Operator-grade
The team that scopes your work in One-North 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 incident response for One-North-based biomedical organisations — board-ready reporting mapped to MAS TRM and Cybersecurity Act 2018. Incident response and retainer services for the moments where minutes matter — containment, forensics, communications and lessons-learned, on call when the page fires.
The biomedical, research, tech concentration around One-North sees IP exfiltration, lab-system intrusion and clinical-trial data theft. Our incident response work in Queenstown / Singapore R&D precinct is scoped against this real threat profile, not a generic checklist.
Every finding ships with a control reference against MAS TRM and Cybersecurity Act 2018, with CSA / MAS guidance cited where it changes the remediation priority. Board reporting follows the MAS Notice 655 expectation set.
Basalt delivers incident response to organisations across One-North and the wider Queenstown / Singapore R&D precinct region (population ~15k). The biomedical, research, tech sectors that anchor the region face a distinct threat profile — IP exfiltration, lab-system intrusion and clinical-trial data theft — and our engagements are scoped to that, not a generic playbook. Reporting maps cleanly to the MAS TRM and Cybersecurity Act 2018 that Singaporean boards already use, with regulator context (CSA / MAS) called out where it changes a remediation priority.
The team that scopes your work in One-North 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: IP exfiltration, lab-system intrusion and clinical-trial data theft. Basalt's One-North engagements are scoped to the threat profile of biomedical teams in Queenstown / Singapore R&D precinct, 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 Singapore 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 One-North engagements scope inside one week and start within two. Retainer clients can trigger work the same day. We do not pipeline Singaporean 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 One-North and the wider Queenstown / Singapore R&D precinct region. Routine assessments and detection engineering run remote with a tight feedback loop.
Every finding ships with a control reference against the MAS TRM and Cybersecurity Act 2018 so your compliance team is not re-mapping our report. Where CSA / MAS guidance exists for the specific finding, we cite it inline. Board-level reporting follows the MAS Notice 655 expectation set.
The biomedical sector concentration in One-North drives a different threat model than a generic Singaporean engagement — IP exfiltration, lab-system intrusion and clinical-trial data 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
Source code review and SAST/DAST integration