SaaS Security & Reliability Audits
For a live product with real paying customers, shipped feature by feature and never reviewed as one whole system. We map the real attack surface, find what a determined user could actually get away with, and prove every fix against production -- without taking the product down to do it.
01
Who This Is For
This is the engagement for a team that recognises their own situation in most of the following, not a generic checklist sold to anyone with a website:
- A live product with real paying customers -- not a pre-launch MVP with nothing at stake yet.
- Built feature by feature over time, with no single end-to-end review ever run against the whole system.
- Running on Supabase/Postgres with row-level security, or a comparable stack where access control lives partly in database policy, not just application code.
- Holding something that actually matters if it leaks or breaks -- billing, usage data, customer records, stored analyses or output.
02
What's Covered
The Real Attack Surface, Not the Obvious Bits
Every edge function, every database policy, every place user input reaches billing, auth, or another user's data -- not just the parts already flagged as sensitive.
Two Independent Audits, Run in Parallel
One pass on the application and edge-function layer, a second pass focused purely on the database and row-level security rules -- so a blind spot in one doesn't become a blind spot in both.
Exploit Reproduced, Then the Fix Reproduced
Every finding is confirmed against the live production system with the actual request that broke it, then confirmed again after the fix -- alongside the legitimate version of that same action, to rule out breaking real users to stop bad ones.
Every Paid Flow, Walked by Hand
Signup, settings, billing, account deletion, upgrade flow -- clicked through end to end once security closes out, because "secure" and "working" are two different bars to clear.
03
A Real Audit, Not a Pitch Deck
This page describes a repeatable process, not a hypothetical one. The numbers above are from a real engagement: Analytix-AI, a live SaaS product with over 120 active users, three subscription tiers, real Stripe billing, and hundreds of stored chart analyses. Twelve vulnerabilities were found and fixed -- three critical, three high, four medium, two low -- every one verified against the live system, with zero downtime along the way.
04
Questions We Actually Get
Does this cause downtime while you audit a live product?
No. Every finding is reproduced and fixed against the live production system, then re-verified -- the real engagement this is built on closed 12 vulnerabilities with zero minutes of downtime.
What stack does this audit cover?
Application and edge-function code, database row-level security policies, auth, and billing. Supabase/Postgres RLS-based stacks specifically -- it's the stack Arkonos Labs builds on day to day, not a generic checklist run against unfamiliar infrastructure.
What happens when something critical is found?
It's reproduced with the actual request that breaks it, fixed, then reproduced again against the live system alongside the legitimate version of that same action -- so the fix is proven not to break real users while it closes the hole.
Shipping something real customers pay for?
This is the same audit-and-verify process we run before any client product carries real customers and real payments. Let's talk.
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