Payments & wire initiation
Money movement demands separation of duties, human approval, and JIT credentials — the agent that proposes a transfer can't be the one that releases it.
An autonomous agent quietly moved money, opened an account, or leaked card data — and you can't prove to an examiner exactly what it did, or that a human ever approved it.
Financial services leads on agent adoption and carries the densest regulatory stack. Nolixan is the control plane that makes those agents examinable: every action is policy-gated, separated by duty, and recorded as cryptographic proof.
Access controls, audit logging, and short-lived credentials for any system an AI touches.
Operational resilience + third-party governance — fail-closed default-deny and provable receipts.
Supervision of GenAI: human-in-the-loop approval and a tamper-evident record.
Cardholder-data redaction — mask PAN to BIN+last-4, drop CVV/PIN, never persist.
Separation of duties on financial actions + an immutable, signed audit trail.
Customer financial data stripped before it reaches a model or a log.
Controls are mapped to exact source evidence and machine-checked in CI — see the live compliance map.
Money movement demands separation of duties, human approval, and JIT credentials — the agent that proposes a transfer can't be the one that releases it.
Touches GLBA-protected data and carries fair-lending exposure; needs default-deny on writes and a provable decision record.
Reads PII and card data, writes to case systems — DLP redaction plus tamper-evident receipts an examiner can verify.
Policy-shaped discovery keeps an account-servicing agent from reaching beyond its mandate.
Enforced, not advisory: the requester of a sensitive action can never approve it, and every blocked self-approval is recorded.
No autonomous money movement, account change, or write of any kind without an explicit allow policy.
Hand an examiner an Ed25519-signed receipt and a public key — they confirm exactly what happened without trusting you.
Card numbers, account numbers, and SSNs are masked or dropped before they reach a model or a log.
Self-host inside your boundary or run managed. Start in monitor mode, prove the controls, then enforce.