Digital surfaces
Threat themes
- Account Takeover
- Data Breaches
- Payment Fraud
Recommended services
Verified Hong Kong data
Official, market-level Hong Kong data — reported figures, not per-company loss estimates.
E-shopping fraud cases
12,505 cases · 28.9%
Most prevalent deception category, representing 28.9% of deception cases
- Official source:
- Hong Kong Police Force — Law and order situation in Hong Kong in 2025
- Timeframe:
- 2025
- Scope note:
- Use for e-commerce, marketplace, retail, ticketing and consumer-platform risk context.
Selected sector readiness scores
Financial 68.3 · Retail/Tourism 45.3 · Professional 46.0
Financial Services remained managed; Retail/Tourism and Professional Services remained below 50
- Official source:
- PCPD + HKPC — Hong Kong Enterprise Cyber Security Readiness Index and AI Security Survey 2024
- Timeframe:
- 2024 survey
- Scope note:
- Use only for the named sectors or directly related sector framing.
Attacked enterprises encountering phishing
98%
Among attacked enterprises, phishing remained the most common cyberattack type
- Official source:
- PCPD + HKPC — Hong Kong Enterprise Cyber Security Readiness Index and AI Security Survey 2024
- Timeframe:
- 2024 survey
- Scope note:
- Use for email, SMS, social impersonation, customer support and awareness-risk context.
Expanded attack delivery channels
34% social/IM · 18% crypto platforms
Attack delivery included social media or instant messaging platforms and cryptocurrency platforms
- Official source:
- HKCERT — Hong Kong Cybersecurity Outlook 2026
- Timeframe:
- 2025
- Scope note:
- Use for community, creator, retail, investment, fintech and customer-support exposure context.
Likely loss areas
Consumer accounts, loyalty systems, CRM exports, campaign links, social and instant-message impersonation, payment forms and customer-support channels need recurring review.
What structured security support changes
Area
Risk visibility
With structured support
Critical portals, apps, access paths, payment and data flows, cloud dependencies and supplier touchpoints are reviewed on a recurring basis.
Without structured support
Risk is often discovered after a customer complaint, suspicious transfer, failed partner review, outage, fraud case or incident.
Area
Fraud and payment exposure
With structured support
Authentication, payment redirection, invoice workflows, customer account flows, digital-token prompts and API journeys are mapped to likely fraud paths.
Without structured support
Fraud exposure can remain hidden inside checkout, email, mobile, portal, support 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, source context and follow-through decisions.
Without structured support
Security answers become reactive during procurement, investor diligence, regulator questions, bank or partner reviews, or post-incident communication.
Area
Incident readiness
With structured support
Access ownership, logs, backup separation, recovery priorities, vendor owners and communication paths are easier to confirm before an incident escalates.
Without structured support
Teams may lose time identifying owners, systems, vendors, evidence, backup status and recovery priorities during a stressful event.
Area
Cost discipline
With structured support
Remediation can be sequenced by business impact, documented clearly and budgeted as planned security work.
Without structured support
Work is often done under pressure with higher uncertainty, rushed decisions, wider disruption and more difficult stakeholder communication.
BilgeQor Method
We turn Hong Kong market evidence, sector exposure and technical findings into a security file leadership can act on.
01
Market & sector research
We connect official Hong Kong data with the digital workflows that matter for the sector.
02
Exposure mapping
We map portals, apps, payment flows, APIs, admin paths, vendors, cloud dependencies 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.