AI that uncovers, prevents & investigates fraud

Detect what matters early, uncover the networks behind it, and give investigators the context to act. Fraud & Investigation Intelligence on the MOZN AI Platform connects signals, entities and activities that look legitimate in isolation.

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THE CHALLENGE

You already have controls. The fraud is between them.

Sophisticated fraud rarely looks suspicious in a single transaction, entity or signal. It hides across complex networks, behaviors and multiple systems. Once an alert about potential fraud is received, investigators need to spend a lot of time gathering context rather than stopping the crime in its tracks.

Nothing looks wrong on its own

Fraud is increasingly hidden across entities, relationships and transactions rather than inside any individual record.

Investigators work across silos

Teams navigate fragmented information and systems, and high alert volumes make prioritization difficult. Outcomes depend on individual experience.

The rules are always behind

New patterns evolve faster than static rules, and investigation outcomes rarely feed back into detection.

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HOW MOZN SOLVES IT

Detection, prioritization and investigation in one loop.

We move beyond transaction-level anomaly detection to understand networks of people, companies, accounts and activities. Structured transaction data and unstructured documents are reasoned over together, in Arabic where the evidence is Arabic, and every investigator decision feeds the next detection.

Isolated models and alert queues

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Transaction-level anomalies only
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Alerts without context or priority
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Evidence gathered by hand
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Findings that never reach the model

MOZN AI Platform

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Entity and relationship intelligence
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Cases ranked by value and likelihood
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Evidence assembled before the analyst opens it
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Investigator feedback retrains detection

This reaches past banking fraud, deliberately.

The same detection and investigation loop applies to subsidy and benefits fraud, procurement collusion, insurance fraud and threat analysis. The typologies differ; the underlying intelligence does not.

The platform brings AI. Our engineers are how it fits you.

MOZN delivers a governed enterprise AI platform, configured for your organization by senior engineers who work inside your environment, alongside your teams. Value is proven on your top priority use case first, then scales by priority. What you keep is a sovereign capability, not a project.

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What's inside

What the solution actually contains.

Select a use case to see what it does and the capabilities behind it.

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Hidden Relationship & Network Fraud Detection

Fraudulent actors appear legitimate one at a time.

The platform connects entities, transactions and relationships to uncover coordinated fraud, hidden networks and suspicious connections that no single-record review would surface.


This is where entity resolution earns its place: the same actor across name variants, addresses and accounts resolves to one node, and the ring becomes visible.

[ DRAWS ON ]
Entity Resolution
Anomaly Detection
Risk Scoring
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Agentic Investigation Workbench

Every case arrives already worked up.

Investigators currently gather evidence, prioritize cases and navigate fragmented information by hand. The workbench provides an AI-assisted environment to prioritize, investigate and resolve cases faster.



Enterprise AI agents assemble the timeline, pull the related entities and draft the narrative, leaving the investigator to judge rather than collect.

[ DRAWS ON ]
AI Agents
Case Management
Knowledge Retrieval
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Threat Analysis

Assess emerging threats without assembling the picture by hand.

Potential threats are currently assessed through fragmented information and manual analysis. The platform connects and analyzes relevant signals, entities and relationships to identify and assess what is emerging.


Structured and unstructured intelligence are reasoned over together, which matters most where filings, evidence and documents are Arabic-heavy.

[ DRAWS ON ]
Entity Resolution
Anomaly Detection
Knowledge Retrieval
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PROOF

Proven fraud domain depth.

SAR 20M

in fraud prevented across more than 16 typologies at a leading Saudi bank

At a leading Saudi bank it helped prevent roughly SAR 20 million across more than 16 fraud typologies. The same methodology is deployed at a national development bank and in fraud, waste and abuse work for a national workforce fund in the region.

Typologies, data models and workflows were adapted to their actual fraud environments by MOZN’s forward deployed teams.

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BUILT FOR

High-assurance domains where the stakes are the highest

Financial institutions, public sector, and defense operate to the highest standards of trust and accountability. MOZN delivers intelligence that matters

Not listed here? MOZN works wherever the stakes are high and trust is non-negotiable

Talk to us

Put AI into production and keep it in control.

يعمل مهندسو مُزن جنبًا إلى جنب مع فرقكم لبناء ذكاء اصطناعي يستند إلى سياق أعمالكم، حتى تستند القرارات المهمة إلى الذكاء الذي يصنع الفرق.