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CTO, VP Engineering, CISO

SaaS & B2B Platforms

Verified Thailand data

Official market-level data helps translate cyber, fraud and payment exposure into practical sector decisions.

3,485 cyber threat situations

NCSA / ThaiCERT cyber threat situations

Official source:
National Cyber Security Agency / ThaiCERT
Period:
1 Oct 2024 – 30 Sep 2025
Scope note:
Official Thailand market-level figure. Use for risk context only; not a per-company loss estimate, probability forecast, or BilgeQor outcome.

Prevention, monitoring, detection, handling, remediation, customer care and self-protection

Comprehensive digital fraud management direction

Official source:
Bank of Thailand — Financial Fraud Prevention
Period:
Q2 2025 direction
Scope note:
Official policy and supervisory context. Do not present as BilgeQor capability, regulator approval, or compliance certification.

282,338 web pageviews / 20,788 mobile app uses

SEC Check First verification usage

Official source:
Securities and Exchange Commission Thailand
Period:
2025 usage, released February 2026
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.

  • Tenant-data isolation and API exposure
  • Customer admin-account takeover
  • Security review delays in enterprise sales
  • Operational trust loss after phishing or credential abuse

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.