Industry Pain Points

Industry PET failures are rarely about theory alone. They come from procurement, unclear claims, infrastructure gaps, cost surprises, and outputs that still leak.

Research Handoff

Problem	Who benefits if solved	Why it is difficult	Starting directions
Procurement-ready privacy claims	Procurement teams, vendors, legal reviewers, and security reviewers	Claims must be comparable across PET families without flattening important assumptions	Draft a one-page evidence form; test it on product claims; separate customer controls from vendor guarantees
Operational readiness for PET deployments	Privacy engineers, SREs, security teams, and deployment owners	Production risk lives in keys, logs, rollback, monitoring, and output review, not just the PET mechanism	Write launch checklists by PET family; define rollback triggers; map controls to threat-model assumptions
Total cost of PET ownership	Product leaders, engineering managers, and funders	PET cost is nonlinear and often appears through integration, support, audits, latency, and education	Build scenario worksheets; compare rejected alternatives; include participant and audit costs
When governance beats cryptography	Product, legal, policy, and architecture teams	Teams often mislabel incentive or authority problems as data-movement problems	Classify constraints in real use cases; create a decision checklist; document when a PET adds complexity without reducing risk

Procurement-Ready Privacy Claims

Field	Card
Problem	How can PET vendors and builders make privacy claims that procurement teams can evaluate?
The itch	Buyers receive claims like "data stays private" without threat models, assumptions, failure modes, or evidence.
Why it matters	Procurement, legal, and security teams either block useful tools or approve tools they do not understand.
Current workaround	Long questionnaires, one-off security calls, and contract language.
Why the workaround is insufficient	It does not produce comparable evidence across PETs.
What good progress would look like	A claim register format for PET products: protected assets, adversaries, guarantees, evidence, limitations, and required customer controls.
Difficulty	Medium
Good for	Privacy engineer, policy researcher, technical writer
Related PETs	All PETs
Possible first contribution	Draft a one-page procurement evidence form and test it against three PET product claims.

Operational Readiness For PET Deployments

Field	Card
Problem	What operational checks should happen before a PET deployment goes live?
The itch	PET projects often prove the privacy mechanism but under-specify keys, logs, monitoring, incident response, upgrades, and rollback.
Why it matters	Production failures can invalidate the privacy story even when the PET is technically sound.
Current workaround	Borrow generic security launch checklists.
Why the workaround is insufficient	Generic checklists rarely ask about privacy units, output review, collusion assumptions, attestation, or DP accounting.
What good progress would look like	A PET-specific production readiness review with controls mapped to PET families.
Difficulty	Medium
Good for	Privacy engineer, systems builder, security engineer
Related PETs	FL, DP, MPC, HE, TEEs, synthetic data
Possible first contribution	Write a readiness checklist for one private inference deployment and include rollback triggers.

Total Cost Of PET Ownership

Field	Card
Problem	How can teams estimate total cost before choosing a PET?
The itch	PET decisions often compare privacy properties but omit engineering effort, participant support, latency, cloud spend, audits, and user education.
Why it matters	Good ideas stall when cost appears after architecture commitment.
Current workaround	Prototype one candidate and extrapolate.
Why the workaround is insufficient	It misses rejected alternatives and operational costs.
What good progress would look like	A cost worksheet that covers build, operate, monitor, audit, scale, and explainability costs for each PET option.
Difficulty	Good first research problem
Good for	Systems builder, benchmark maintainer, privacy engineer
Related PETs	All PETs
Possible first contribution	Compare total cost drivers for HE inference, TEE inference, and client-side inference for one model provider scenario.

When Governance Beats Cryptography

Field	Card
Problem	How can teams tell when the real problem is governance rather than needing a PET?
The itch	Organizations sometimes choose FL, MPC, or clean rooms to avoid hard conversations about purpose, authority, liability, and acceptable use.
Why it matters	A PET can add complexity without solving the actual blocker.
Current workaround	Let legal and technical teams negotiate separately.
Why the workaround is insufficient	The final design may satisfy neither privacy goals nor business needs.
What good progress would look like	A decision checklist that separates data-movement constraints from governance, incentive, and accountability constraints.
Difficulty	Good first research problem
Good for	Policy researcher, privacy engineer, product/security leader
Related PETs	FL, MPC, clean rooms, TEEs
Possible first contribution	Analyze three proposed PET use cases and identify which constraints are technical versus governance-driven.