Fraud Detection

Network-level and bank-level ML fraud scoring and transaction verification.

3in Indonesia

Named Models

TallierLTMFeaturespaceReleasedOct 2023Runs onnot in the notesClasstabularFeaturespace fraud model; vendor claims up to 71% fraud value detection uplift when its embeddings are added. Acquisition by Visa unverified.Commercial use: proprietary terms; Jakarta hosting: unknown; Indonesian support: not stated

Decision Intelligence ProMastercardReleasedFeb 2024Runs onnot in the notesClasstabularMastercard card fraud model scoring each transaction in about 50 ms; claims average 20% detection uplift, up to 300%.Commercial use: proprietary terms; Jakarta hosting: unknown; Indonesian support: not stated

Where this comes from

Models the research names for this use case. Research, with sources on each model record.

Who Runs It

production, 3planned, 1

OVOCountry: IndonesiaAutomatic fraud detection on transaction patterns and devices; AI to detect manipulated and generative AI images and documents and to map fraud networks; CashShield AI fraud protection since 2018Vendor: OVO; CashShield (from 2018)productionDate25 Jun 2026No results statedEvidence: company statementConfidence: lowSource: grab.com, marketing-interactive.com

Bank MandiriCountry: IndonesiaAI in transaction verification and product development (not stated)Vendor: not statedproductionDate31 Jul 2024Applied for several years per IT DirectorEvidence: company statementConfidence: lowSource: investortrust.id

Mastercard issuersCountry: globalDecision Intelligence ProVendor: MastercardproductionDateFeb 2024Claimed average 20% detection uplift, up to 300%Evidence: company statementConfidence: lowSource: cdomagazine.tech

PT Jalin Pembayaran NusantaraCountry: IndonesiaJalin ML fraud detection (in development)Vendor: In-houseplannedDate22 Oct 2025In developmentEvidence: company statementConfidence: lowSource: jalin.co.id

Where this comes from

Documented uses by named organisations. The evidence column says who made the claim.

Candidate Models

TabArena: All Tasks, no imputation, snapshot 2026-05-06, 59 entries

A general benchmark for this model class, not a test on this use case. Elo across tabular tasks, anchored RandomForest default = 1000; TabPFN-lab researchers are involved. Higher is better. Elo has no zero, so the axis starts at 1,200. Showing 10 of 13.

AutoGluon 1.5Amazon maintainer-run1,700

TabPFN-2.6Prior Labs maintainer-run1,626

RealTabPFN-2.5Prior Labs maintainer-run1,604

TabICL v2INRIA maintainer-run1,598

RealMLPINRIA maintainer-run1,514

TabDPTLayer 6 AI maintainer-run1,460

TabMYandex maintainer-run1,448

LightGBMMicrosoft AI maintainer-run1,435

CatBoostYandex maintainer-run1,418

XGBoostDMLC community maintainer-run1,376

1,2001,5001,800

XGBoostDMLC community, tabularReleasedAug 2026open weightshas scoreslast 18 months

LightGBMMicrosoft AI, tabularReleasedJul 2026open weightshas scoreslast 18 months

TabPFN-2.6Prior Labs, tabularReleasedMar 2026open weightshas scoreslast 18 months

CatBoostYandex, tabularReleasedFeb 2026open weightshas scoreslast 18 months

AutoGluon 1.5Amazon, tabularReleased2026open weightshas scoreslast 18 months

TabICL v2INRIA, tabularReleased2026open weightshas scoreslast 18 months

RealTabPFN-2.5Prior Labs, tabularReleasedNov 2025open weightshas scoreslast 18 months

SAP-RPT-OSS (sap-rpt-1-oss)SAP, tabularReleasedJun 2025open weightshas scoreslast 18 months

TabDPTLayer 6 AI, tabularReleased2024open weightshas scores

TabPFN-3.5Prior Labs, tabularReleasedSep 2026last 18 months

Showing 10 of 30. All models of this class

Where this comes from

Derived, not researched: models in the directory whose class matches a class this use case uses, excluding family records and models shut down or deprecated. Ranked by how many fit facts they meet, then by release date. Each fit fact is read from the model record.

Use Case

Industry: finance and insurance
Model classes: tabular
Benchmarks or datasets: not in the notes
Regulatory notes: OJK AI Governance Book for Indonesian Banking (29 Apr 2025); POJK 12/2024 anti-fraud strategy; IASC: 432,637 reports, Rp9.1 trillion losses as of Jan 2026.
Surat Edaran Menkominfo 9/2023 Etika Kecerdasan Artifisial, Kementerian Komunikasi dan Informatika (now Kementerian Komunikasi dan Digital)Fraud detection is an AI-based service run by an electronic system operator, and the circular asks such operators to build and use AI on the values of inclusivity, transparency, humanity and security.
UU 27/2022 Pelindungan Data Pribadi, DPR and President of the Republic of Indonesia (administered by Kementerian Komunikasi dan Digital)Fraud detection processes personal and financial data of customers, which the law treats as a specific category of personal data, so the controller needs a lawful basis, must protect the data and must honour data subject rights.
Tata Kelola Kecerdasan Artifisial Perbankan Indonesia (2025 guideline), Otoritas Jasa Keuangan (OJK)Fraud detection is an AI use in banking, which OJK's AI governance guideline covers across the AI life cycle, including bias, explainability and cyber risk.
Panduan Kode Etik Kecerdasan Buatan yang Bertanggung Jawab dan Terpercaya di Industri Teknologi Finansial (2023), Otoritas Jasa Keuangan (OJK) with the fintech associationsFraud detection is also offered by fintech providers, for whom OJK's AI code of ethics sets principles of being beneficial, fair and accountable, transparent and explainable, and robust and secure.
POJK 8/2023 Penerapan Program APU, PPT dan PPPSPM di Sektor Jasa Keuangan, Otoritas Jasa Keuangan (OJK)Fraud detection supports customer due diligence or transaction monitoring, which financial service providers must run under their anti-money laundering and counter-terrorist financing programme.
UU 8/2010 Pencegahan dan Pemberantasan Tindak Pidana Pencucian Uang, DPR and President of the Republic of Indonesia (PPATK as financial intelligence unit)Fraud detection helps identify and report suspicious transactions, a duty this law places on reporting parties.
PBI 22/23/PBI/2020 Sistem Pembayaran, Bank IndonesiaFraud detection runs on payment transactions or cash services within Bank Indonesia's payment system, whose providers this regulation licenses and supervises.

Where this comes from

From the industry tracks T08 to T10 of the research notes.

R&D Topics

Links to R&D topics are awaiting review.

Where this comes from

Which R&D topics would most change this use case. Drafted by Claude from the topic definitions and the use case; proposed until approved.

Incidents

Scammers Reportedly Using Deepfake Video Calls to Impersonate Executives in Singapore and Orchestrate Corporate Bank TransfersSingapore, 2025-03-13, financialScammers in Singapore are reportedly using AI-generated deepfake video calls to impersonate corporate executives.
Alleged Deepfake CFO Scam Reportedly Costs Multinational Engineering Firm Arup $25 MillionHong Kong, 2024-02-02, financialA finance employee at the multinational engineering firm Arup was reportedly deceived into transferring $25 million by fraudsters using purported deepfake technology to impersonate the firm's CFO in a video call, according to the Hong Kong police.
Reported AI-Cloned Voice Used to Deceive Hong Kong Bank Manager in Purported $35 Million Fraud SchemeChina, 2020-01-15, financialIn January 2020, a Hong Kong-based bank manager for a Japanese company reportedly authorized $35 million in transfers after receiving a call from someone whose voice matched the company director's.

Where this comes from

Documented failures, harms or misuse in this kind of use, Indonesia first, then the region, then well-known cases elsewhere (AI Incident Database, OECD AI incidents monitor, reputable news). Not a claim about any deployment listed here.

In Neighbouring Countries

GCash (Mynt)Philippines, production, 2026-03-27Multi-layered AI-powered fraud protection for digital payments

Where this comes from

Documented deployments of this use case in Malaysia, Singapore, Thailand, Vietnam and the Philippines, each with its source.

Opportunities

Opportunities are awaiting review.

Where this comes from

Gaps found by rule in what the directory holds for this use case. Each is a proposal for review.

Links

IndustryFinance29 use cases, 46 deployments

Use CaseFraud DetectionFinance

Models

Decision Intelligence ProMastercard, tabular

TallierLTMFeaturespace, tabular

Who Runs It

OVOIn production, 25 Jun 2026

PT Jalin Pembayaran NusantaraPlanned, 22 Oct 2025

Bank MandiriIn production, 31 Jul 2024

Mastercard issuersIn production, Feb 2024

Graph

Models 2

Decision Intelligence ProMastercard, tabular

TallierLTMFeaturespace, tabular

Deployments 4

Mastercard issuersDecision Intelligence Pro, global Bank MandiriAI in transaction verification and product development (not stated), Indonesia OVOAutomatic fraud detection on transaction patterns and devices; AI to detect manipulated and generative AI images and documents and to map fraud networks; CashShield AI fraud protection since 2018, Indonesia PT Jalin Pembayaran NusantaraJalin ML fraud detection (in development), Indonesia

Sources

Mastercard Launches Decision Intelligence Pro, New Generative AI Model for Fraud Detection cdomagazine.tech https://www.cdomagazine.tech/aiml/mastercard-launches-decision-intelligence-pro-new-generative-ai-model-for-fraud-detection
paymentexpert.com/2023/10/27/featurespace-ai-large-transaction https://paymentexpert.com/2023/10/27/featurespace-ai-large-transaction/
Fraud Losses Reach IDR 4.6 Trillion, Jalin Strengthens Cyber Threat Detection with AI jalin.co.id https://www.jalin.co.id/en-id/news/news/fraud-losses-reach-idr-46-trillion-jalin-strengthens-cyber-threat-detection-with-ai
How Indonesian banks are using AI to minimise | Oradian oradian.com https://oradian.com/insights/public/how-indonesian-banks-are-using-ai-to-minimise-fraud-and-build-trust/
Ini Tiga Jurus Sukses Bank Mandiri Terapkan Artificial Intelligence investortrust.id https://investortrust.id/financial/35913/ini-tiga-jurus-sukses-bank-mandiri-terapkan-artificial-intelligence

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Fraud Detection", https://aurion.semai.id/usecases/fin-fraud-detection/, records of October 2026.