Digital surfaces
Threat themes
- Service Disruption
- API Abuse
- Unauthorized Access
Recommended services
Recommended security products
Verified New Zealand data
Market-level figure, not a per-company loss estimate.
331
potential national-significance incidents
331 incidents were triaged for specialist technical support because of potential national significance.
- Official source:
- NCSC Cyber Threat Report 2025 / By the numbers
- Period:
- 2024/25
- Scope note:
- Official reported New Zealand figure. This is market-level context, not a per-company loss estimate and not a BilgeQor outcome.
NZ$47.9m
estimated harm prevented
NCSC estimated NZ$47.9 million in harm prevented by detection-services work in 2024/25.
- Official source:
- NCSC Cyber Threat Report 2025 / By the numbers
- Period:
- 2024/25
- Scope note:
- Official reported New Zealand figure. This is market-level context, not a per-company loss estimate and not a BilgeQor outcome.
5,916 / 150m+
phishing indicators / malicious threats disrupted
In Q1 2025, NCSC processed 5,916 phishing indicators and disrupted more than 150 million malicious threats through Malware Free Networks.
- Official source:
- NCSC Quarter One Cyber Security Insights 2025
- Period:
- Q1 2025
- Scope note:
- Official reported New Zealand figure. This is market-level context, not a per-company loss estimate and not a BilgeQor outcome.
117 / 34%
organisation incidents / phishing share
117 Q4 2025 general-triage incidents affected organisations; phishing and credential harvesting accounted for 34% of organisation incidents.
- 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.
Likely loss areas
Customer portals, billing flows, connectivity dashboards, service APIs, device management, support workflows and availability-sensitive systems need recurring visibility because disruption and account compromise can affect many users.
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.