Scam and Spam Call and SMS Protection for Subscribers

Network-level models that score calls, SMS and links for scam or spam and warn or block in real time, with customer reporting loops.

tabular language encoderunverified

0named models

74candidates

2deployments

2in Indonesia

Named Models

The research names no model for this use case.

Where this comes from

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

Who Runs It

production, 2

Indosat Ooredoo HutchisonCountry: IndonesiaAnti-Spam and Anti-Scam on Tanla Wisely AI (IM3 SATSPAM, Tri AI)Vendor: Tanla (Wisely AI)productionDate6 Feb 2026Over 2 billion detections and 2.5 million app activations in six months (company claims); launched about August 2025Evidence: company statementConfidence: lowSource: selular.id, oecd.ai

TelkomselCountry: IndonesiaSISCAMLING, network-level AI trained on anonymised telecom data (model not named)Vendor: Telkomsel (in-house)productionDate17 Dec 2025Rolled out gradually from 15 December 2025 to all customers in early 2026Evidence: company statementConfidence: lowSource: telkomsel.com, selular.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

mmBERT smallJohns Hopkins University (CLSP), language encoderReleasedAug 2025open weightsIndonesian statedlast 18 months

mmBERT baseJohns Hopkins University (CLSP), language encoderReleasedJul 2025open weightsIndonesian statedlast 18 months

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

Showing 10 of 74. 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: telecom
Model classes: tabularlanguage encoderunverified
Benchmarks or datasets: not in the notes
Regulatory notes: Surat Edaran Menkominfo 9/2023 Etika Kecerdasan Artifisial, Kementerian Komunikasi dan Informatika (now Kementerian Komunikasi dan Digital)Scam and spam call and SMS protection for subscribers 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)Scam and spam call and SMS protection for subscribers processes personal data of subscribers, such as identity, location and usage records, so the controller needs a lawful basis, must protect the data and must honour data subject rights.
UU 36/1999 Telekomunikasi, DPR and President of the Republic of Indonesia (administered by Kementerian Komunikasi dan Digital)Scam and spam call and SMS protection for subscribers is part of running a telecommunications network or service, which this law regulates, including the operator's duty to keep information sent and received confidential.
PP 71/2019 Penyelenggaraan Sistem dan Transaksi Elektronik, Government of the Republic of Indonesia (administered by Kementerian Komunikasi dan Digital)Scam and spam call and SMS protection for subscribers protects or hosts electronic systems, whose operators must run them reliably and securely and protect the data they hold.

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

Deepfake Video of Indonesian President Prabowo Subianto and Other Officials Reportedly Used in Scam to Defraud Citizens Across 20 ProvincesIndonesia, 2025-03-02, financialA deepfake scam allegedly using AI-generated videos of Indonesian President Prabowo Subianto and other officials reportedly defrauded victims across 20 provinces, tricking them into paying Rp 250,000 to Rp 1 million ($15-$60) for purported financial aid.
Prime Minister of Thailand Paetongtarn Shinawatra Claims AI Voice Scam Impersonated ASEAN Leader Requesting MoneyThailand, 2025-01-15, financialThailand's Prime Minister Paetongtarn Shinawatra reported being targeted by an AI-generated voice scam that mimicked a well-known but undisclosed ASEAN leader.
AI-Aided Scam in Thailand Allegedly Impersonates Police to Defraud 163 VictimsThailand, 2025-02-04, financialThai police arrested Ramil Pantawong and Thanawut Kanyaphan for allegedly using AI technology to impersonate police officers in a call scam.

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

Globe TelecomPhilippines, production, 2024-05-30Mavenir SpamShield AI/ML SMS spam and scam filtering; blocked messages fell 67 percent from Q1 2023 to Q1 2024

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

IndustryTelecom12 use cases, 24 deployments

Use CaseScam and Spam Call and SMS Protection for SubscribersTelecom

Modelsnone recorded

Who Runs It

Indosat Ooredoo HutchisonIn production, 6 Feb 2026

TelkomselIn production, 17 Dec 2025

Graph

Deployments 2

Indosat Ooredoo HutchisonAnti-Spam and Anti-Scam on Tanla Wisely AI (IM3 SATSPAM, Tri AI), Indonesia TelkomselSISCAMLING, network-level AI trained on anonymised telecom data (model not named), Indonesia

Sources

telkomsel.com/en/vas/siscamling https://www.telkomsel.com/en/vas/siscamling
selular.id/2026/02/indosat-klaim-blokir-2-miliar-spam-da... https://selular.id/2026/02/indosat-klaim-blokir-2-miliar-spam-dan-scam-dalam-enam-bulan/
oecd.ai/en/incidents/2026-02-06-59e8 https://oecd.ai/en/incidents/2026-02-06-59e8

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Scam and Spam Call and SMS Protection for Subscribers", https://aurion.semai.id/usecases/tel-scam-spam-protection/, records of October 2026.