Digital surfaces
Threat themes
- Account Takeover
- Payment Fraud
- Compliance Violation
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.
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 individual cybercrime types
30% identity · 13% shopping · 10% banking
Top individual reports were identity fraud, online shopping fraud and online banking fraud.
- Official source:
- ASD / ACSC — Annual Cyber Threat Report 2024–25
- Timeframe:
- FY2024–25
- Scope note:
- Use for consumer platforms, marketplaces, mobile banking, payment and identity-risk framing.
Top observed adversary techniques
38% phishing · 31% compromised accounts · 30% identity info
Phishing, compromised accounts and victim identity information were the top observed techniques in incident reporting.
- Official source:
- ASD / ACSC — Annual Cyber Threat Report 2024–25
- Timeframe:
- FY2024–25
- Scope note:
- Use for exposure mapping, identity, account, portal and customer-trust context.
Likely loss areas
Australian fintech and payment teams can face losses through account takeover, payment redirection, investment-scam impersonation, mobile or online banking fraud exposure, chargeback pressure, customer trust erosion and delayed evidence for partners or regulators.
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.