The audit card, in full โ this is exactly what lands in your inbox.
Every SaaS Readiness Audit ships as one interactive report: a scored dashboard, every finding with a concrete failure scenario and proof-of-concept, a fix-ticket list your engineers can work straight from, and โ after fixes ship โ retest evidence showing the score actually moved. Below is a complete example against a fictional booking SaaS, so you can see the real depth before booking your own.
Zenith Bookings โ appointment & deposit-collection SaaS for salons, spas and clinics
One critical double-booking race condition and a promo-stacking revenue leak were the headline findings โ both fixed and retested before this report was finalized. Everything else is normal, expected pre-launch hardening: consistent with a product that's ready to grow, not one that's unsafe to run.
Category scores
The same weighted model used on every audit, so scores are comparable across re-audits.
Methodology & tools
The techniques actually used to produce the findings below โ not a checklist run once and forgotten.
Concurrency / race-condition testing
Scripted parallel requests against booking-critical endpoints to catch check-then-act gaps a single manual click-through never surfaces.
k6 run --vus 20 --iterations 20 race-booking.jsManual auth & session testing
Role-swap, token-replay, and session-fixation attempts against every authenticated route, not just the ones with a visible admin label.
Burp Suite (repeater + intruder), custom cookie fuzzingDependency & supply-chain scan
Every direct and transitive dependency checked against known CVEs, with severity cross-referenced against actual reachability in this codebase.
npm audit, Snyk, osv-scannerBusiness-logic / abuse-case review
Manual walkthroughs written from the customer's side of the screen: promo stacking, tier-limit bypass, refund exposure โ the things a scanner can't find because nothing is "broken," just exploitable.
Manual, guided by OWASP ASVS ยงV4/ยงV11Static analysis & secret scanning
Source scanned for hardcoded secrets, unsafe deserialization, and SQL/NoSQL injection points before any dynamic testing begins.
Semgrep (OWASP ruleset), gitleaksCompliance mapping
Every security finding cross-referenced to OWASP Top 10 (2021); data-handling findings mapped to whichever of NDPR/GDPR actually applies to the product's real user base.
OWASP Top 10 2021, NDPRFindings
Every finding names the exact file, endpoint, or flow, includes a proof-of-concept where one applies, and what actually goes wrong โ not a vague "could be more secure."
OWASP Top 10 (2021) mapping
Every security finding above traces to one of these categories, so the report cross-references against any other audit you've had done.
| Category | Status | Driven by |
|---|
Fix tickets
Findings translate directly into tickets your team can pick up โ no re-interpretation needed.
Retest evidence
Fixes aren't taken on faith โ the critical and high findings were retested against the live app after the team shipped them.
Ready for real users once the two blocking items ship (both already fixed in this sample).
The double-booking race condition and promo-code stacking were the only launch-blocking issues found. Both are patched and retested above. Everything else is a normal-priority hardening item, not a reason to hold the launch.