Shopify Platinum Partner
Enterprise AI application assurance

Vibe-Coded Application Security Audit

Before an internal AI-built tool handles more users, sensitive data, or critical workflows, SDG establishes what is safe, what is fragile, and what has to change. You receive evidence, priorities, and a credible path to production—not a generic code scan.

Trusted by brands that define their categories

Apple
SKIMS
Netflix
Nike
Barnes & Noble
Mattel
Shopify
Glossier
lululemon
L’Oréal
LVMH
MoMA Design Store

A working demo is not a security boundary

AI coding tools optimize for visible progress. That is valuable during exploration, but the fastest path to a working interface can leave authorization enforced only in the browser, privileged database keys in application code, permissive APIs, unreviewed packages, weak tenant separation, missing audit trails, or administrative paths that were never threat-modeled.

The goal of an audit is not to punish the team that moved quickly. The prototype already did important work: it made the workflow concrete and proved that people want it. SDG preserves that learning while independently evaluating whether the implementation can carry the next level of business risk.

What SDG reviews

The scope follows the application rather than a fixed scanner checklist. We trace identity, data, actions, dependencies, environments, and operational ownership from the user interface to every connected system.

  • Authentication, session management, password and SSO flows, role design, resource-level authorization, tenant isolation, and administrative access.
  • Data classification, personal and regulated information, database policies, encryption, retention, deletion, logging, backups, and recovery.
  • Secrets, environment configuration, third-party packages, generated dependencies, software supply chain, API exposure, webhooks, and cloud permissions.
  • Input validation, output encoding, file handling, injection paths, error behavior, rate limits, abuse cases, AI prompts, tools, and agent permissions.
  • Architecture, performance, capacity, queues, transactions, concurrency, failure handling, tests, CI/CD, environments, monitoring, alerts, and incident readiness.
  • Repository history, documentation, licenses, service ownership, vendor dependencies, support expectations, and the practical ability to maintain the system.

The deliverable is a decision, not a vulnerability dump

Findings are ranked by exploitability, business impact, exposure, and remediation effort. Each material issue includes evidence, the affected path, the control that is missing, and a concrete recommendation. We separate launch blockers from near-term hardening and longer-term engineering debt so the team can act in the right order.

The audit ends with an architecture and ownership recommendation: keep and harden, refactor selected layers, replace a risky component, or rebuild around the validated workflow. If a rebuild is warranted, the existing product behavior becomes an executable specification instead of discarded effort.

  • Executive risk summary and go/no-go conditions for wider use.
  • Threat model, system and data-flow map, trust boundaries, and privileged actions.
  • Risk-ranked findings with evidence and implementation-ready remediation guidance.
  • Keep, refactor, replace, or rebuild recommendation by component.
  • Prioritized production roadmap with owners, sequence, dependencies, and verification criteria.

From audit to accountable production

SDG can stop after an independent assessment or remain accountable for the remediation. That may mean tightening database policies, rebuilding authorization, replacing a generated backend, introducing environments and CI/CD, writing representative tests, integrating enterprise identity, or re-architecting the application around explicit service boundaries.

The same team can then rehearse data migration and cutover, establish monitoring and runbooks, support the first production users, and transfer knowledge to the internal owner. Explore our broader enterprise AI application development practice for the complete delivery model.

Frequently asked questions

What is a vibe-coded application security audit?

It is an independent review of an application built substantially with AI coding tools, covering security, architecture, data, dependencies, infrastructure, testing, operations, and ownership—not only automated vulnerability scanning.

Do you need access to the source code?

Usually, yes. A credible assessment needs the repository, deployment and environment configuration, data model, integrations, access model, and representative workflows. SDG can define a secure access process during scoping.

Will the audit tell us whether to rebuild?

Yes. The final recommendation identifies what can remain, what should be refactored or replaced, and whether a targeted or complete rebuild is the safer economic decision.

Can SDG remediate the findings?

Yes. SDG can implement the hardening plan, rebuild selected layers, lead a complete productionization program, or validate remediation performed by another team.

Is this only for applications built by non-developers?

No. AI-assisted applications built by engineers can carry the same risks when speed, generated dependencies, agent permissions, or missing review outrun the development controls around them.

Does the audit cover AI features inside the application?

Yes, when present. We review model and tool permissions, prompt and output handling, grounding, data exposure, cost and abuse controls, evaluations, human approval, and failure behavior.

Start a project

Bring the application or workflow into focus.

Show us what exists today, who depends on it, and where the risk or friction sits. A senior SDG team will help define the right next move.