Built for retail
Basalt's Orchard practice has been working retail 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.
If your retail business sits in Orchard, the threat profile is POS skimming, loyalty fraud and e-commerce account takeover. Basalt's threat intelligence practice is built around exactly that. Threat intelligence that drives detections and decisions, not PDF reports nobody reads — adversary-group tracking mapped to your attack surface, sector and geography, fed into your SOC and engineering teams.
The retail, hospitality concentration around Orchard sees POS skimming, loyalty fraud and e-commerce account takeover. Our threat intelligence work in Orchard Planning Area 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 threat intelligence to organisations across Orchard and the wider Orchard Planning Area region (population ~12k). The retail, hospitality sectors that anchor the region face a distinct threat profile — POS skimming, loyalty fraud and e-commerce account takeover — 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.
Basalt's Orchard practice has been working retail 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 MAS TRM and Cybersecurity Act 2018 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. Singaporean retail 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 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 Orchard 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 Orchard and the wider Orchard Planning Area 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 retail sector concentration in Orchard drives a different threat model than a generic Singaporean engagement — POS skimming, loyalty fraud and e-commerce 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