Digital surfaces
Threat themes
- Payment Fraud
- Account Takeover
- Supply Chain Compromise
Recommended services
Verified Taiwan data
Market-level figure, not a per-company loss estimate.
22.4% online shopping, 13.98% fake investment, 8.08% romance-investment
Top scam case types by accepted reports in August 2025
- Official source:
- National Police Agency / Criminal Investigation Bureau via Executive Yuan file
- Period:
- August 2025
- Scope note:
- Official reported case-type share. Use for sector relevance, not probability prediction.
30,000+ fraudulent and spoofed websites blocked by DNS RPZ
Fraudulent and spoofed websites blocked
- Official source:
- Ministry of Digital Affairs
- Period:
- Released July 2025
- Scope note:
- Official DNS blocking context. Use for fake website and impersonation risk context.
54,000 downloads / 610,000+ reports / nearly 300,000 illegal or fraudulent messages removed
MODA Fraud Buster System adoption and removals
- Official source:
- Ministry of Digital Affairs
- Period:
- 2025 recap, released March 2026
- Scope note:
- Official public anti-fraud technology program context. Do not present as a BilgeQor metric.
8.727bn transactions / NT$8.74tn amount
Non-cash payment transaction volume and amount in 2025
- Official source:
- Financial Supervisory Commission
- Period:
- 2025
- Scope note:
- Official payment-activity indicator. Use for payment surface exposure, not breach or fraud loss.
Likely loss areas
- fake storefront and spoofed checkout exposure
- customer support overload after shopping scams
- payment redirection and refund-abuse disputes
- brand trust loss from fraudulent ads and impersonation
Structured support changes the outcome
Visibility
With structured support
Key digital surfaces, payment flows, admin roles and external dependencies are mapped before an incident forces discovery.
Without structured support
Risks are often found only after fraud reports, user complaints, vendor review pressure or service disruption.
Prioritisation
With structured support
Security work is translated into business impact, owner, urgency and a practical remediation sequence.
Without structured support
Findings stay scattered across tools, vendors and teams, so high-impact issues may remain unresolved.
Evidence
With structured support
Leadership receives a concise security file with official market context, risk notes and follow-through actions.
Without structured support
Management may lack a clear record when customers, partners or regulators ask what was reviewed.
Incident readiness
With structured support
Access, logs, backups, vendor contacts and response priorities are prepared before a crisis.
Without structured support
Response starts under pressure, often while access ownership, evidence and communications are unclear.
Cost control
With structured support
Preventive work becomes budgetable and staged by risk.
Without structured support
Costs surface later as emergency remediation, lost time, fraud operations load or trust recovery.
BilgeQor Method
01
Market and sector evidence
Use official Taiwan fraud, payment and cybersecurity signals to frame risk without exaggerating it.
02
Exposure mapping
Map customer-facing flows, payment journeys, admin access, APIs, vendors and public forms.
03
Impact analysis
Translate findings into likely financial, operational, trust, data and partner-review impact.
04
Security file delivery
Deliver an executive-ready file with verified context, priority risks and remediation notes.
05
Follow-through
Keep risk visible through retest, advisory cadence or a focused implementation path.