Digital surfaces
Threat themes
- Content Theft
- Account Hijacking
- Data Privacy
Verified Thailand data
Official market-level data helps translate cyber, fraud and payment exposure into practical sector decisions.
Crypto investment, romance, investment and celeb-bait scams
SEC-highlighted common online scams in Thailand
- Official source:
- Securities and Exchange Commission Thailand
- Period:
- July 2025
- Scope note:
- Official Thailand market-level figure. Use for risk context only; not a per-company loss estimate, probability forecast, or BilgeQor outcome.
541,313 online cases
Online crime cases recorded on Thai Police Online
- Official source:
- Technology Crime Suppression Center / Royal Thai Police (Thai Police Online)
- Period:
- 1 Jan 2025 – 18 Jun 2026
- Scope note:
- Official Thailand market-level figure. Use for risk context only; not a per-company loss estimate, probability forecast, or BilgeQor outcome.
Five example cases totalled ฿46,330,547
AOC example online-crime losses in one week
- Official source:
- Ministry of Digital Economy and Society / AOC 1441
- Period:
- 7–13 Apr 2025
- Scope note:
- Official Thailand market-level figure. Use for risk context only; not a per-company loss estimate, probability forecast, or BilgeQor outcome.
Likely loss areas
These are realistic business impact areas for this sector. They are not forecasts or per-company loss estimates.
- Account hijack and impersonation
- Paid-community and creator-payment abuse
- Romance, investment or celeb-bait scam association
- Reputation loss after follower harm
What structured security support changes
Regular support turns uncertainty into visible surfaces, priorities, evidence and follow-through.
Visibility
With structured support
Key account, payment, API, admin and vendor surfaces are mapped before an incident exposes them.
Without structured support
Risk is often discovered through customer complaints, suspicious transfers, platform abuse or an urgent vendor review.
Prioritisation
With structured support
Security findings are translated into a practical remediation sequence for business owners and technical teams.
Without structured support
Teams may fix visible symptoms while fraud, access and integration risks remain unresolved.
Evidence
With structured support
Management receives a security file with scope, evidence, priorities, remediation notes and follow-through options.
Without structured support
Decision-makers may lack a clear record when banks, partners, platforms or customers ask what was reviewed.
Response readiness
With structured support
Fraud, phishing, account abuse and incident-response pathways are discussed before escalation is required.
Without structured support
Escalation starts under pressure, often after transfers, customer harm or public-facing disruption have already occurred.
Cost control
With structured support
Preventive work becomes budgetable, staged and linked to the most exposed business surfaces.
Without structured support
Cost appears during crisis: urgent fixes, investigation time, platform review, customer support and trust rebuilding.
BilgeQor Method
A practical path from official market evidence to a decision-ready security file.
01
Market and sector evidence
We start from official Thailand risk signals — online crime, payment activity, scam infrastructure, investment scam exposure and cyber threat statistics.
02
Exposure mapping
We map the visible digital surfaces that matter: login, payment flow, admin console, customer portal, vendor access, API and public brand surfaces.
03
Business impact framing
Findings are framed by likely loss areas: payment loss, account abuse, customer trust, downtime, regulator or platform review, and recovery cost.
04
Security file delivery
The output is a clear security file: executive summary, evidence, priority risks, remediation notes and a staged action path.
05
Follow-through
Where needed, the work continues through advisory, validation, hardening or application-security review so the file does not stay theoretical.