Operator-grade
The team that scopes your work in Bishan 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 post-quantum cryptography readiness for Bishan-based transport organisations — board-ready reporting mapped to MAS TRM and Cybersecurity Act 2018. Post-quantum cryptography readiness ahead of the NIST PQC deadlines and the "harvest now, decrypt later" reality already in play — cryptographic inventory, agility assessment and a migration plan that does not block engineering for years.
The transport, residential concentration around Bishan sees ransomware, identity-driven attacks and supply chain compromise. Our post-quantum cryptography readiness work in Central Region 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 post-quantum cryptography readiness to organisations across Bishan and the wider Central Region region (population ~88k). The transport, residential sectors that anchor the region face a distinct threat profile — ransomware, identity-driven attacks and supply chain compromise — 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 Bishan 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: ransomware, identity-driven attacks and supply chain compromise. Basalt's Bishan engagements are scoped to the threat profile of transport teams in Central Region, 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 Bishan 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 Bishan and the wider Central Region 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 transport sector concentration in Bishan drives a different threat model than a generic Singaporean engagement — ransomware, identity-driven attacks and supply chain compromise. 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