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.
The difference between AI that ships and AI that stalls at legal.
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.
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
Fraud MOZN AI Platform
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.
What the solution actually contains.
Select a use case to see what it does and the capabilities behind it.
Hidden Relationship & Network Fraud Detection
Fraudulent actors appear legitimate one at a time.
Agentic Investigation Workbench
Every case arrives already worked up.
Threat Analysis
Assess emerging threats without assembling the picture by hand.
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.
Every high assurance sector suffering from fraud.
Delivered across banking and financial services, government funds and subsidy programs, public healthcare payers and security environments. The detection loop is the same in each; only the typologies change.
We are not an infrastructure or compute provider.
MOZN delivers the applied governance & MLOps layer that runs on top of whatever infrastructure you provide — your own, HUMAIN, or a hyperscaler.
Put AI into production and keep it in control.
See applied AI governance on your models.