Proofpane vs GRC platforms vs log & observability tools

These categories get compared because they all touch "compliance" — but they operate at different layers and answer different questions. Most regulated teams end up with more than one; the point is knowing which question each one can actually answer.

One line: most tools ask "do you have a policy?" — Proofpane asks "can you prove what the AI actually did?"

Layer	Typical tools	The question it answers	What its record is
GRC / compliance automation	e.g. Vanta, Drata; AI-governance GRC such as Credo AI, Holistic AI	"Do we have controls, policies and attestations in place?"	Policy documents, control inventories, attestation reports — written or collected, then trusted
Logs / observability	e.g. Splunk, Datadog; LLM observability tools	"What happened in our infrastructure / model calls?"	Mutable operational logs and traces — great for debugging, not designed to survive hostile review
Proofpane — runtime evidence layer	Proofpane	"Can we prove what every AI agent, tool call and workflow actually did — and prove nobody rewrote the record?"	Policy-gated actions, hash-chained append-only audit, Ed25519-signed Evidence Packs an auditor verifies offline without trusting the vendor

The differences that matter in a security review

Enforcement vs attestation. GRC evidence is written up; Proofpane's evidence falls out of enforcement — the deny, the redaction, the human approval IS the record.
Before vs after. Observability watches what happened. Proofpane gates before execution — deny, DLP-redact, or pause for a human — and then records tamper-evidently.
Verifiable vs trusted. A normal log asks the reviewer to trust whoever operates the log. A Proofpane Evidence Pack verifies with a standalone offline CLI: signature valid, chain intact — no Proofpane account, no backend access.
AI-action granularity. Infrastructure logs don't know what a coding agent's tool call meant. Proofpane records at the AI-action level: which agent, which tool, which policy decision, which human approved, what it cost — with 335 controls pre-mapped across NIST AI RMF, ISO/IEC 42001, EU AI Act, GDPR and SOC 2.

Complementary, not either/or

Teams keep their GRC platform for organisation-wide attestations and their observability stack for infrastructure. Proofpane supplies the layer neither produces: a runtime, tamper-evident, independently verifiable record of AI behaviour — the exhibits your GRC narrative points at when an auditor asks "show me".

Honest boundary

Proofpane's coverage depth per client is published openly (gate+transform / gate-only / observe, decided by each vendor's extension surface), and Proofpane produces operational evidence — it is not a certification and does not replace legal advice. Details: Trust Center.

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Last updated 2026-07-09 · Vendor names above identify categories, not criticism — each is good at its layer.