Fractional CISO
Ongoing embedded security, privacy, and technology leadership without a full-time hire.
Most advisors stop at assessing someone else's systems. BitSense designs, ships, and governs them. Writing the retrieval pipeline and writing the model-risk policy is what makes guardrails practical instead of theoretical.
Scoped to your stage — from a single assessment against a deadline to embedded leadership.
Ongoing embedded security, privacy, and technology leadership without a full-time hire.
Gap assessments, audit readiness, threat models, and architecture reviews against a date.
Working GenAI and agentic systems — designed, built, and delivered. Not slideware.
Board briefings, AI strategy, and on-demand guidance for investment and risk decisions.
Open any area for scope and the standards it maps to.
Engagements are described by sector and problem shape rather than by client name.
Before publishing: outcome figures marked [ metric ] must come from your own records. Replace each with a number you can evidence, or delete that outcome strip. Confirm client consent and NDA position for every story, then delete this note.
A connected infusion platform was held at FDA under Regulatory Hold. Cybersecurity documentation had to satisfy reviewer scrutiny at the highest level, against a clearance timeline the business could not afford to miss.
Rebuilt the premarket package around ISO 14971 risk linkage — threat model, SBOM, vulnerability handling, and postmarket surveillance commitments traced back to specific hazards rather than presented as a control list.
510(k) clearance obtained. The evidence structure became the template for subsequent submissions across the product family.
A product organisation had no route for external researchers to report vulnerabilities. Reports arrived through sales contacts and personal inboxes, with no triage, no severity discipline, and no publication path.
Designed and built a fifteen-stage intake-to-publication pipeline with five named human approval gates, deterministic CVSS-based severity scoring, and LLM-drafted advisory narrative only — never scoring. Added a Trust Center and notification outbox.
A defensible disclosure programme with a full audit trail on every decision: inputs, tool calls, and the approver who released it.
A small team was rebuilding the same evidence separately for SOC 2, HIPAA, GDPR, and cloud hardening reviews. Audit preparation consumed engineering capacity every quarter and findings repeated year over year.
Mapped 47 SOC 2 controls and 28 common-framework controls to a single shared-control library with HIPAA and GDPR overlays, plus AWS, Azure, and GCP hardening checklists. Delivered as an operable platform with an executive risk dashboard rather than a spreadsheet.
Evidence collected once and reused across frameworks, with control ownership and status visible to leadership between audits instead of only during them.
An automation opportunity involved sensitive documents that could not be sent to a third-party model provider under the organisation's data-boundary commitments. Conventional cloud AI was not available as an option.
Built entirely client-side: in-browser OCR with a Tesseract and WebGPU vision-model cascade across 18+ content types, a fully deterministic evaluation engine, negative-test generation, and per-item fault isolation so one bad input degrades one unit of work rather than the batch.
Automation delivered with no data leaving the client environment and no CDN dependency — removing the vendor data-use question from the approval path entirely.
Security investment decisions were being made from a control-maturity heatmap that told directors what was red but not what it would cost them, or what spending would change.
Introduced FAIR-based quantitative loss modelling alongside a strategy desk tracking pillars, weekly progress, meeting records, and stakeholder communications — with Word and Excel export shaped for the board pack.
Risk discussion moved from colour-coded severity to expected annual loss and marginal risk reduction per dollar, which changed the order of the roadmap.
Notes on AI governance, compliance strategy, and product security — from a practice shipping the systems, not just reviewing them.
Why control decisions should never derive from model output — and how to draw the line in an agentic pipeline without losing the value of the model.
Read →Mapping SOC 2, CMMC, ISO 27001, and HIPAA to shared controls so a small team stops rebuilding the same evidence for every audit.
Read →What a coordinated disclosure program actually requires — intake, triage, approval gates, and a Trust Center — and where teams get it wrong.
Read →Fifteen-stage intake-to-publication workflow with five human approval gates, deterministic severity scoring, LLM-generated advisory narrative only, an integrated Trust Center, and a notification outbox.
Single-file web application covering 47 SOC 2 controls and 28 common-control-framework controls, with HIPAA and GDPR overlays, AWS/Azure/GCP hardening checklists, and an executive risk dashboard.
Client-side document processing across 18+ content types using a Tesseract and WebGPU vision-model cascade, with a fully deterministic evaluation engine, negative-test generation, and per-item fault isolation. Zero data egress.
Tracking for strategic pillars, weekly progress, meeting records, and stakeholder communications, with Word and Excel export for board reporting.
BitSense Consulting provides security, privacy, and technology leadership across big-data platforms, AI and generative AI, cloud infrastructure, hardware, and connected products. Board-ready strategy paired with in-the-details execution.
Twenty-five years of practice across regulated industry — medical devices, defense supply chain, and connected products — including FDA 510(k) clearance achieved for an infusion-platform program under Regulatory Hold.
Engagements are principal-delivered. The person who scopes the work delivers it.
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