Catalog record · Fraud Detection & AML
Stage as of Oct 20, 2025 · historical report, not live reconfirmation.
FOCAL financial-fraud prevention
Vendor workflow source. A reviewed supplier account names the customer and workflow. Supplier attribution and deployment claims are not independent outcome validation.
Last researched Oct 26, 2026. Source access and reported stage are recorded below; deployment evidence does not establish ROI.
What the research supports
Al Rajhi signed an agreement with Mozn to apply its AI financial-crime platform to fraud prevention and risk intelligence.
- Reported stage
- Announced
- Technology
- Other supported technology
- Business function
- Middle Office
- Impact (legacy label)
- Not labeled
- Catalog date · unconfirmed
- Not reported
- Imported
- Oct 29, 2026
- Last researched
- Oct 26, 2026
Measures & evidence
No quantified measure recorded. This is a gap in the evidence, not a finding of no value.
Documented vendor relationships
No vendor relationship has been linked to this specific workflow in the curated overlay. This does not mean it was built without vendors.
See the company’s documented relationshipsDeployment evidence & limits
Announcement establishes agreement; ambiguous deploying language is not go-live confirmation. Status as of 2025-10-20.
Stage is as reported in the cited evidence. Current operating status has not been independently reconfirmed; the research date is an editorial review date.
Stage is as reported at the evidence date; continued operation through review date is not independently established.
Source register
- AlRajhi Bank Partners with Mozn to Harness AI in the Fight Against Fraudmozn.ai · opens in a new tab
Mozn · vendor-case · full-text · Published 2025-10-20
Research lanes: emerging_markets_banking · Batch global-discovery-2026-10-26. Coverage and remaining gaps