Three ways to get a clear read on a sensitive-data product.
This work sits before compliance automation, pentest cleanup, or legal document review. Start with a fast teardown, move to a full review if needed, or use a fix sprint when issues are already known.
Need to know whether the product itself is defensible before you buy more machinery? Start with the 48-hour teardown. Need the full picture? Choose the full review. Need help shipping corrections? Move into a fix sprint.
Get a 3-point risk read.
Free fit check, not an audit. Send the product URL, launch stage, and one concern. I'll reply with whether to start with a 48-hour teardown, go straight to the full review, use a fix sprint, or skip the engagement.
- • Free fit check, not an audit.
- • Send product URL, launch stage, and one concern.
- • I reply with whether a 48-hour teardown, full review, fix sprint, or no-fit makes sense.
Usually answered within 1-3 business days. That first reply is fit guidance; paid 48-hour teardown delivery starts after scope is agreed.
Where This Sits
- • Before SOC 2 evidence collection and trust-center workflows
- • Before HIPAA-ready hosting becomes a shelter for bad product decisions
- • Before buyers force the team to defend weak consent, recovery, or retention flows
- • Before a pentest or lawyer sees the downstream mess
- • Not a compliance certification
- • Not a law firm or regulatory opinion service
- • Not a generic pentest replacement
- • Not policy-only rewriting or security theater
Who Buys This
Health app founder before launch
AI tool handling sensitive prompts
Legal-tech product under buyer review
Wellness app collecting intimate behavior
Which Review Do I Need?
Packages
Starting at CA$250
A fast first pass for teams that need to know if a real product problem exists.
- • Top 3 product trust risks
- • Why each risk matters
- • First fix for each issue
- • Recommendation on whether a deeper review is worth it
- • Short written readout
See a redacted sample teardown: top risks, why they matter, first fixes, evidence checked, and what the teardown is not.
Starting at CA$1,200
The full option when you need a review of collection, storage, and product behavior around sensitive data.
- • Threat model snapshot
- • Data boundary map
- • Collection and retention review
- • Product claims review
- • Risk-ranked fix roadmap
- • Proof gaps and buyer scrutiny notes
Starting at CA$1,500
Implementation support for the highest-value corrections once the problems are already known.
- • Patch privacy or UX copy
- • Tighten data collection boundaries
- • Improve export, deletion, recovery, or consent flows
- • Add verification notes or tests where practical
- • Ship the highest-leverage corrections first
What You Leave With
- • Ranked findings instead of a vague concern list
- • Clear boundaries and weak points
- • Concrete fixes in priority order
- • Written notes the team can keep using after the call
Final scope depends on product surface area, access, and whether the work is diagnostic, roadmap-focused, or implementation-heavy. Listed prices are starting points so buyers do not have to guess whether the work is accessible.
Common Review Paths
Privacy Review for Health Apps
Built for founders with a live or near-launch health product who need a concrete read on where the app collects too much, explains too little, or routes intimate user data through the wrong systems.
For health, wellness, and mental-health workflows where sensitive context is part of the product.
Privacy-First Health App Architecture
Built for teams shipping health, wellness, disability, or symptom-tracking apps that need the product architecture to match the privacy promise: local-first where it matters, cloud use only when justified, and export paths users can understand.
For health apps where privacy-first claims need local-first defaults, explicit export, and a defensible architecture map.
Pre-Launch Privacy Audit for Sensitive Data Apps
Use this when launch is close and nobody has yet forced the product to justify its collection paths, recovery behavior, logging posture, and trust claims under real operating conditions.
For launch-readiness, AI trust, and security-relevant behavior when sensitive-data exposure is near.
Local-First Health App Architecture Review
Built for teams shipping health or wellness products that should remain useful under degraded conditions, but still need a practical architecture review before launch or procurement review.
Primary path for local-first, degraded-mode, and explicit-export architecture concerns.
Data Minimization Review for Apps
Use this when the product collects, logs, or retains more than the core workflow can justify and the team needs a practical minimization pass before launch, procurement, or user scrutiny makes the excess harder to unwind.
For collection, retention, logging, analytics, and sharing defaults that need a narrower boundary.
CrisisCore Defensibility Packet
This is a structured review of whether your product can defend what it says about itself — across claims, data handling, AI boundaries, failure modes, and evidence gaps.
For products where public claims, data boundaries, AI workflows, failure modes, and documentation need a structured defensibility review before pressure arrives.
How To Hire
Send the product URL, launch stage, and main concern. Add a deadline only if timing matters. I'll reply with fit, likely package, and next step.