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CTO, IT Director

Construction & Project Platforms

Verified New Zealand data

Market-level figure, not a per-company loss estimate.

BEC-driven

high-value transfer fraud signal

NCSC linked the Q3 2025 loss increase to a small number of high-value reports involving unauthorised or falsified transfers of money resulting from business email compromise.

Official source:
NCSC Quarter Three Cyber Security Insights 2025 / Data landscape
Period:
Q3 2025
Scope note:
Official reported New Zealand figure. This is market-level context, not a per-company loss estimate and not a BilgeQor outcome.

29 / 25 / 23

organisation phishing / scam / unauthorised-access reports

Organisation incidents in Q2 2025 included phishing and credential harvesting 29, scams and fraud 25, and unauthorised access 23.

Official source:
NCSC Quarter Two Cyber Security Insights 2025 / Data landscape
Period:
Q2 2025
Scope note:
Official reported New Zealand figure. This is market-level context, not a per-company loss estimate and not a BilgeQor outcome.

32 / 21 / 17

public / professional / financial sector reports

Q4 2025 sector reports included Public Administration and Safety 32, Professional / Scientific / Technical / Administrative and Support Services 21, and Financial and Insurance Services 17.

Official source:
NCSC Quarter Four Cyber Security Insights 2025 / Data landscape
Period:
Q4 2025
Scope note:
Official reported New Zealand figure. This is market-level context, not a per-company loss estimate and not a BilgeQor outcome.

NZ$12.1m / 56

high-value loss concentration

Incidents of NZ$10,000 and over made up NZ$12.1 million, or 97% of Q3 2025 reported loss, despite consisting of only 56 incidents.

Official source:
NCSC Quarter Three Cyber Security Insights 2025 / Data landscape
Period:
Q3 2025
Scope note:
Official reported New Zealand figure. This is market-level context, not a per-company loss estimate and not a BilgeQor outcome.

Likely loss areas

Supplier portals, project files, tender documents, subcontractor access, invoice workflows, shared drives and remote access need recurring control to reduce BEC, access and document-manipulation exposure.

Structured support changes the outcome

Visibility

With structured support

Critical surfaces, access paths, payment flows, customer data and vendor dependencies are mapped before they become an incident.

Without structured support

Risk is often discovered after a fraud report, unauthorised access, customer complaint, partner review or operational disruption.

Prioritisation

With structured support

Findings are translated into a plain-English, business-prioritised roadmap so urgent access, payment, backup and logging issues are handled first.

Without structured support

Technical issues stay scattered across teams; fixes compete with product work without a clear impact view.

Evidence

With structured support

A security file, executive summary, remediation notes and follow-up record make security easier to explain to leadership, customers, banks and partners.

Without structured support

The organisation may rely on informal assurance, screenshots or fragmented notes when difficult security questions arrive.

Incident readiness

With structured support

Logging, access ownership, backup expectations and response paths are checked before a fraud, data-loss or service-disruption event escalates.

Without structured support

Response is slower because account ownership, vendor access, logs, backups and communication responsibilities are unclear.

Cost exposure

With structured support

Preventive work becomes budgetable and tied to official New Zealand risk signals instead of vague fear.

Without structured support

Cost often appears during a crisis: lost transactions, recovery work, customer trust loss, regulatory questions and rushed remediation.

BilgeQor Method

For New Zealand, BilgeQor turns official market signals into a practical security file: what is exposed, what could create business impact, and what should be handled first.

01

Market and sector evidence

We start with official New Zealand data from NCSC, MBIE / Consumer Protection, FMA, the Office of the Privacy Commissioner and business digital-capability sources where relevant.

02

Exposure mapping

We map payment flows, customer portals, apps, APIs, admin roles, cloud storage, vendor access, public forms and high-value document workflows.

03

Impact framing

We connect each risk to practical loss areas: fraud handling, unauthorised access, downtime, customer trust, partner review, recovery cost and remediation pressure.

04

Security file delivery

We deliver a structured executive summary, prioritised findings, remediation notes and a 14/30/90-day action path where appropriate.

05

Follow-through

One-off reviews can become monthly advisory, retesting, hardening or launch-readiness work when the team needs continued support.

The method does not guarantee prevention, recovery, compliance or regulator approval. It creates clearer security decisions using verified evidence and a maintained delivery record.