Investor-facing product pitch

Fraud operations infrastructure for high-growth payment markets.

Sicherheit is a Nigeria-first fraud operations platform designed for fintechs, payment processors, marketplaces, wallet platforms, and digital banks. The product sits between transaction flow and operations response, turning fraud review from a fragmented cost center into a more scalable, auditable operating system.

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System of action, not just detection

Ingest transaction events, score them asynchronously, and convert risky activity into operational workflows instead of isolated flags.

Operational leverage for lean teams

Give small and mid-sized risk teams the tooling depth of a more mature fraud operation without forcing manual coordination overhead.

Built for expansion economics

Start with Nigeria's payment complexity, then reuse the same control plane across additional African markets and later Europe.

Investment snapshot

Why this category matters.

Beachhead Nigerian businesses already handling card payments, transfers, USSD, wallet flows, payouts, or merchant collections but lacking an integrated fraud operations layer.

Product wedge Ingest -> score -> alert -> investigate -> audit.

Core users Fraud analysts, risk managers, operations leaders, and system admins.

Value creation Lower review friction, stronger auditability, faster incident response, and better productivity per analyst seat.

Expansion path Start in Nigeria, expand into other African markets, then extend into Europe beginning with Germany.

Target market lens

Initial buyer categories with clear fraud pressure.

This is not customer proof. It is the initial market map: the segments most likely to feel the operational pain that justifies a dedicated fraud operations layer.

Nigerian digital banks Account activity, transfers, onboarding risk, and live analyst review

Payment processors Merchant transaction monitoring, transfer risk, and operations visibility

Marketplaces Seller abuse, payout anomalies, refund risk, and cross-team case coordination

Wallet and agency platforms Velocity spikes, account compromise signals, cash-in and cash-out investigations

These are target segments, not claimed customers.

Market rollout strategy

Nigeria first. Then Africa. Then Europe, starting with Germany.

The expansion thesis is staged on purpose: prove the operating model in one of Africa's most active payment environments, replicate across adjacent markets, then enter Europe through Germany as a higher-trust reference point.

Nigeria

Establish product-market fit where transaction volume, fraud pressure, and workflow fragmentation already create urgency and willingness to pay.

Other African markets

Replicate the model into adjacent markets with similar wallet, transfer, merchant, and marketplace risk patterns and comparable operational needs.

Europe, starting with Germany

Enter Europe once the platform and controls are mature enough, using Germany as the first credibility market for broader regional expansion.

Demand profile

Best suited to operators with concentrated transaction risk.

Sicherheit is most attractive where transaction volume is already meaningful, fraud review is operationally painful, and teams need more than a scoring model. The near-term strategy remains Nigeria first, with expansion designed for other African countries and later Europe starting with Germany.

Fintechs and digital banks

Protect transfers, wallet activity, and onboarding flows.

Reduce manual review load on card, transfer, and wallet activity.
Investigate suspicious onboarding, velocity, and account takeover signals.
Preserve evidence for compliance and internal audit teams.

Payment processors

Centralize fraud response across merchant and payment streams.

Score incoming events from different merchant integrations consistently.
Give analyst teams shared queues, alert context, and delivery visibility.
Support escalations without forcing teams into disconnected tools.

Marketplaces

Cover buyer, seller, payout, and abuse risk in one system.

Track suspicious seller behavior and abnormal payout patterns.
Link alerts to cases and preserve notes across investigation rounds.
Coordinate trust and safety with finance and risk operations.

Wallet and agency-led operators

Make the team faster without sacrificing control.

See what was flagged, who handled it, and why decisions were made.
Improve analyst throughput with live prioritization and shared context.
Give admins role-aware access and cleaner governance controls.

Use cases

What teams actually use it for.

The product is not just for scoring transactions. It is for making risky activity operationally manageable once the alert appears.

Payment fraud

Card, transfer, and USSD anomalies

Detect unusual amount, device, channel, or velocity patterns quickly enough for an analyst to intervene before losses escalate.

Account security

Account takeover and suspicious login behavior

Correlate risky account activity with transaction context so teams do not review identity issues and payment issues in separate systems.

Marketplace abuse

Seller, payout, and refund manipulation

Monitor merchant and seller behavior, open cases around payout risk, and keep internal evidence together for finance and trust teams.

Operational workflow

Shared queues, cases, and case notes

Replace fragmented email, spreadsheet, and chat-based review patterns with an investigation timeline that survives handoffs and escalations.

Auditability

Explainable decisions and action history

Preserve what was scored, what threshold triggered the alert, what the analyst decided, and when changes were made.

Notification visibility

Delivery tracking across channels

Keep in-app, email, and webhook delivery attempts visible so the team can see whether critical alerts actually reached the intended audience.

Return profile

Why the economics can justify the category.

The category earns budget when it improves analyst throughput, reduces loss exposure, and lowers the operational cost of governance. The model below is an illustrative frame for a mid-sized Nigerian payments business.

Labor efficiency

Reduce manual review time per alert.

Centralized cases, explanations, and shared notes can cut time lost to context switching and incomplete investigations.

Loss reduction

Catch risky activity earlier in the lifecycle.

Faster alerting and better prioritization help teams intervene before higher-risk transactions cascade into larger downstream losses.

Governance

Lower the operational cost of audit preparation.

A clean decision trail reduces the scramble around who reviewed what, why it was approved or escalated, and what evidence supported the decision.

Example ROI model

Illustrative annual value for a Nigerian payments team reviewing 180,000 alerts.

If a team saves 3 minutes per review, prevents a fraction of avoidable loss, and reduces operational overhead around escalations and reporting, the value stacks quickly.

Alert reviews 180k / year

Time saved 9,000 hours

Labor value NGN equivalent of 9,000 analyst hours

Total value case Labor + fraud loss reduction + audit efficiency

Integration model

Example: how AtlasPay Nigeria would deploy Sicherheit.

AtlasPay Nigeria is a sample wallet, transfer, and merchant payments business. The integration model shows how Sicherheit can sit inside the payments stack as a reusable fraud operations layer rather than a thin alert dashboard.

Sample business flow

01 Source systems

AtlasPay wallet, checkout, and payout services

Wallet transfers, card payments, bank transfers, USSD collections, merchant checkouts, user account events, and payout requests generate transaction payloads and operational metadata.

02 API layer

Sicherheit ingestion API

AtlasPay Nigeria posts authenticated transaction events into the API, which validates payloads, stores raw events, and acknowledges quickly.

03 Event backbone

Kafka topics

Validated events are published to the streaming backbone so scoring and alert generation happen asynchronously without slowing ingestion.

04 Decision engine

Scoring worker and alert logic

Workers load context, score risk, persist decisions, open alerts, and create notification delivery records for analyst response.

05 Operations layer

Dashboard, cases, and notifications

Fraud analysts investigate alerts, managers monitor trends, and admins control access, user roles, and audit visibility in one workspace.

Phase one

Integrate core collections and transfer events, stand up analyst access, and start with live alerts plus case creation for the fraud team.

Phase two

Add account behavior signals, payout risk, failed transfer patterns, and notification workflows across in-app, email, and webhooks.

Phase three

Expand reporting, management visibility, and operational KPIs to support executive reviews, governance, and cross-functional planning, while preparing the operating model for rollout into additional African markets and later Europe starting with Germany.

Investment view

Sicherheit targets a real operating problem with a staged expansion path.

The thesis is straightforward: fraud tooling in emerging payment markets often stops at detection, while operations teams still run investigations in a fragmented way. Sicherheit is built around that operational gap, starting with Nigeria and expanding into other African countries before moving into Europe through Germany.

Next step

Open a conversation around distribution, pilots, or market entry.

Use this section to move from narrative to diligence: product demo, architecture review, pilot conversation, or strategic discussion around the Nigeria-first expansion path.

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