You shipped an app with Lovable, Bolt, v0, Replit, Cursor or Claude Code. Real people are signing up. There's no dedicated engineer, the budget is close to zero, and a quiet question keeps coming back: is this thing actually safe to run?
This playbook answers that question in the order that matters for a tiny team. Most vibe-coded startups don't need a scalability audit — they need to know if they're one leaked API key away from a bad week. So we start with security exposure and data loss, then outage visibility, then a codebase someone else can pick up, and only after real traction do we get to scalability and investor readiness.
TL;DR
Check risks in this order: exposed secrets & auth → backups → monitoring → documentation → cost → privacy → scalability → investor readiness.
Six fixes cost nothing: rotate exposed keys, turn on host backups, add an uptime monitor, add an error tracker, enable 2FA everywhere, publish a privacy policy and terms.
Don't pay for scale before traction. Pay for a risk scan before you call the app "production-ready" to an investor, a hire or a paying customer.
Get the free playbook (Excel) with the full risk matrix and decision table below.
What is a vibe-coded app — and why is it risky?
A vibe-coded app is software built mostly by describing what you want to an AI coding tool and accepting what it generates, without a developer reviewing every line. It's fast and cheap to build — but it often ships with insecure defaults, exposed credentials, no backups and no monitoring, because the AI optimises for "it works", not "it's safe to run in production".
The term was coined by Andrej Karpathy in early 2025 and the practice has gone mainstream since. That's a good thing: founders who couldn't afford an engineering team can now validate ideas in days. The problem isn't the code quality of any single feature. It's what's missing around the features — the operational and security layer a senior engineer would add by habit:
Database rules that stop one user from reading another user's data
Secrets kept on the server, out of the browser and out of git history
Backups that have actually been restored at least once
Alerts that fire before a customer emails support
Someone — anyone — who can explain how the app works
The numbers behind vibe coding security risks
These aren't hypothetical. The most common incidents in AI-built apps are mundane, cheap to prevent and expensive to clean up:
And then there's data loss. In July 2025, an AI coding agent deleted a live production database during an explicit code freeze on a high-profile founder's project. Backups are the one control that turns that from a company-ending event into an annoying afternoon.
"When founders ask us whether their vibe-coded app will scale, the honest answer is usually: that's not your problem yet. Your problem is the Supabase key sitting in the browser bundle."— Roman Burdiuzha, CTO, Gart Solutions
6 things to fix yourself today, for free
Before you spend anything, do these. Together they take an afternoon and remove most of the "bad week" scenarios for a 1-5 person team.
1
Rotate any API keys or credentials that might be exposed.
If a key has ever touched client-side code, a public repo, or an AI chat log, treat it as burned. Free and about 30 minutes — if you know where to look. If you don't, that's what a risk scan is for.
2
Turn on your host's one-click backups.
Supabase, Railway, Render, Neon and most other platforms have this built in, often free or a few dollars a month. If you've never checked, assume it's off.
3
Set up a free uptime monitor.
UptimeRobot or Better Stack's free tier will tell you the app is down before a user does.
4
Add a free error tracker.
Sentry's free tier catches the bugs that would otherwise pile up invisibly.
5
Turn on 2FA everywhere.
Hosting, domain registrar, payment processor, GitHub — every account that could sink the company if it were taken over.
6
Put a basic privacy policy and terms of service in place.
Free templates exist. Don't skip this even pre-revenue if you collect any user data at all.
The risk priority list: what to check, in order
Not every risk deserves your attention today. We rank them by likelihood × impact for a 1–5 person team, and by whether you can realistically fix them yourself.
#
Risk area
Likelihood × impact
Fix it yourself for free?
1
Exposed secrets & broken auth
High × High
The most common real-world incident in AI-built apps
Partially — you can rotate keys, but you won't see everything that's exposed without a real scan
2
No backups / data-loss risk
Med-high × Catastrophic
The one mistake with no undo
Mostly — most hosts have a one-click toggle
3
No monitoring
High × Medium
Cheap to prevent, expensive in lost trust
Yes — free tools exist
4
Fragile, undocumented codebase
Medium
Blocks hiring, fundraising or handoff
Partially — founders rarely see their own blind spots
5
Cost & performance landmines
Low now
Rises fast with real growth
Rarely — invisible until the bill arrives
6
Data privacy / compliance blind spots
Situational
High, fast, in health, finance or with EU users
Mostly, with a template — not if you handle sensitive data
7
Scalability architecture
Low pre-traction
Don't solve a problem you don't have yet
N/A — not worth fixing until you need it
8
Investor / acquisition readiness
Situational
Only matters if you're raising — then it matters fast
No — build it ahead of the ask, not during it
Each risk explained (and what "self-fixable" really means)
1. Exposed secrets and broken authentication
What goes wrong: API keys, database credentials or admin routes end up in client-side code, git history or default platform settings. This is the number-one way vibe-coded apps get hacked — or hit with a surprise five-figure bill from someone using your OpenAI or cloud key.
Why AI tools cause it: asked to "make the feature work", an AI assistant will happily put a key where the browser can read it, or leave database row-level security off because the demo works without it.
What you can do: rotate every key you suspect, move secrets to server-side environment variables, and check that your database denies access by default. What you can't easily do alone: know you found everything — old commits, forgotten preview deployments and unprotected API routes are where exposures hide.
2. No backups — the mistake with no undo
What goes wrong: one bad migration, a dropped table or a bug that overwrites data — and there's nothing to restore from. Switching backups on is easy. Knowing they restore is not: a backup you've never tested is a hope, not a plan. Do one test restore into a separate project and time it.
3. No monitoring — you find out from angry users
What goes wrong: the app goes down, a third-party API starts failing, or a bug ships, and the founder finds out hours later from a support email. This is the most self-fixable risk on the list — an uptime monitor plus an error tracker covers 80% of it — but alerts need to reach a phone someone actually looks at.
4. A fragile, undocumented codebase
What goes wrong: the AI wrote the code, and no one — including the founder — can confidently explain how half of it works. Every fix gets riskier over time, and the knowledge lives in old chat histories. It's rarely urgent on day one, but it blocks every next step: hiring your first engineer, raising a round, or handing the product to an agency.
5. Cost and performance landmines
What goes wrong: inefficient queries, no caching, or a generous free tier that turns into a real bill the moment usage grows 10x. AI-generated code commonly fetches whole tables when it needs one row, or calls a paid API inside a loop. Low likelihood today; check it before any launch, PR push or paid campaign.
6. Data privacy and compliance blind spots
What goes wrong: collecting emails, payment details or any personal data without a privacy policy, consent flow, or a basic sense of what GDPR or CCPA requires. For a generic SaaS, a template mostly covers it. In health, fintech or with EU users, the impact gets high very fast — and this is where we see founders underestimate exposure most often.
7. Scalability architecture
What goes wrong: the app is built the way vibe-coding tools default to, not how it needs to work at 100x today's traffic. Our advice: don't pay to solve this before you have traction. Revisit when traffic or infrastructure costs climb month over month.
8. Investor and acquisition readiness
What goes wrong: a term sheet or acquisition conversation suddenly requires technical answers nobody prepared — security posture, architecture, who owns the code, how data is handled. Technical due diligence is not something you can assemble in the week before it starts.
What to do in your situation
Find the row that sounds most like you. This is the fastest way to decide your next step.
Your situationWhat to do about itNon-technical founder, MVP built with Lovable, v0 or Replit, real users nowRun the free self-check, then a Risk Scan before telling anyone it's "production-ready".Technical co-founder used Cursor or Claude Code heavily and isn't sure what's in the codebase anymoreCodebase Handoff Docs — turn chat-history knowledge into something the team can rely on.A user reported a bug that looks like it exposed someone else's dataThat's not a scan anymore. That's emergency stabilisation — today.The app is about to process real payments for the first timeSecure Secrets & Auth first, a privacy/compliance screen right behind it.About to raise a pre-seed or seed roundRisk Scan now so there are no surprises in diligence; full investor readiness once the raise is real.About to hire the first engineerCodebase Handoff Docs — a new hire's first week goes very differently with or without them.Usage just jumped — a launch, a PR mention, a viral postCost & Query Sanity Check before the next invoice; Scale-Readiness if growth keeps climbing.Something broke in production and no one knows whyEmergency stabilisation — the point is not having to figure it out alone.You heard a vibe-coding horror story and want peace of mind, cheaplyA one-day Risk Scan exists for exactly this.
When it's worth bringing in help
The rule of thumb: do it yourself when the fix is a toggle; get help when the problem is "I don't know what I don't know". Here's how Gart's IT audit team packages that for small, AI-built products — each scoped in days, not months.
OfferWhat it solvesTimelineBest forFree Self-Check GuideThe six free fixes above as a checklistTodayEvery vibe-coded startup, day oneVibe Code Risk ScanAn evidence-based answer to "how much risk is hiding in here?" — exposure, backups, monitoring gaps1 day, remoteBefore you call it "production-ready" to an investor or hireSecure Secrets & Auth SprintFinds and fixes exposed keys, missing auth checks, insecure defaults1 dayAfter a scan flags it, or if you suspect exposureBackup & DR SetupTurns on and tests backups so "restore" is a real buttonHalf a dayIf you've never tested a restoreMonitoring & Alerting SetupUptime and error monitoring configured right the first timeHalf a dayTeams learning about outages from support emailsCodebase Handoff DocsA plain-language map of how the app works1 dayBefore your first engineering hire or a handoffCost & Query Sanity CheckCatches AI-generated queries and configs that get expensive at scaleHalf a dayBefore a launch, PR push or ad campaignCompliance/Privacy Quick ScreenWhether your data collection needs a policy, consent flow or moreHalf a dayPayments, health data or EU usersStartup Starter BundleRisk Scan + Secrets & Auth + Backup & DR, cheaper together2–3 days"Where do I even start?"Vibe Code Co-PilotA few hours a month of code review and questionsMonthlyTeams shipping fast with AI who want a second pair of eyesVibe Code RescuePriority crisis response when something is broken, breached or blocking a launch48–72 hoursProduction down, data possibly exposed, or a round blocked
The growth bridge: when you outgrow the 1–5 person stage
Once there's real traffic, a funded round or an acquisition conversation, the needs change. These engagements go deeper and are scoped individually:
Scale-Readiness Package — infrastructure, DevOps and cost review sized for real growth. Time for it when: traffic or infrastructure costs climb month over month.
Investor / Acquisition Readiness Package — codebase, security and documentation packaged for technical due diligence. Time for it when: a raise or acquisition is real and diligence is coming.
Full Compliance Audit & Consulting — SOC 2, GDPR, HIPAA, PCI DSS and more. Time for it when: you handle regulated data or enterprise customers ask for SOC 2.
Full Technical Audit — architecture, security, infrastructure and code quality end to end. Time for it when: the codebase has outgrown a lightweight review.
If reliability is becoming the bottleneck, our guide to software reliability is the natural next read.
Not sure how much risk is hiding in your app?
Start with the free checklist. When you want a clear, evidence-based answer, a one-day Vibe Code Risk Scan tells you exactly what's exposed and what to fix first.
Book a Risk Scan →
Download a Vide-Coded App Checklist
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Quick answer: A compliance audit framework is a structured method for assessing an organization against the regulations and standards that apply to it — such as SOC 2, ISO 27001, GDPR, HIPAA, PCI DSS, NIS2, or DORA — and turning the findings into a prioritized remediation plan. Gart Solutions' modular framework breaks the audit into 10 modules mapped to 5 pillars (Governance & Risk, Data Protection & Privacy, Security & Access Controls, Regulatory & Certification Readiness, Continuous Monitoring & Resilience), so you assess only what your target framework requires and get one unified report with a 30/60/90-day roadmap.
Most compliance audits fail in the same place: not at the auditor's desk, but months earlier, when the scope was set. A team preparing for SOC 2 runs a generic checklist, misses that its EU customers pull GDPR and NIS2 into scope, and discovers the gap during an enterprise security review. A fintech assesses its access controls perfectly and never looks at vendor contracts, then learns DORA cares about both.
A good compliance audit framework fixes this by making scope explicit and modular. Below is the exact framework our team uses for compliance audit engagements — the modules, the pillars they map to, which modules each certification needs, who delivers what, and the structure of the final report. You can download the full framework as a spreadsheet and use it to scope your own audit, internally or with us.
What is a compliance audit framework?
A compliance audit framework is the blueprint for how an audit is run: which areas get assessed, what evidence is reviewed, how each area is scored, and how findings are reported. It is different from a regulation or standard. ISO 27001 tells you what controls an information security management system needs; a compliance audit framework tells you how to check whether your organization actually has them, where it doesn't, and what to fix first.
In practice, the framework answers four questions every CTO, CISO, or compliance lead needs settled before an audit starts:
What applies to us? Which regulations and certifications are mandatory, contractually required, or simply expected by customers in our industry and geographies.
What do we assess? Which domains — governance, privacy, access, technical controls, vendors, resilience, evidence, training — are in scope for this audit.
How do we score it? A consistent maturity scale so findings are comparable across modules and over time.
What do we get at the end? A report with prioritized findings and a roadmap, not a pass/fail checklist.
The output of an audit run on this framework is what we call a Compliance Gap Assessment: an evidence-based, prioritized plan mapped to the actual controls of your target framework.
Why a modular compliance audit framework works better than a checklist
A single long checklist treats every company the same. A modular framework treats compliance as a set of building blocks that combine differently depending on your goal. That matters for three reasons.
Frameworks overlap heavily. SOC 2, ISO 27001, HIPAA, and PCI DSS share a large share of their underlying controls — typically 60–85% depending on the pair. Access management, encryption, logging, and incident response show up in almost all of them. Assessing those once, as modules, and mapping the evidence to every relevant framework avoids paying for the same work twice.
The cost of getting it wrong keeps rising. The global average cost of a data breach was $4.44 million in 2025, according to IBM's Cost of a Data Breach Report. Regulatory clocks are tight too: GDPR requires notifying the supervisory authority within 72 hours of becoming aware of a personal data breach (Article 33, GDPR), and NIS2 adds a 24-hour early-warning requirement for essential and important entities. An audit that skips incident readiness misses one of the most heavily penalized areas.
Scope can grow without restarting. A company that starts with a SOC 2 readiness audit can add the Data Protection & Privacy module later for GDPR, rather than commissioning a second, disconnected audit. The modules and scoring stay the same, so results stay comparable.
The 5 pillars of the compliance audit framework
Every module maps to a primary and a secondary pillar. The pillars are the lens the final report uses to tell leadership where the organization is strong and where it is exposed.
The 10 modules of a compliance audit
Each module has a defined focus, a concrete client deliverable, and a typical effort estimate. The effort figures below are Gart engineering days for a mid-sized organization; they scale with the number of systems, entities, and jurisdictions in scope.
ModuleWhat it assessesDeliverableEffort (days)1. Regulatory Scoping & Framework MappingWhich of ISO 27001, SOC 2, GDPR, NIS2, HIPAA/HITECH, PCI DSS, DORA, EU AI Act, and iGaming licensing (UKGC/MGA/Curaçao) apply; jurisdictional overlap and conflicts; certification vs. self-attestation.Regulatory applicability matrix with scope and priority ranking1.52. Governance, Risk & Policy ManagementRisk methodology and register, RACI, DPO/CISO mandate, completeness of InfoSec, Privacy, Acceptable Use, and Data Retention policies, board reporting cadence.Governance maturity report, policy gap list, risk register template23. Data Protection & PrivacyData mapping and RoPA, DPIAs/PIAs, consent and lawful basis, retention and deletion, cross-border transfers (SCCs, adequacy).Data flow map, privacy gap analysis, DPIA action plan1.54. Access Control & Identity ManagementIAM and least privilege, MFA coverage, privileged access, joiner/mover/leaver process, secrets and credential management.Access control assessment with prioritized hardening checklist1.55. Security Controls & Technical SafeguardsEncryption at rest and in transit, network segmentation, vulnerability and patch management, endpoint security, secure SDLC.Technical security posture report with remediation priorities16. Third-Party & Vendor Risk ManagementVendor due diligence, DPAs and subprocessor register, SOC 2/ISO report review cadence, concentration and fourth-party risk.Vendor risk register with tiering and reassessment schedule1.57. Business Continuity, Incident Response & DRIR plans and playbooks, breach-notification timelines (GDPR 72-hour, US state laws), BCP/DR plans, RTO/RPO, tabletop exercise cadence.Incident readiness report, notification-obligation matrix, DR gap analysis1.58. Audit Evidence, Monitoring & ReportingLogging and monitoring coverage for control evidence, internal control-testing cadence, KPI/KRI dashboards, audit trail retention.Evidence-readiness report with control-testing calendar1.59. Employee Awareness & TrainingOnboarding and annual training, phishing simulations, policy acknowledgment tracking, role-based training for engineering, finance, and support.Training maturity scorecard with improvement plan110. Certification & Attestation ReadinessControl-to-framework crosswalk (e.g., SOC 2 Trust Services Criteria, ISO 27001 Annex A), evidence readiness, mock-audit findings, auditor selection and timeline.Certification gap analysis, remediation roadmap, auditor-readiness checklist2The 10 modules of a compliance audit
Where audits most often find problems
Across engagements, three modules surface the most critical findings.
Access Control (Module 4) is first: stale accounts from incomplete offboarding, shared admin credentials, and MFA gaps on non-SSO tools. If that's where you suspect trouble, our guide on running user access reviews without spreadsheets is a practical starting point.
Audit Evidence (Module 8) is second: controls exist but nobody can prove they operated over the audit period — the most common reason behind a failed SOC 2 audit.
Vendor Risk (Module 6) is third, especially for EU financial entities, where DORA turns ICT third-party oversight into a regulatory requirement; see our ICT third-party risk guide.
Download Compliance Audit & Consulting Modular Framework
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Which modules do you need? Predefined compliance audit packages
Most organizations don't need all ten modules. The framework includes eight predefined packages that bundle the right modules for a specific goal. The durations below are typical for the full package; your scope may be shorter or longer.
PackageGoalModulesTypical durationGDPR & Data PrivacyAchieve and maintain GDPR / data-privacy readiness1, 3, 4, 7, 87.5 daysSOC 2 Readiness & CertificationPrepare for a SOC 2 Type I or Type II audit1, 2, 4, 5, 8, 109.5 daysISO 27001 Certification ReadinessClose the gap to ISO 27001 certification1, 2, 4, 5, 6, 8, 1011 daysHIPAA / HITECHMeet healthcare data-protection requirements1, 3, 4, 5, 7, 88.5 daysPCI DSSSecure cardholder data and meet payment-industry requirements1, 4, 5, 7, 87 daysVendor & Third-Party RiskReduce exposure from vendors and subprocessors1, 2, 6, 86.5 daysiGaming Regulatory ComplianceMeet UKGC / MGA / Curaçao licensing requirements1, 2, 3, 4, 5, 79 daysEnterprise Full Compliance Health CheckComprehensive evaluation across all compliance domains1–1015 days
Notice that Module 1 (Regulatory Scoping) appears in every package. That's deliberate: every audit starts by confirming what actually applies. The ISO 27001 package is the only certification package that includes Vendor Risk by default, because ISO/IEC 27001:2022 Annex A — 93 controls in total — includes explicit supplier-relationship controls. The SOC 2 package leans on Module 10 to crosswalk your controls against the AICPA's Trust Services Criteria. For framework-specific preparation, see our step-by-step guides to the SOC 2 audit, PCI DSS audit, and HIPAA audit.
Who does what: the three-party delivery model
Compliance sits at the intersection of law, engineering, and security testing, and no single firm is credible in all three. Every module and package in the framework names a primary owner and, where relevant, a supporting partner, so scope.
The lead shifts with the package. A GDPR or HIPAA engagement is legally led, with Gart handling technical data mapping and safeguards. SOC 2, ISO 27001, and PCI DSS are Gart-led, with the cybersecurity partner supplying penetration-test and technical evidence. The Enterprise Health Check engages all three in full.
How the compliance audit process works, step by step
Regardless of which package you choose, the audit follows the same sequence:
Scoping call and regulatory mapping. Confirm business model, geographies, data types, and customer requirements; produce the applicability matrix and agree the modules.
Evidence request. Policies, architecture diagrams, IAM exports, cloud configuration, vendor lists, IR and DR plans, training records.
Stakeholder interviews. Engineering, security, legal, HR, and finance owners — controls on paper are checked against how work actually happens.
Technical and legal analysis. Infrastructure and access review by Gart, contract and policy review by the legal partner, testing by the cybersecurity partner where in scope.
Scoring. Each module receives a maturity score and a status of Strong, Needs Improvement, or High Risk.
Report and roadmap walkthrough. Findings, prioritized remediation, and a 30/60/90-day plan, presented to technical and executive stakeholders.
Many teams pair the compliance audit with a broader IT audit when infrastructure cost, reliability, or architecture questions are also on the table.
How findings are scored
The Compliance Health Scorecard gives an overall audit score plus a maturity score for each assessed module. Every module lands in one of three statuses:
What's in a compliance audit report
The deliverable is one cohesive report, not ten disconnected module write-ups. It is built for two audiences at once: leadership, who need the risk picture and investment priorities, and engineering and compliance owners, who need specific, evidenced actions.
Report sectionWhat it includesExecutive SummaryOverall compliance health, key risks, critical findings, top recommendationsCompliance Health ScorecardOverall score plus maturity score and status per moduleAudit Scope, Objectives & MethodologyFrameworks, jurisdictions, systems covered; evidence reviewed, interviews, scoring approachRegulatory Landscape & ApplicabilityWhich frameworks apply, why, and how they overlap or conflictCompliance Maturity AssessmentStrengths, weaknesses, maturity level, and score for each moduleKey Findings & RisksEach finding with severity, evidence, legal/business impact, recommended actionDomain reviewsGovernance & Risk, Data Protection & Privacy, Security & Access, Vendor Risk, Incident Readiness & BCPPrioritized Remediation PlanActions grouped Critical / High / Medium / Low with expected impact30/60/90-Day Compliance RoadmapWhat to address immediately, next, and laterCertification & Attestation Readiness SummaryGap-to-certification status, auditor readiness, recommended timelineAppendixDetailed evidence, policy inventory, regulatory citations, scoring criteria
When do you need a compliance audit?
The framework lists twelve situations where a structured audit pays for itself. Each one points to a different question the audit is meant to answer.
TriggerWhat the audit helps identifyPreparing for SOC 2 or ISO 27001Control gaps, evidence readiness, audit-blocking issuesEntering a new regulated market or geographyWhich frameworks apply, jurisdictional conflicts, readiness gapsFundraising or investor due diligenceCompliance risks that could affect valuation or investor confidenceAfter a data breach or security incidentRoot cause, notification obligations, control failuresAn enterprise customer's security questionnaireWhether current controls satisfy customer and vendor requirementsExpanding into UKGC / MGA / Curaçao jurisdictionsLicensing-specific technical and governance requirementsBefore an M&A transactionCompliance liabilities, undisclosed gaps, remediation cost exposureNew regulation (NIS2, DORA, EU AI Act)Gap between current posture and new requirementsAnnual compliance or re-certification cycleDrift since the last audit and newly introduced gapsBoard or investor risk reviewBusiness-critical compliance risks and investment prioritiesHigh vendor or third-party exposureVendor compliance gaps, contract gaps, concentration riskNew CISO or DPOAn independent baseline of current posture and priorities
If the trigger is NIS2 specifically, our NIS2 readiness guide covers the directive's obligations in more depth.
Optional add-ons beyond the core audit
Some findings are best addressed with a focused sprint rather than a full remediation program. The framework offers seven add-ons: a Policy & Documentation Drafting Sprint, a DPIA workshop, an Incident Response Tabletop Exercise, an Employee Security & Compliance Training Program, a Vendor Risk Assessment Sprint, a Mock Audit / Pre-Certification Assessment, and a Compliance-as-a-Service retainer for continuous monitoring. The mock audit is the one we recommend most often before a first SOC 2 Type II or ISO 27001 Stage 2 audit — it is far cheaper to find an evidence gap in a rehearsal than in front of the certification body. Teams that want controls to stay audit-ready year-round usually combine the retainer with compliance automation tooling.
How to use the downloadable compliance audit template
The spreadsheet works whether you run the audit yourself or with an external team. Start with the Modules section and mark which of the ten apply, using the use-case table to sanity-check your reasoning. Then compare your selection with the closest predefined package — if you've picked modules 1, 2, 4, 5, 8, and 10, you've independently arrived at SOC 2 readiness. Use the effort column to estimate internal hours, and the report format section as the table of contents for your own findings document. If you get stuck on Module 1, that's normal: regulatory applicability is the step where most internal audits go wrong, and it's the one most worth an outside opinion.
Download Compliance Audit & Consulting Modular Framework
Compliance Audit Framework Gart SolutionsDownload
Know exactly where you stand — then fix it with the same team
Gart Solutions runs compliance audits on this framework for SaaS, fintech, healthcare, and iGaming companies across the EU and US. You get one Compliance Gap Assessment, and if the findings need engineering work, our Compliance Consulting team builds the controls directly in your infrastructure.
Compliance Audit
Modular, evidence-based assessment against SOC 2, ISO 27001, GDPR, HIPAA, PCI DSS, NIS2, DORA
Compliance Consulting
IAM, encryption, secrets, logging, and evidence automation, built in your cloud
Compliance-as-a-Service
Continuous monitoring so controls don't drift between audits
Book a free audit intro call →
Explore Compliance Consulting
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GDPR Compliance Checklist
ISO 27001 vs SOC 2: Access Controls Compared
Compliance as a Service: How It Works
Case Study: ISO 27001 Compliance for Spiral Technology
A technical (IT) audit is an independent, evidence-based review of your software systems: documentation, architecture, integrations, infrastructure, security, cloud cost, observability, CI/CD and code quality.
A good audit scores each area, maps every finding to the five Well-Architected pillars (Reliability, Security, Cost Optimization, Operational Excellence, Performance Efficiency), and ends with a prioritized 30/60/90-day roadmap.
Gart's modular framework splits the audit into 10 modules of 1–2 expert days each, so you pay only for the areas you need.
A focused package takes 2–9.5 days; a full-system health check takes 16 days.
Most companies only commission a technical audit when something has already gone wrong:
an investor asks awkward questions
the cloud bill doubles, or the third outage this quarter lands on a Friday night
By then the audit has to work as an emergency diagnosis instead of a planning tool.
Over years of auditing systems for fintech, healthcare and SaaS companies across Europe and North America, we kept seeing the same problem with the standard "full audit" offer: it is too big for teams that need one answer, and too vague for teams that need to act.
So we rebuilt our IT audit services as a modular framework. This article explains every part of it: what each module checks, which package fits which situation, what the final report looks like, and how to run a quick self-assessment before you talk to anyone.
You can also download the complete framework as a spreadsheet and use it as your own audit template.
Technical-Audit-Modular-Framework-Gart-Solutions_1Download
Key takeaways
A technical audit should be modular: scope it to a business goal (fundraising, migration, cost, compliance, AI), not to "everything".
Each of the 10 modules produces a concrete deliverable: a diagram, a scored report or a per-repository audit sheet.
Findings are mapped to the AWS and Azure Well-Architected pillars, so the results are comparable and familiar to cloud teams and investors.
The report ends with an IT Health Scorecard (Strong / Needs Improvement / High Risk) and a 30/60/90-day action roadmap.
The 14 most common triggers include due diligence, cloud migration, a CTO change, compliance certification, recurring outages and AI adoption.
What is a technical IT audit?
A technical IT audit (also called a technology audit, software audit or IT health check) is a structured assessment of how well your technology supports the business, now and over the next 12–24 months. Unlike a financial IT audit, which checks controls for accountants, a technical audit looks at the engineering itself: how the system is designed, built, deployed, run, secured and paid for.
A useful technical audit answers four questions:
Where are we? A verified picture of architecture, infrastructure, integrations and code, documented in diagrams rather than tribal knowledge.
What could hurt us? Risks ranked by severity and business impact: security gaps, single points of failure, key-person dependencies, hidden cloud costs.
How mature are we? A score per area, so you can compare teams, track progress and show investors evidence instead of opinions.
What do we do first? A prioritized roadmap with quick wins for the next 30 days and structural changes for the next quarter.
Technical audit vs. technical due diligence: due diligence is a technical audit scoped and timed for a transaction. It uses the same modules, but the findings are written for investors and acquirers, with an emphasis on valuation risk, scalability limits and required follow-on investment.
When do you need a technical audit? 14 common triggers
The right time for an audit is just before a decision that is expensive to reverse. These are the situations we see most often, and what the audit uncovers in each:
SituationWhat the audit helps identifyBefore an acquisition or investmentTechnical risks, hidden technical debt, scalability limitations, security gaps and likely technology investment needsBefore fundraising / investor due diligenceTechnical risks that could affect valuation, scalability, security or investor confidenceBefore entering a new marketWhether the platform can support new customers, geographies, integrations, security and regulatory requirementsAfter rapid business growthInfrastructure bottlenecks, architectural limits, technical debt, performance and scalability risksLegacy system modernizationOutdated architecture, dependencies, maintainability issues and modernization prioritiesCloud migration / transformationCloud readiness, infrastructure risks, architecture gaps, performance and cost optimization opportunitiesChanging an IT providerCurrent-state risks, undocumented systems, infrastructure quality, codebase health and delivery standardsPreparing for compliance / certificationGaps in security, data flows, infrastructure, access, monitoring and operational controlsBefore launching a critical productInfrastructure readiness, security, reliability, observability, deployment processes and scalabilityRecurring outages or technical problemsRoot causes of incidents, infrastructure weaknesses, architectural bottlenecks and observability gapsPreparing for AI adoptionAI readiness of infrastructure, architecture, data flows, integrations, codebase and security controlsPost-merger integrationTechnology overlaps, integration dependencies, architecture conflicts and consolidation opportunitiesNew CTO or technical leadershipAn independent baseline of the technology landscape, risks, technical debt and prioritiesBoard / management technology reviewBusiness-critical risks, investment priorities, scalability constraints and areas needing immediate actionWhen do you need a technical audit? 14 common triggers
The 10 modules of a technical audit
Each module is a self-contained assessment with a defined scope, a tangible deliverable and a fixed effort estimate. Together they cover the full software lifecycle, from how knowledge is documented to how code is written and shipped.
1. Documentation & Knowledge Management
1 day
Operational Excellence → Reliability, Security
Checks whether your technical documentation is accurate and useful for current and future teams, and how exposed you are if one person leaves.
What we check:
Architecture diagrams, code and API docs, business process maps (e.g. BPMN), wiki and onboarding materials, developer environment consistency, key-person dependency risks, version alignment and update frequency.
Deliverable:
Documentation assessment report with an update plan and standardization recommendations.
2. Architecture & System Design
2 days
Reliability → Performance Efficiency
Assesses whether the architecture can scale, stay modular and evolve without a rewrite.
What we check:
Service boundaries (documented with the C4 model or 4+1 view model), domain-driven design adoption, scalability and fault tolerance, database schemas and data flows, monolith-to-microservices migration strategy.
Deliverable:
Verified or newly created architecture diagrams, a modernization roadmap where relevant, and a risk assessment.
3. Data/Service Communication & Integration Mapping
1.5 days
Reliability → Operational Excellence, Performance Efficiency
Traces how services and data actually talk to each other, which is usually where cascading failures start.
What we check:
Sync and async flows (HTTPS/API calls, message brokers), third-party API dependencies, event-driven architecture, fault handling and retry patterns.
Deliverable:
Communication diagram with a bottleneck risk map and recommendations for reliability and isolation.
4. Infrastructure & Cloud Architecture
2 days
Reliability → Cost Optimization, Performance Efficiency
Analyzes how your cloud or on-premises infrastructure supports performance, cost efficiency and resilience.
What we check:
Infrastructure-as-Code coverage, networking and environment isolation, resource utilization on AWS and Azure (SKUs, response times), backup, disaster recovery and scaling strategy.
Deliverable:
Infrastructure health report with a modernization roadmap, migration plan where applicable, and cost optimization suggestions.
5. AI Readiness & Integration Potential
1.5 days
Performance Efficiency → Security, Operational Excellence
Evaluates whether your data, processes and architecture are ready for AI and LLM features, and where those features would create real value.
What we check:
AI use-case identification, compatibility with AI services (OpenAI, Azure AI, local inference), privacy and data governance, model compliance, and compute, storage and observability needs for AI components.
Deliverable:
AI Readiness Report: a maturity score across data, process and architecture, an integration roadmap, recommended tools and a responsible-AI risk and compliance checklist.
6. Security & Compliance Review
2 days
+ A partner for pen testing
Security → Operational Excellence, Reliability
Checks your systems against modern security practice and the regulatory requirements of your industry and region.
What we check:
Access control and identity management, secrets and sensitive-data handling, dependency scanning, network and data protection configuration, and exposure to the OWASP Top 10. Our cybersecurity partner can add penetration testing and vulnerability scanning.
Deliverable:
Security posture report with a prioritized action plan and a quick-win checklist.
7. Cloud Cost & Performance Optimization
1.5 days
Cost Optimization → Performance Efficiency, Reliability
Finds the inefficiencies and hidden costs that make cloud bills grow faster than revenue.
What we check:
Cloud spend analysis and forecasting, performance bottlenecks, resource utilization, and optimization opportunities in compute, storage, caching and network.
Deliverable:
Cost efficiency report with a savings breakdown and an ROI forecast for each recommended optimization.
8. Operational Readiness & Observability
1.5 days
Operational Excellence → Reliability, Performance Efficiency
Measures how quickly your team can detect, diagnose and recover from incidents.
What we check:
Logging, tracing and metrics coverage, alerting, SLO/SLA definitions, and consistency of monitoring tools and integrations.
Deliverable:
Operational readiness report with an observability gap analysis and a best-practice alignment roadmap.
9. Repository & Delivery Standards
1 day
Operational Excellence → Security, Reliability
Checks that teams ship code in a consistent, safe and repeatable way.
What we check:
Repository layout, branching strategy, CI/CD pipelines, versioning, tagging and release management, code review process and automation.
Deliverable:
Current-state analysis with a maturity score and improvement recommendations.
10. Codebase Quality & Maintainability
2 days
Operational Excellence → Reliability, Performance Efficiency
Evaluates how readable, testable and maintainable the code is, and where technical debt is concentrated.
What we check:
Coding standards, design patterns and SOLID adherence, technical-debt and legacy hotspots, unit test coverage and CI integration, and static analysis with tools such as SonarQube.
Deliverable:
Per-repository audit sheet with a code health assessment, refactoring strategy and modernization recommendations.
How audit findings map to the Well-Architected pillars
An audit is only useful if its findings can be compared over time and across teams. That is why every module maps to the five pillars shared by the Microsoft Azure Well-Architected Framework and the AWS Well-Architected Framework. AWS adds a sixth pillar, Sustainability, which we cover where it is relevant to cost and utilization.
PillarPrimary modulesAlso covered inReliability2 Architecture, 3 Integrations, 4 Infrastructure1, 6, 7, 8, 9, 10Security6 Security & Compliance1, 5, 9Cost Optimization7 Cloud Cost & Performance4Operational Excellence1 Documentation, 8 Observability, 9 Delivery, 10 Codebase3, 5, 6Performance Efficiency5 AI Readiness2, 3, 4, 7, 8, 10How audit findings map to the Well-Architected pillars
In practice, this means a CTO can hand the report to a cloud provider, an investor or an internal platform team, and everyone reads the same language.
Which package should you choose?
Raising a round or being acquired? Start with the Enterprise Full-System Health Check. Investors expect a view across every area.
Cloud bill growing faster than revenue? The Cost Reduction & Efficiency Audit pairs infrastructure, cost and observability so savings don't come at the expense of reliability.
Planning a migration or rewrite? Legacy Modernization & Migration Strategy covers architecture, integrations, infrastructure and code before you commit budget.
Heading into SOC 2, ISO 27001, GDPR, NIS2 or HIPAA work? The Compliance Readiness Audit adds the Security & Compliance module, with optional penetration testing.
Hiring fast or replacing a vendor? Team Transition & Growth Readiness is the smallest package and focuses on documentation and delivery standards.
Optional add-ons extend any package into implementation: a Developer Experience Workshop, a Cloud Cost Optimization Sprint, a Refactoring Strategy & Prioritization Session, CI/CD Pipeline Implementation Support, Security Hardening & Compliance, and Modernization Architecture Design for Azure or AWS.
What the technical audit report contains
All modules feed into one unified report, so findings from different areas are connected rather than delivered as separate documents. The report has 16 sections:
SectionWhat it includesExecutive SummaryOverall technology health, key risks, critical findings and top recommendationsIT Health ScorecardOverall score plus a maturity score per module, rated Strong / Needs Improvement / High RiskAudit Scope & ObjectivesSystems, infrastructure, repositories, environments, processes and business objectives coveredAudit MethodologyModules assessed, evidence reviewed, stakeholder interviews, technical analysis and scoring methodCurrent Technology LandscapeArchitecture, infrastructure, integrations, stack, environments and key dependenciesTechnical Maturity AssessmentStrengths, weaknesses, maturity level and score for each moduleKey Findings & RisksEach finding with severity, evidence, technical and business impact, and recommended actionArchitecture & Infrastructure ReviewArchitecture quality, scalability, reliability, cloud configuration, dependencies and bottlenecksSecurity & Compliance ReviewSecurity controls, access management, vulnerabilities, data protection and compliance gapsDevelopment & Codebase AssessmentCode quality, technical debt, repository standards, CI/CD, testing and development practicesOperations & ObservabilityMonitoring, logging, alerting, incident management, backup and disaster recoveryCost & Performance AssessmentCloud costs, utilization, performance bottlenecks and optimization opportunitiesPrioritized RecommendationsActions ranked Critical / High / Medium / Low with expected impact30/60/90-Day Action RoadmapWhat to fix immediately, next and laterTarget State & Long-Term RoadmapRecommended future architecture, operating model and transformation prioritiesAppendixTechnical evidence, diagrams, system inventory, scoring criteria and supporting documentsWhat the technical audit report contains
The 30/60/90-day roadmap
The roadmap turns findings into a sequence your team can actually execute:
How a technical audit runs, step by step
Intro call and scoping. We agree on the business goal, then pick a package or a custom set of modules.
Access and evidence collection. Read-only access to repositories, cloud accounts, CI/CD and monitoring tools, plus existing documentation.
Stakeholder interviews. Short sessions with engineering leads, DevOps and product owners to understand context that code alone doesn't show.
Technical analysis. Module-by-module review, static analysis, architecture and data-flow mapping, cost and utilization analysis.
Scoring. Each module receives a maturity score and a Strong / Needs Improvement / High Risk status; each finding is mapped to a Well-Architected pillar.
Report and walkthrough. We present the unified report and the 30/60/90-day roadmap to technical and business stakeholders.
Optional implementation. Add-ons such as a cost optimization sprint or CI/CD implementation, or your own team executes the roadmap.
IT audit checklist: a 10-minute self-assessment
Before commissioning an external audit, answer these questions honestly. Every "no" or "not sure" points to the module worth prioritizing.
Documentation: Could a new senior engineer set up a working environment and understand the architecture in under a week without asking one specific person?
Architecture: Do you have up-to-date architecture diagrams, and do you know which component fails first under 3× load?
Integrations: Do all external API calls have timeouts, retries and fallbacks? Is there a map of every service dependency?
Infrastructure: Is all production infrastructure defined as code? Has disaster recovery been tested in the last six months?
AI readiness: Is your data clean, accessible and governed well enough to feed an AI feature without legal risk?
Security: Are secrets kept out of repositories, access reviewed regularly and dependencies scanned automatically?
Cloud cost: Can you attribute cloud spend to products or teams, and forecast next quarter's bill?
Observability: Do you have defined SLOs, and do you learn about incidents from alerts rather than from customers?
Delivery: Do all teams use the same branching, review and release process, with automated CI/CD?
Codebase: Do you know your test coverage and your top five technical-debt hotspots?
If you answered "no" to three or more, a focused package is usually a better first step than a full audit: it answers the most urgent question quickly and costs a fraction of the price.
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