Digital surfaces
Threat themes
- Fraud
- Data Theft
- Regulatory Non-Compliance
Recommended services
Recommended security products
Verified Singapore data
Official, market-level Singapore data — reported figures, not per-company loss estimates.
Reported scam losses
S$913.1m
Total reported scam losses in Singapore
- Official source:
- Singapore Police Force — Annual Scam and Cybercrime Brief 2025
- Timeframe:
- 2025
- Scope note:
- Official Singapore scam-loss data; market context only, not a per-company loss estimate.
Banking & Financial Services share of spoofed-industry phishing
56%
Banking and Financial Services share of spoofed-industry phishing attempts
- Official source:
- Cyber Security Agency of Singapore — Singapore Cyber Landscape 2024/2025
- Timeframe:
- 2024
- Scope note:
- Use for financial services, fintech, payments and customer-authentication risk context.
Phishing scam cases and losses
6,264 cases · S$39.9m
Reported phishing scam cases and losses, including unauthorised card transactions after victims shared card details, passwords, OTPs or digital tokens
- Official source:
- Singapore Police Force — Annual Scam and Cybercrime Brief 2025
- Timeframe:
- 2025
- Scope note:
- Use for authentication, payment, portal and account-takeover risk context.
Investment scam losses
S$336.2m
Reported investment scam losses
- Official source:
- Singapore Police Force — Annual Scam and Cybercrime Brief 2025
- Timeframe:
- 2025
- Scope note:
- Use for financial services, fintech, real estate and investment-platform risk context.
Likely loss areas
Mobile banking, internet banking portals, card flows, digital tokens, customer authentication, advisory journeys, and impersonation risk need disciplined evidence and recurring control checks.
What structured security support changes
Area
Risk visibility
With structured support
Critical digital surfaces, access paths, payment and data flows, and vendor dependencies are reviewed on a recurring basis.
Without structured support
Risk is often discovered after a customer complaint, failed vendor review, suspicious transaction, downtime event or incident.
Area
Payment and fraud exposure
With structured support
Authentication, payment redirection, invoice workflows, API journeys and customer account flows are mapped to likely fraud paths.
Without structured support
Fraud exposure can remain hidden inside checkout, email, portal, mobile or admin workflows until loss or trust damage occurs.
Area
Evidence for partners and leadership
With structured support
The organisation keeps a clearer security file with executive summary, prioritised risks, remediation notes and follow-up decisions.
Without structured support
Security answers become reactive during procurement, regulator questions, investor diligence, partner reviews or post-incident communications.
Area
Incident readiness
With structured support
Access ownership, logs, backups, recovery priorities and communication paths are easier to confirm before an incident escalates.
Without structured support
Teams may lose time identifying owners, systems, vendors, evidence and recovery priorities during a stressful event.
Area
Cost discipline
With structured support
Remediation can be sequenced by business impact and budgeted as a planned security activity.
Without structured support
Work is often done under pressure, with higher uncertainty, rushed decisions and wider business disruption.
BilgeQor Method
We turn market evidence, sector exposure and technical findings into a security file leadership can act on.
01
Market & sector research
We connect official Singapore data with the digital workflows that matter for the sector.
02
Exposure mapping
We map portals, apps, payment flows, APIs, admin paths, vendors and customer data touchpoints.
03
Impact analysis
We rank findings by operational, financial, trust, regulatory and delivery impact — not only technical severity.
04
Security file delivery
We deliver an executive summary, prioritised risks, remediation notes and a practical follow-through path.