Fable

Security That Disappears

Security that disappears when you’re safe. Shows up hard when you’re not. That’s the whole idea.

Why Banks Choose Fable

Most security systems treat safety and personalization as a trade-off. Fable rejects that. Personalization is the security engine: the more it understands a user’s real habits, the sharper it gets at spotting the one transaction that doesn’t fit.

Personalization is the security engine

Personalization Is the Security Engine

The more Fable understands a user's real habits, the more confidently it lets them through without friction, and the sharper it gets at spotting the one transaction that doesn't fit.

Built for African finance

Built for African Finance, From the Ground Up

Nigerian scam scripts, Pidgin language patterns, and NIP response codes, not a Western fraud model with the currency symbol swapped.

Radical transparency

Radical Transparency, by Design

Every intervention comes with plain-language reasoning. Users can open a single “what Fable knows about me” panel and toggle signals on or off.

Network effects

Smarter With Every Institution That Joins

A fraud pattern flagged at one partner bank protects every other connected institution within minutes. The shared intelligence graph compounds over time.

Built for Every Rail Money Moves On

Banks, fintechs, wallets, payment gateways, and crypto platforms plug in once via a single API call. Under the hood, the same agent pipeline protects every rail.

Banks & Digital Banks

Direct and indirect NIP participants plug Shield into the transfer flow before funds move, and Watch runs passive monitoring between sessions, without slowing down the 10-second NIP clearing window.

A Family of Agents, One API

Scams don't happen inside a banking app. They happen on WhatsApp, phone calls, and SMS in the five minutes before, social engineering that convinces the user to authorize the transfer themselves. Fable is a family of specialized AI agents that sit between the user and the transaction, so the one transfer that doesn't fit gets caught before the money moves.

Copilot Learns. Shield Defends. Ghost Contains.

Copilot builds a behavioral baseline per user: who they pay, when, how much, which devices. When a transfer matches it, friction disappears. When it breaks the pattern, Shield takes over: real-time scam and deepfake defense, scored and explained in plain language. If a user overrides a block anyway, Ghost routes the transfer into a disposable account with a cooling window, so even a fully-tricked user loses nothing.
Reviewing a flagged transaction on a phone

Compliance Tools Weren’t
Built for This

KYC and AML platforms verify who a user is once, at onboarding. They were never built to catch a real user, fully verified, being talked into authorizing their own loss five minutes after opening WhatsApp. That's a behavioral problem, not an identity problem, and it needs a behavioral defense.

Every Connected Institution Makes the Network Smarter

A device fingerprint seen committing fraud at one bank gets flagged at a connected fintech in minutes, not weeks. Privacy-preserving: only hashed signals are shared, never raw personal data.
Reviewing shared fraud intelligence

Localization Foreign Fraud Tools Don't Have

Nigerian scam scripts, Pidgin urgency patterns, NIP response codes, USSD and POS channel risk. A fraud model built for American e-commerce doesn't recognize any of it. Fable was built for this market from the first line of code.
Reviewing localized fraud pattern data

Talk to Fable

See how Shield, Copilot, and Ghost work together on your own transaction data.

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