AI & ML platforms
Model disclosures, training data provenance, output risk.
Industries
Risk reviews shaped by how your product actually works.
We adjust scope, evidence, and severity weighting to the regulatory pressure your sector faces.
B2B SaaS
DPAs, subprocessors, enterprise security questionnaires.
Fintech
Consent, disclosures, and marketing compliance under scrutiny.
Healthtech
PHI handling boundaries, vendor sharing, tracking pixels.
E-commerce & DTC
Cookies, retargeting, SMS marketing consent.
Marketplaces
Two-sided data flows, lead handoff, accessibility scale.
Legal & professional
Confidentiality, records, accessible client portals.
Education & EdTech
Minors' data, accessibility mandates, consent.
Sector notes
What changes between sectors
Same rigor, different weighting. Here is how the emphasis shifts.
Regulated data
Healthtech and fintech reviews lead with data-sharing boundaries, vendor exposure, and tracking on authenticated surfaces.
Consumer marketing
Commerce and DTC reviews weight consent capture, SMS flows, and retargeting disclosures the heaviest.
Model risk
AI platforms get deeper coverage of training data provenance, output disclosure, and human review paths.