Digital surfaces
Threat themes
- Content Theft
- Account Hijacking
- Data Privacy
Recommended services
Recommended security products
Verified Taiwan data
Market-level figure, not a per-company loss estimate.
7.8m+ fraudulent messages targeting Taiwan blocked by Meta using MODA-reported data
Fraudulent messages blocked through platform collaboration
- Official source:
- Ministry of Digital Affairs
- Period:
- 2025 recap, released March 2026
- Scope note:
- Official public-private anti-fraud context. Use for platform abuse exposure and response ecosystem only.
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.
47.16% fake investment, 19.41% romance-investment, 13.03% fake police/prosecutor
Top scam loss types in August 2025
- Official source:
- National Police Agency / Criminal Investigation Bureau via Executive Yuan file
- Period:
- August 2025
- Scope note:
- Official reported loss-type share. Market-level loss composition, not an individual company loss estimate.
Likely loss areas
- account hijack and impersonation
- fraudulent message or ad misuse
- paid community access abuse
- revenue loss after platform trust incidents
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.
