Sheffield advanced manufacturing organisations face ransomware, identity-driven attacks and supply chain compromise. Basalt's ai governance & risk practice tests against that real threat profile, not a generic United Kingdom-wide playbook. 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 advanced manufacturing concentration around Sheffield sees ransomware, identity-driven attacks and supply chain compromise. Our ai governance & risk work in Yorkshire is scoped against this real threat profile, not a generic checklist.
Every finding ships with a control reference against NCSC Cyber Assessment Framework and UK GDPR, with NCSC UK guidance cited where it changes the remediation priority. Board reporting follows the FCA SYSC operational resilience expectation set.
Basalt delivers ai governance & risk to organisations across Sheffield and the wider Yorkshire region (population ~580k). The advanced manufacturing 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 NCSC Cyber Assessment Framework and UK GDPR that British boards already use, with regulator context (NCSC UK) called out where it changes a remediation priority.
Basalt's Sheffield practice has been working advanced manufacturing 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 NCSC Cyber Assessment Framework and UK GDPR 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. British advanced manufacturing 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 United Kingdom 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 Sheffield engagements scope inside one week and start within two. Retainer clients can trigger work the same day. We do not pipeline British 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 Sheffield and the wider Yorkshire region. Routine assessments and detection engineering run remote with a tight feedback loop.
Every finding ships with a control reference against the NCSC Cyber Assessment Framework and UK GDPR so your compliance team is not re-mapping our report. Where NCSC UK guidance exists for the specific finding, we cite it inline. Board-level reporting follows the FCA SYSC operational resilience expectation set.
The advanced manufacturing sector concentration in Sheffield drives a different threat model than a generic British 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