Product
ProcessProtectReconComply
Use Cases
PSPs & Payment ProcessorsFintechs & Digital BanksFinancial InstitutionsEnterprise TreasuryTransit & MunicipalMining & Resources
Developer
API-FirstMCP for Coding AgentsRuns in Your EnvironmentDeploy & Operate
Built for AI
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Protect Pillar

The Risk Stops Here

Behavioural fraud detection, enforced separation of duties, granular access control and an audit trail nothing gets deleted from — all applied at the data layer, so a request that goes around your application still doesn't go around the control. Maker-checker works the same for a wire transfer as for a weighbridge override.

Controls That Hold
When Someone Goes Around the App

Most platforms enforce their rules in the screens. Protect enforces them where the data lives, so the control still applies to an API call, an integration, or a support tool nobody remembered to lock down.

Proprietary Fraud Detection
Every account gets its own behavioural profile — when it usually transacts, for how much, and how often. New activity is scored against that account's own history rather than a fixed threshold, so unusual behaviour surfaces while it still matters.
Visa Network Intelligence
Our Visa partnership brings fraud signals from across the wider network into your risk view — patterns no single organisation can see from its own traffic alone.
RBAC with 25+ Permissions
Access granted in 25+ narrow categories and enforced at the data layer, not merely hidden in the interface. Single sign-on through your existing identity provider, with multi-factor authentication and passkeys available.
Immutable Audit Trail
Every change to every record is captured — who, what, when, from where, and the full before-and-after state. Records are never deleted or edited in place, and the capture happens below the application, so no route around it exists.
Maker-Checker Workflow
Value cannot move on one person's say-so. Request and approval are separate acts by separate people, and both identities come from the authenticated session rather than the submitted form — so the separation of duties every AML regime expects is enforced, not merely documented.
Vendor-Pinned Supply Chain
Every third-party component is version-pinned and checksum-recorded, and nothing is fetched from a public CDN while your users are on the page. The class of attack that compromises thousands of sites through one hijacked script has no route in.

The Same Controls,
Wherever Value Moves.

Separation of duties is not a fintech-only requirement. Wherever one person acting alone creates risk, Protect enforces a second, independent check — automatically, and below the application.

Finance & Payment Rails
Maker-checker on a wire transfer or a limit override — one person requests, a different, independently authenticated person approves.
Transit & Logistics
Automated prevention of duplicate pass usage, enforced at the data layer — not left to the reader hardware to catch.
Mining & Resources
Strict dual sign-off on weighbridge overrides — the same maker-checker control that protects a payment, applied to a different asset.

A Threshold Alert
Only Knows One Number.

Set the limit high and you miss the fraud. Set it low and your analysts spend their week clearing false positives from customers who did nothing wrong. Either way, the rule was set once by someone who has since left, and it has not been revisited.

Normal Is Different for Every Account

A retail merchant that takes small payments on Saturday afternoons and a corporate treasury account that moves large sums on the last working day of the month are both behaving perfectly normally. A single threshold cannot describe both — so LedgerFlow doesn't try.

Instead, each account builds up its own picture of normal from its own history: the rhythm of when it transacts, the range it usually moves, and how often. New activity is measured against that picture. A payment that is entirely unremarkable in size can still be flagged because of when it happened, or how quickly it followed the last one.

Because the baseline belongs to the account rather than to a global rule, it keeps up as your customers' behaviour changes — without anyone having to remember to retune it. And because several independent signals combine into one score, a single odd characteristic raises attention rather than an alarm, which is what keeps the queue small enough for your analysts to actually work.

What Goes Into the Score
1
Timing
Activity at an hour or on a day that is out of character for this particular account
2
Amount
A value well outside the range this account normally moves
3
Velocity
Too much activity too quickly, against limits you set per account or per customer profile
4
Exposure
A movement that would push a balance past a limit your risk policy has defined
5
Counterparty
Where the money is going, and whether that destination already carries risk
6
Network Intelligence
Signals from the wider Visa network that no single organisation could see alone

No One Person
Can Move Value Alone.

REQUESTED
One person prepares it
APPROVED
A second person reviews it
POSTED
Only then does it reach the ledger
REJECTED
Declined — and the decline is recorded too

Both identities come from the authenticated session, not from the submitted request — so they cannot be forged, swapped, or quietly set to the same person. Every step, including a rejection, is written to the audit trail. This is the control an auditor asks about first, and the one most platforms can only answer with a policy document.

Ready to protect your operations?
Fraud detection, maker-checker, and audit trail — live in a day.
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