Data Bureau (Singapore) will never ask you to transfer money or disclose banking log-in details over a phone call.
Call the 24/7 ScamShield Helpline at 1799 if you are unsure if a contact is legitimate.
Resources
Reference materials, publications, and tools to help you understand Data Bureau (Singapore)'s certification process and Singapore's trust landscape.
Section 1
A Data Bureau Report is a continuously maintained intelligence record compiled from statutory sources, fraud intelligence databases, and the entity's certification history. It covers the entity, its officers, its statutory standing, and its adverse record across independent sources, presented as a structured report with a DB TrustScore and risk grade.
Certification opens the record
A Data Bureau Report is opened on the date of first enquiry. The Entity Index accumulates from that date. Certified entities build a verified record over time. That record reflects the entity's standing as maintained.
Complete the form below to receive a sample Data Bureau Report by email. The sample is illustrative and based on a fictitious entity.
Section 2
A Data Bureau Report is structured in four sections.
The report opens with the enquiry record: report number, enquiry date, entity name, UEN, and report validity. A six-field summary follows: date of first enquiry, previous enquiries on record, officers on record, adverse records lifetime count, certificates held, and DB TrustScore with risk grade.
Entity profile fields: registered name, UEN, registered address, entity type, date of incorporation, principal activity, paid-up capital, ACRA annual return status, ACRA registration status, and Data Bureau Registry ID. Officer records list each director by name and reference, with verification status drawn from MinLaw Insolvency Office, MAS Investor Alert List, and ACRA BizFile. Statutory records follow: ACRA registration, annual return filing, MinLaw winding-up and judicial management, and MOM Debarment List.
Adverse records: seven check lines across Scam.SG Intelligence Database, MAS Investor Alert List, and MinLaw Insolvency Office. Each row states source, record type, date, and outcome. Entity Index fields: date of first enquiry, enquiries on record, adverse records lifetime count, days since last adverse flag, continuous clean standing commencing date, and certificates held.
TrustScore is a proprietary product of OnScam (SG) Pte. Ltd., operating as Scam.SG.
DB TrustScore: a numerical score from 0 to 100 computed continuously from five dimensions — statutory standing, officer integrity, fraud intelligence, consumer complaint record, and Entity Index. The score maps to a six-grade risk scale displayed as a horizontal band.
U
Unverifiable
D
Significant adverse
C
Observable concerns
B
Satisfactory
A
Sound
AA
Exemplary
Grades run left to right from lowest to highest standing. AA is the highest grade attainable.
Section 3
Selected government and institutional publications relevant to Singapore's anti-scam landscape.
For Data Bureau (Singapore)'s own institutional positions on contested issues in data governance and business trust, see the Position Papers.
Source: Scam.SG — How the Singapore Government is Fighting Scams
Facility Restriction Framework for Scam Mules
New measures to restrict scam mules' access to digital banking, ATMs, card transactions, new mobile lines, and Singpass/Corppass for high-risk registrations. Applies to those convicted, warned, or being investigated as scam mules.
Singapore Police Force
“Stop and Check” National Cybersecurity Campaign (6th Edition)
A public cybersecurity awareness campaign emphasising pausing to verify unsolicited messages and calls. Includes roadshows, pop-ups, digital and outdoor advertising, and public education on enabling 2FA, identifying scams, and using ScamShield.
Cyber Security Agency of Singapore
GovTech Joins Global Signal Exchange (GSE)
GovTech, in partnership with the Singapore Police Force, becomes the first government agency to join the Global Signal Exchange — enabling real-time sharing of scam signals and abuse data with the public and private sector globally.
Government Technology Agency of Singapore
2025 Mid-Year Scams and Cybercrime Report
Singapore Police Force statistics on scams and cybercrime for the first half of 2025, covering case volumes, total losses, key scam types, and enforcement outcomes.
Singapore Police Force, via Scam.SG
Section 4
Data Bureau (Singapore) monitors developments in Singapore's data governance and trust landscape as part of its institutional mandate. The following publications inform the institution's standards and intelligence work.
GovTech Joins Global Signal Exchange (GSE)
GovTech, in partnership with the Singapore Police Force, becomes the first government agency to join the Global Signal Exchange — enabling real-time sharing of scam signals and abuse data between the public and private sectors globally. Relevant to Data Bureau (Singapore)'s intelligence monitoring posture and cross-border scam signal aggregation.
Government Technology Agency of Singapore
PDPC Annual Report on Personal Data Protection
The PDPC's annual report documents enforcement actions, advisory decisions, and policy developments under the Personal Data Protection Act. Relevant to Data Bureau's assessment of regulatory compliance posture and to the Information Flow Governance standard (IFG-04).
Personal Data Protection Commission (PDPC)
Section 5
Assessment criteria for each Data Bureau certification class are published through the public consultation process and in the corresponding circulars under Publications & Intelligence. They are not listed on this page.
View Publications & Intelligence →Last reviewed: April 2026