AI & SaaS Risk Audits
End-to-end review of model usage, data flows, vendor terms, disclosures, and automated decision risk across your product surface.
- Model & data flow mapping
- Training-data and vendor terms
- Disclosure gap analysis
ComplyMynt audits AI and SaaS products for legal, privacy, consent, accessibility, and cybersecurity exposure — then our engineers ship the remediation.
Risk reviews delivered
Median days to report
Findings closed in 90 days
Risk domains covered

Reviewed against
Inside the audit
Our engine crawls your live surfaces, replays consent and checkout flows, inspects network traffic and model responses, then routes every signal to the specialist who owns that risk domain.

Scorecards
Domain-level scores, weighted by severity and exposure, tracked across re-verification cycles.
Privacy
+22 since kickoff
Consent
+34 since kickoff
Accessibility
+19 since kickoff
Security surface
+27 since kickoff
Services
Run them together for full coverage, or start with the surface causing the most pressure right now.
End-to-end review of model usage, data flows, vendor terms, disclosures, and automated decision risk across your product surface.
Tag, tracker, and consent-banner analysis mapped to GDPR, CPRA, and state privacy expectations — with evidence you can hand to counsel.
Forms, SMS flows, call scripts, and lead-gen paths reviewed for express written consent, revocation, and record-keeping defects.
WCAG 2.2 AA testing combining automated scans with manual keyboard, screen-reader, and contrast validation on real user journeys.
Externally observable security posture: headers, exposure, authentication surfaces, and disclosure readiness — no intrusive testing.
Engineers who ship the fix: consent plumbing, accessibility refactors, policy generators, and CI guardrails in your codebase.
Continuous checks that catch regressions before they become claims — with quarterly executive reporting for your board.
Industries
Risk looks different in a model-serving platform than in a DTC storefront. Our review adapts.
Model disclosures, training data provenance, output risk.
DPAs, subprocessors, enterprise security questionnaires.
Consent, disclosures, and marketing compliance under scrutiny.
PHI handling boundaries, vendor sharing, tracking pixels.
Cookies, retargeting, SMS marketing consent.
Two-sided data flows, lead handoff, accessibility scale.
Confidentiality, records, accessible client portals.
Minors' data, accessibility mandates, consent.
Why ComplyMynt
We review model usage, automated decisions, and data provenance — not just cookie banners from 2019.
Every finding carries evidence, reproduction steps, an owner, and an estimated fix cost.
Fixed scope and fixed timelines. Most reports land inside two weeks of kickoff.
Least-privilege access, encrypted evidence storage, named handlers, destruction on request.
Board-ready summaries that survive procurement, security questionnaires, and diligence.
Remediation engineers hand you pull requests, not a list of recommendations.
How it works
A 30-minute call plus a short questionnaire. We define surfaces, jurisdictions, and success criteria in writing.
Read-only crawling, consent capture, network trace review, and documentation intake under NDA.
Findings are scored by likelihood, exposure, and remediation cost — no generic severity labels.
A board-ready report plus an engineer-ready backlog, delivered in a live walkthrough with your team.
Our engineers implement fixes alongside your team, or hand off precise specifications and tests.
Scheduled re-verification keeps closed findings closed and catches new regressions.
Sample findings
Redacted excerpts from real reports. Every entry ships with evidence and reproduction steps.
Six third-party trackers set identifiers on first paint, ahead of any banner interaction, in all tested EU sessions.
Model-assisted scoring affects user outcomes with no disclosure, opt-out path, or human review documented.
Checkout capture bundles marketing SMS into terms acceptance and stores no timestamped consent record.
Custom dropdowns trap focus at step two, blocking screen reader and keyboard-only account creation.
Findings workspace
Track severity, ownership, evidence, and closure in one shared surface — with drift alerts when a fix regresses.
Explore the sample workspace
Case studies
Series B AI platform
31 findings closed
Full write-up available under NDA.
DTC commerce
0 open TCPA defects
Full write-up available under NDA.
Healthtech SaaS
100% surface coverage
Full write-up available under NDA.
Pricing
Six engagement tiers, each building on the one before it. Every price is quoted and locked before work begins.
One risk domain, fully evidenced.
$2,500
one-time
Two domains plus a prioritized fix list.
$5,000
one-time
Full product surface across four domains.
$10,000
one-time
All seven domains across your entire surface.
$18,000
one-time
We find it, then our engineers fix it.
$30,000
one-time
Continuous assurance for regulated scale.
Starting at $50,000+
annual program
FAQ
Resources
Practical writing for teams shipping AI features under real regulatory pressure.
Request an audit and we will send scope, timeline, and a fixed price within one business day.