Operator-grade
The team that scopes your work in Parramatta 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.
Independent ai governance & risk for Parramatta-based finance organisations — board-ready reporting mapped to ASD Essential Eight and SOCI Act. AI governance that engineering teams will actually use — model and dataset inventory, risk tiering, red-team requirements per tier, and approval workflows that do not become the AI bottleneck. Mapped to NIST AI RMF and ISO/IEC 42001 where it matters.
The finance, government, tech concentration around Parramatta sees wire-transfer fraud, instant-payment abuse and identity-driven account takeover. Our ai governance & risk work in NSW is scoped against this real threat profile, not a generic checklist.
Every finding ships with a control reference against ASD Essential Eight and SOCI Act, with ACSC guidance cited where it changes the remediation priority. Board reporting follows the APRA CPS 234 expectation set.
Basalt delivers ai governance & risk to organisations across Parramatta and the wider NSW region (population ~260k). The finance, government, tech 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 ASD Essential Eight and SOCI Act that Australian boards already use, with regulator context (ACSC) called out where it changes a remediation priority.
The team that scopes your work in Parramatta 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: wire-transfer fraud, instant-payment abuse and identity-driven account takeover. Basalt's Parramatta engagements are scoped to the threat profile of finance teams in NSW, 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 Australia 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 Parramatta engagements scope inside one week and start within two. Retainer clients can trigger work the same day. We do not pipeline Australian 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 Parramatta and the wider NSW region. Routine assessments and detection engineering run remote with a tight feedback loop.
Every finding ships with a control reference against the ASD Essential Eight and SOCI Act so your compliance team is not re-mapping our report. Where ACSC guidance exists for the specific finding, we cite it inline. Board-level reporting follows the APRA CPS 234 expectation set.
The finance sector concentration in Parramatta drives a different threat model than a generic Australian 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
CREST-aligned penetration testing
Source code review and SAST/DAST integration