Consulting engagement
Technical Privacy Engineering Review
Architecture-level review for products handling sensitive data, AI context, telemetry, identity, or analytics, with practical privacy-enhancing technology recommendations.
Deliverables
What you receive
- Data-flow and trust-boundary review across application, model, vendor, and analytics layers
- Threat model covering identifiability, linkability, observability, leakage, and misuse
- Privacy-enhancing technology suitability screen: differential privacy, zero-knowledge proofs, secure enclaves, MPC, FHE, selective disclosure, and anonymisation
- AI data-boundary review for prompts, retrieval, memory, logs, telemetry, and human review queues
- Implementation-priority report separating quick wins from research-grade or over-engineered controls
- Public-safe assurance wording for customers, procurement, or investors
Engagement
Three scopes to choose from.
Ideal client
Who this is for
Founders, CTOs, privacy engineers, and product teams who need more than policy templates: they need to know whether the architecture itself can support the trust claim.
Confidentiality boundary
Public-safe output, private technical work.
Reports can include public-safe summaries for customers, investors, or procurement teams. The underlying evidence stays private: prompts, test sets, system diagrams, weaknesses, data samples, vendor details, and remediation plans are not published or reused.
FAQ
Frequently asked
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Learn moreReady to get started?
Tell us about your organisation and we will scope the right engagement for you.