Operator-grade
The team that scopes your work in Kaiapoi is the team that runs it. The architects are the operators. Findings come from people who've actually exploited what they're describing — not desk research.
Most code security audit engagements in Kaiapoi are either too generic or too academic. Basalt sits in the middle — operator-grade work, GCSB / NCSC NZ-cited reporting, New Zealand-context throughout. Manual and tooled code review across your highest-risk repos — secrets, auth, injection, deserialisation and supply-chain risk, with CI integration that keeps findings from coming back.
The manufacturing, dairy concentration around Kaiapoi sees OT ransomware, manufacturing-line disruption and trade-secret IP theft. Our code security audit work in Canterbury 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 code security audit to organisations across Kaiapoi and the wider Canterbury region (population ~13k). The manufacturing, dairy sectors that anchor the region face a distinct threat profile — OT ransomware, manufacturing-line disruption and trade-secret IP theft — 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.
The team that scopes your work in Kaiapoi is the team that runs it. The architects are the operators. Findings come from people who've actually exploited what they're describing — not desk research.
Local context matters: OT ransomware, manufacturing-line disruption and trade-secret IP theft. Basalt's Kaiapoi engagements are scoped to the threat profile of manufacturing teams in Canterbury, not a generic global checklist.
Where most regional providers are still testing for 2022 threat models, Basalt actively works agentic AI tool-abuse and indirect prompt injection at scale and identity-first attack chains across federated SaaS in production engagements. Forward-leaning, not theoretical.
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 Kaiapoi 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 Kaiapoi and the wider Canterbury 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 manufacturing sector concentration in Kaiapoi drives a different threat model than a generic New Zealand engagement — OT ransomware, manufacturing-line disruption and trade-secret IP theft. 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
CREST-aligned penetration testing
ITDR for identity-driven attacks