Digital surfaces
Threat themes
- Financial Fraud
- Data Leakage
- Account Compromise
Recommended services
Verified Australia data
Official Australian data gives this sector context. These figures are market-level indicators, not per-company loss estimates or guarantees.
Top scam losses
Investment A$837.7m · Payment redirection A$166.8m · Phishing A$97.6m
Investment scams, payment redirection and phishing were among the top loss categories.
- Official source:
- National Anti-Scam Centre / ACCC / Scamwatch — Targeting Scams 2025
- Timeframe:
- 2025
- Scope note:
- Use for finance, property, payments, invoice, identity and customer-trust risk context.
Business email compromise losses
A$152.6m BEC losses · +66%
BEC attacks stole more than A$152.6 million from Australians, up 66% from 2023.
- Official source:
- Australian Federal Police — Business Email Compromise construction warning
- Timeframe:
- 2024
- Scope note:
- Use for invoice, supplier, construction, property, professional services and payment-redirection risk context.
Investment and phishing scam takedowns
11,964 websites · +90%
ASIC coordinated removal of 11,964 phishing and investment scam websites, a 90% increase from the previous 12 months.
- Official source:
- ASIC — AI-powered online investment scam takedown update
- Timeframe:
- 2025
- Scope note:
- Use for investment, fintech, wealth, property and brand-impersonation context.
Top business cybercrime types
19% email compromise · 15% BEC · 11% identity fraud
Top business reports included email compromise, BEC fraud and identity fraud.
- Official source:
- ASD / ACSC — Annual Cyber Threat Report 2024–25
- Timeframe:
- FY2024–25
- Scope note:
- Use for business email, invoice, access, identity and payment workflow context.
Likely loss areas
Property, real estate and investment platforms can face high-value payment redirection, investment-scam impersonation, fake listings, document tampering, settlement confusion, investor confidence loss and delayed recovery when payment and identity steps are not independently verified.
What structured security support changes
Dimension
Visibility
With structured support
Critical websites, apps, payment flows, admin roles, supplier access and logging gaps are mapped before a report, breach notification or customer complaint forces the issue.
Without structured support
Risk is often discovered after a scam report, account takeover, supplier dispute, data breach, DDoS event or vendor review creates pressure.
Dimension
Prioritisation
With structured support
Findings are ranked by business impact, using Australian market data, exposed-surface context and practical remediation sequencing.
Without structured support
Technical findings remain scattered, and teams may fix visible issues while payment, identity, logging or supplier risks remain unresolved.
Dimension
Evidence
With structured support
Leadership receives a clear security file: verified context, exposure notes, priority actions, remediation status and decision-ready language for stakeholders.
Without structured support
When a partner, insurer, client or regulator asks questions, evidence may be incomplete, outdated or spread across email threads and vendor tools.
Dimension
Response readiness
With structured support
Access, backups, logs, vendor contacts and incident notes are prepared so the team can respond faster and with less confusion.
Without structured support
Response starts under pressure, often with unclear ownership, limited logs, unknown third-party dependencies and delayed containment decisions.
Dimension
Cost control
With structured support
Preventive work becomes a scoped operating rhythm: baseline review, targeted hardening, application review and monthly advisory where needed.
Without structured support
Security cost appears during the most expensive moment: fraud, breach notification, downtime, emergency recovery, lost customer trust or failed procurement.
BilgeQor Method
For Australian organisations, BilgeQor turns official cyber, scam and breach context into a practical security file: what is exposed, what matters first, what can be fixed now, and what should become a recurring control.
01
Official context
We frame sector risk using official Australian sources such as ASD, ACCC, OAIC, ASIC, AFP and AIC, without converting public statistics into fake company-level predictions.
02
Exposure mapping
We map websites, apps, portals, payment journeys, admin roles, APIs, supplier access, cloud surfaces, logs and customer-data flows that are relevant to the industry.
03
Impact lens
We connect technical exposure to business impact: fraud, downtime, breach notification, vendor questions, customer trust, procurement blockers and recovery cost.
04
Security file
We deliver a focused decision file with executive summary, priority risks, remediation notes, 14/30/90-day actions and follow-through options where the client needs ongoing support.
This method does not claim to prevent every incident, guarantee compliance, or predict company-specific losses. It gives leadership and delivery teams a clearer, evidence-led way to reduce avoidable risk.