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Security review of an AI-built JavaScript or TypeScript app

AI tools write code that runs, not code that defends itself. A security review of an AI-built app checks the places they get wrong most often: authentication and session handling, secrets in the client, injection, authorization on every API route, and integrations that handle sensitive data. Then it adds the tests that keep those fixed.

03 · experts matched 40 cases across their profiles Contracted through Invental Request a review ↗
Lead match
Code review · Arch. review · Arch. design · Due diligence · Vibe-code rescue · Mentoring

AI-assisted development and JavaScript architecture lead

Best for: teams adopting AI coding agents who want quality to hold · JS/TS scale-ups with growing architecture debt · founders with an AI-built app that needs a senior review · corporate teams training engineers in TDD.

engineering leader and principal-level JavaScript / TypeScript architect · North America View profile →
Lead match · 01 engineering leader and principal-level JavaScript / TypeScript architect
— Also matched for this
senior engineering leader

Infrastructure and cloud-security engineering leader

Best for: scale-ups and e-commerce or fintech platforms facing PCI-DSS, edge-security or cloud-cost pressure; seed startups that need an infrastructure baseline before launch; investors who want an infrastructure and security read on a target..

Arch. review, Arch. design +2View profile →
 staff / lead-level full-stack engineer

AI-native staff engineer

Best for: solo founders and seed startups adopting AI coding tools; small SaaS teams preparing for SOC 2 / ISO 27001; teams migrating a Vue front end to Next.js; companies that want juniors coached by someone who teaches..

Code review, Arch. review +4View profile →

From the network

Selected cases from these experts’ profiles.

Security review of an AI-built web app

A founder built a Node.js / Next.js app with AI tools and is about to take payments or personal data. The expert reviews auth, session and secret handling, input validation, dependency risks and the comparisons and crypto calls agents often get subtly wrong.

You get

A ranked vulnerability list, fixes for the critical items and tests that keep them fixed.

Bookable · Audit · Vibe-code rescueNode.js, Next.js, TypeScript
AI-assisted development and JavaScript architecture lead →

Security review of sensitive integrations

A product that holds sensitive user assets or credentials keeps adding third-party integrations. The expert maps what each integration can touch, where secrets live and which paths bypass checks, then proposes the smallest set of boundaries that contain the risk.

You get

An integration risk map and prioritized fixes.

Bookable · Architecture review · Security reviewJavaScript / TypeScript, auth and cryptography libraries
AI-assisted development and JavaScript architecture lead →

API security pass against the OWASP API Top 10

A team is about to expose a new public or partner API. This engineer is trained on the OWASP API Security Top 10 and has worked on auth in production. They would walk the endpoints for broken object-level authorization, excessive data exposure and weak auth flows.

You get

A prioritized findings list attached to the PRs. A senior lead signs off where findings reach the architecture.

Bookable · PR/MR code review (security focus)Spring Boot or Node, JWT/OAuth
Fintech-backend reviewer (Java/Spring, event-driven payments) →

Edge drift audit: when incidents come from drift plus automation

Many modern incidents aren't one bad deploy. They come from drift plus automation: fragmented caches, generic rate limits that block real users, WAF exceptions that pile up, auth storms and scraping.

Review the edge, WAF, rate-limit and cache config against real traffic, find where drift has crept in, and propose guardrails so automation stops amplifying it.

You get

A ranked findings list with concrete config changes and a drift-prevention checklist.

Bookable · Audit · Architecture reviewCDN / edge, WAF, rate limiting, bot management, IaC
Infrastructure and cloud-security engineering leader →

Questions buyers ask

What security problems are common in AI-generated web apps?+
Missing authorization checks on API routes, secrets shipped to the browser, unvalidated input reaching the database, permissive CORS, and dependencies added without review. Most are quick to fix once found.
Do automated scanners replace a manual security review?+
No, they complement it. Scanners find known patterns and vulnerable dependencies; a reviewer finds logic flaws such as one user reading another user's data, which scanners rarely catch. For open-source scanning options, see our guide to open-source application security tools.
How do you stop AI coding agents from producing hallucinated or broken code?+
Write the tests first and make the agent satisfy them. Unit tests turn "looks right" into a pass or fail check, so invented functions, wrong edge cases and silent regressions show up right away. Add small, well-specified tasks and human review of the architecture, and agent output stays maintainable.

How it works

  1. Tell us what you need — the repo or system, the question, and the deadline.
  2. We match an expert from the network, with a second reviewer where it helps.
  3. Scoped work, contracted through Invental — review per pull request, a fixed-scope audit or architecture review, or ongoing capacity.

— Invental · software studio · Montevideo, UY

Tell us what needs a look.

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