Built for finance
Basalt's Auckland practice has been working finance threat profiles long enough to know which controls actually move the dial — and which line items quietly waste budget. We bring that pattern recognition in week one.
Auckland finance organisations face wire-transfer fraud, instant-payment abuse and identity-driven account takeover. Basalt's penetration testing practice tests against that real threat profile, not a generic New Zealand-wide playbook. CREST-aligned penetration testing for web apps, APIs, internal networks and cloud environments — findings ranked by exploitability, not just CVSS.
The finance, tech, shipping concentration around Auckland sees wire-transfer fraud, instant-payment abuse and identity-driven account takeover. Our penetration testing work in Auckland is scoped against this real threat profile, not a generic checklist.
Every finding ships with a control reference against NZ Privacy Act 2020 and NZISM, with GCSB / NCSC NZ guidance cited where it changes the remediation priority. Board reporting follows the CERT NZ Critical Controls expectation set.
Basalt delivers penetration testing to organisations across Auckland and the wider Auckland region (population ~1.7M). The finance, tech, shipping sectors that anchor the region face a distinct threat profile — wire-transfer fraud, instant-payment abuse and identity-driven account takeover — and our engagements are scoped to that, not a generic playbook. Reporting maps cleanly to the NZ Privacy Act 2020 and NZISM that New Zealand boards already use, with regulator context (GCSB / NCSC NZ) called out where it changes a remediation priority.
Basalt's Auckland practice has been working finance threat profiles long enough to know which controls actually move the dial — and which line items quietly waste budget. We bring that pattern recognition in week one.
Findings ship with control references against NZ Privacy Act 2020 and NZISM and remediation guidance written for the team that has to action it. Your board, your auditor, and your on-call engineer all get something they can use.
Basalt doesn't resell tooling. New Zealand finance clients get an independent read on what's working, what isn't, and what's costing more than it should — not a thinly-veiled sales pipeline.
Cyber security in New Zealand can't be done with last year's threat models. The Basalt practice runs against current attacker tradecraft — agentic AI abuse, MCP and AI-tool supply chain, post-quantum readiness — alongside the legacy infrastructure work that still keeps most organisations awake at night.
Most Auckland engagements scope inside one week and start within two. Retainer clients can trigger work the same day. We do not pipeline New Zealand clients through junior teams — a senior consultant scopes and runs the work end-to-end.
Both. Sensitive work — classified-adjacent environments, live incident response, OT walkthroughs — gets on-site time in Auckland and the wider Auckland region. Routine assessments and detection engineering run remote with a tight feedback loop.
Every finding ships with a control reference against the NZ Privacy Act 2020 and NZISM so your compliance team is not re-mapping our report. Where GCSB / NCSC NZ guidance exists for the specific finding, we cite it inline. Board-level reporting follows the CERT NZ Critical Controls expectation set.
The finance sector concentration in Auckland drives a different threat model than a generic New Zealand engagement — wire-transfer fraud, instant-payment abuse and identity-driven account takeover. Our scoping reflects that, and so does the test library we bring to the work.
Yes — this is core to how we work. Basalt actively researches and tests against agentic AI tool-abuse and indirect prompt injection at scale, MCP server and AI-tool supply chain compromise and identity-first attack chains across federated SaaS. Most regional providers haven't mapped these attack paths; we run them in production against client systems with explicit scope.
Strategic cyber security consulting
Adversarial testing for LLMs and AI systems
Source code review and SAST/DAST integration
ITDR for identity-driven attacks