WhiteFin is the execution layer of the AI agent stack — Layer 4 — the layer that governs the gap between what the agent decides and what the tool actually runs. It enforces at the kernel boundary using eBPF, intercepting every system call an agent makes before it completes, denies by default, and provides verifiable evidence that the action came from the agent's stated intent.

How is WhiteFin different from prompt filters or monitoring tools?

Prompt filters look at what the model says. Monitoring tools observe what already happened. WhiteFin enforces at the kernel boundary — it intercepts every system call before it completes and refuses the ones that are not explicitly approved. Observation is useful but it is not enforcement — agents do not slow down for monitors that cannot say no.

What is Causal Provenance?

Causal Provenance is the verifiable evidence that an agent's action actually came from its stated intent. Cryptographically signed. Tamper-evident. Independently verifiable without trusting WhiteFin.

How long does it take to get to enforcement?

Fifteen days. Two weeks of shadow-mode observation, one day of policy review, one day to flip the switch. You do not author the policies; we generate them from what your agents actually do, and you approve them before anything goes live.

Can WhiteFin be deployed air-gapped?

Yes. Two deployment options: self-hosted and air-gapped. The enforcement guarantees are identical across both; you pick by data-residency and audit posture.