analogue: same cryptographic philosophy, applied one layer deeper.
When you do not need Verdifax
- Internal experimentation, R&D, prototypes — overkill
- Low-stakes recommender systems where mistakes are cheap and easily reversed
- Cases where regulators don't ask "show your work"
When you do
- AI decisions affecting protected health information (HIPAA)
- AI-driven financial controls under SOX § 404
- Any system covered by EU AI Act Article 13 (high-risk AI)
- Defense, intelligence, and federal civilian deployments
- Any decision a counterparty might dispute and where "trust us" is not an answer