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Advisory · The Last Mile

Security Scan, Platform Config, Live URL — For AI-Generated Apps.

You didn't fail at deployment. Deployment failed you.

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EXHIBIT A — SCAN REPORTSANITIZED
Row-Level Security: enforced across all 14 tables
Secrets: no credentials detected in committed files
CVE Dependencies: 0 critical, 0 high (NVDB 2026-07-22)
Auth Configuration: JWT expiry 30m, CORS restricted, session rotation enabled
License Compliance: MIT, Apache 2.0 — no viral licenses detected

Illustrative of the checks ZipLoom runs on every deploy. Your results are your own — we report what we find, including when it isn't clean.

The platform you're using was built for an era when a human engineer reviewed every line before it pushed to production. It has no concept of an AI that writes syntactically perfect code with a missing security declaration, a wildcard access policy, or credentials the AI forgot to protect.

80% of AI-built apps never reach production. Not because the code was wrong. Because “it works on my screen” and “it's live and safe” are two completely different jobs. ZipLoom does the second one.

30-day full refund Deployed apps stay live if you cancel 6 platforms, no lock-in
Finding 01 · Self-application

We Didn't Just Build The Check. We Passed It Ourselves.

Every table in ZipLoom runs with row-level security enforced.
Every stored credential is AES-256-GCM encrypted at rest, decrypted only at deploy time.
Every sign-in requires TOTP two-factor authentication.
Every sensitive action writes to an immutable audit log.

These are the exact checks whose absence caused CVE-2025-48757, the Moltbook breach, and the Replit database deletion. We run them on ourselves before we run them on you.

Sample findings receipt from a ZipLoom self-scan
Trust recovery matrix comparing response to a caught issue
Finding 02 · Evidence, sourced

AI Made Writing Code 10x Faster. Shipping It Safely Is Still Stuck In 2019.

92%
use AI coding tools daily
29%
trust what they produce

The trust gap isn't a vibe. It's a body count.

Chart showing 92% AI tool adoption versus 29% trust in output
DATA LEAK
FINDING 2.1CVE-2025-48757

170+ live applications left with publicly readable databases. Row-level security was never switched on. Every user's data was readable by anyone with the URL.

Source: Veracode / TechRadar
CRITICAL VULN
FINDING 2.2Moltbook

An AI-built social network leaked 1.5 million authentication tokens and 35,000 email addresses. Same root cause — RLS never enabled.

Source: TechRadar / Autonoma
DB DELETED
FINDING 2.3Replit — Production Database Deletion

An AI agent with overly permissive credentials deleted a production database.

Source: Developer community reports, 2025

Two of those three are the same mistake. Not a clever exploit. A switch nobody flipped. ZipLoom checks for that switch before your app is reachable — along with exposed secrets, misconfigured auth, and vulnerable dependencies.

Log comparing apps that shipped versus stalled on localhost

“If I put this in front of real users tonight — would I be handing someone the keys to my database?”

The honest answer, for most solo builders shipping AI-generated code: you don't know.

The Argument

You Didn't Build This To Keep It On Localhost.

You used Claude, Cursor, v0, or Lovable to go from idea to working prototype faster than you thought possible. That part worked. Then you hit the part nobody warns you about.

You don't fully trust your own code. Not because you're careless. Because 92% of developers use AI tools daily but only 29% trust what they produce. The gap between those two numbers is where most apps stall — working, unshipped, sitting on localhost because shipping feels like more risk than staying still.

That feeling is not paranoia. It's pattern recognition.

AI-generated code fails basic security tests 45% of the time. The incidents are public. The root causes are documented. None of them were complex exploits. They were configurations the AI didn't set and the deployment platform didn't check.

And then there's the billing model.

Pick Vercel, Netlify, Railway, or Render. Search their forums for "unexpected bill." You'll find the same thread on every platform — a developer who thought they knew what they'd pay and a statement that arrived looking nothing like the estimate.

One Netlify user reported a single AI prompt consuming a month of credits. Vercel users have documented bills running 70% above sticker. Railway meters by the second.

ZipLoom is the last mile — not the whole mile.

We don't compete with Claude or Cursor on writing your code. ZipLoom picks up exactly where they stop: the working prototype that needs to become a live, secured, monitored app — without you learning DevOps to get there.

Point us at your repo. We run the security check your AI didn't. If we find something, you know before your users do. If we don't, your app ships.

Flat annual pricing. No meter. No usage charges.

And after it's live, here's what sets ZipLoom apart from every other platform:

SYNTHETIC MONITOR + AUTO-ROLLBACK

ZipLoom checks your production URL every 15 minutes. If your app goes down at any hour, the previous working deploy is restored automatically — before you even know it happened. You receive a notification explaining exactly what occurred and what was done. You wake up to "we handled it" not "your app was down."

No other deployment platform does this automatically. This is the feature that turns deployment from a risk into something that simply works.

Nothing about your code has to be perfect for this to work. It has to exist. We'll handle the part that decides whether it's safe to be real.

45%
of AI code fails basic security tests
170+
apps exposed by one missing check
1.5M
tokens leaked in a single breach
70%
over sticker — real reported bills
Appendix · Verify it yourself

Don't Take Our Word For It. Use It Right Now.

Point it at any public GitHub repository and a real scan runs, live, right here — license, committed secrets, dependency CVEs, CI token scope. No sign-up. No card. No demo data.

TRY:
Procedure

Zip. Loom. Live.

01
Zip
Your repo, or one from Discover — our search across 330M+ quality-scored repositories. Secrets encrypted before a single file is read.
02
Loom — every check, every deploy
RLS, secrets, CVE, license, auth configuration. The exact checks whose absence caused the incidents above. Blocking is automatic. Reporting is always honest.
03
Live
Framework detected. Platform configured. App deployed. From passing scan to live URL in under 90 seconds.
Diagram showing four stack components converging into one deployed application
Deploy pipeline diagram showing the security scan gate before deployment
Procedure, in full

Every Deploy Runs The Same Six Checks. In The Same Order. Before A Single User Sees It.

Security posture matrix summarizing all check categories
Securebefore anything deploys
Lockdown Check
Lockdown Check
Row-Level Security
The check whose absence caused CVE-2025-48757. Fires before build starts. Deploy stops if it fails.
Secrets Sweep
Secrets Detection
Every file. Every push. Looking for credentials your AI tool forgot to protect.
Vuln Radar
Vuln Radar
CVE Audit
Every dependency against the National Vulnerability Database. Critical and high severity flagged before build.
License Guard
License Compliance
No viral licenses in your dependency tree.
Auth Audit
Auth Audit
Auth Configuration
JWT expiry, CORS policy, session rotation. The class of misconfiguration behind the Moltbook breach.
Deployafter the scan clears
Stack Composer
Stack Composer
AI Composer
Point it at more than one repo and it composes them into a single deployable stack — the AI does the wiring, not just the writing.
Auto-Detect
Framework Auto-Detection
Next.js, React, Vue, Node.js, Python, Docker. Build command, output directory, env vars — inferred. Zero config required.
The Vault
Secrets Vault, AES-256-GCM
Env vars encrypted at rest. Decrypted only at deploy time. Never in logs. Never in build output.
Operateafter it goes live
Self-Healing Deploys
Self-Healing Deploys
Synthetic Monitor + Auto-Rollback
Checks every 15 minutes. Goes dark? Previous deploy restored automatically. You receive a notification. The app is already back.
Speed Watch
Performance Budget, Lighthouse CI
Every deploy triggers a full audit. Score drops in your dashboard before users notice.
Build Doctor
Build Doctor
AI Failure Diagnosis
Build fails? ZipLoom names the cause and gives you the fix. Plain English. Every time.
Debug Copilot
Debug Copilot
In-App Debug Agent
A conversational AI assistant inside your dashboard that already has the context of your project — ask it what broke, it already knows where to look.
Ownstructurally yours regardless
Agent Ops
Agent Ops
93 GitHub Tools
Your AI assistant reads repos, inspects PRs, reviews workflows, audits advisories — under your credentials, logged to your audit trail.
Exit Kit
Exit Kit
Self-Host Export
Dockerfile. docker-compose.yml. Terraform. .env.template. Leaving takes an afternoon — by design.
PR Guard
GitHub Actions Integration
The same scan that runs on deploy runs on every PR push. Blocks merges on critical findings.
Qualification

Built For A Specific Person. Probably You.

ZipLoom is for you if:
You used Claude, Cursor, v0, or Lovable to build something that works — and now you're staring at the gap between “works” and “live.”
You'd rather find out about a security hole from us than from your users.
You want to know your monthly cost before you commit, not after a surprise invoice.
You're not trying to become a DevOps engineer just to ship one app.
ZipLoom probably isn't, if:
You need a fully custom, hand-tuned infrastructure setup at enterprise scale.
You already have a mature DevOps team and a working CI/CD pipeline.
You want the cheapest option regardless of what it checks.
Deploys to: Vercel · Netlify · Railway · Render · Fly.io · Cloudflare Pages

Six platforms. One workflow. Your platform relationship stays yours. Standard Postgres. Portable Next.js. Export everything, leave any time.

Schedule of fees

One Flat Number. Never A Meter.

Free
$0
1 member
1 app
Solo
$20/mo
or $192/yr paid annually
1 member
5 apps
Guild
$40/mo
or $420/yr paid annually
5 members
12 apps
Studio
$70/mo
or $840/yr paid annually
10 members
20 apps
Business
$299/mo
or $2,988/yr paid annually
25 members
40 apps
Enterprise
Custom
Custom members
Custom apps
App Pack +5
Add 5 app installs to any plan. $3.00 per install per month.
$15/mo
App Pack +10
Add 10 app installs to any plan. $2.50 per install per month.
$25/mo
Scan Pack +50
Add 50 security scans. One-time — scans are consumable.
$15
Comparison

Every Platform In This Category Bills You By The Meter.

Chart contrasting metered billing spikes against a flat monthly line
Vercel
$20/seat/mo + usage
Usage overages have produced bills reported at 70% above sticker.
Netlify
flat fee + credit system
Credits drain from builds, bandwidth, functions, and AI usage simultaneously. One user reported a single AI prompt consuming a month of credits.
Railway
metered by the second
No spending cap by default. Pricing becomes unpredictable exactly when your project starts working.
Render
workspace fee + per-service
More predictable — until April 2026 reduced Hobby bandwidth from 100GB to 5GB.
ZipLoom
flat monthly, no meter
There is no meter. We cannot generate a surprise invoice. We have not built the machinery to do it. That's not restraint. It's architecture.

Sources: Vercel/Netlify/Railway/Render public pricing and community reports, 2026

When your app goes offline, ZipLoom doesn't send you an alert. It restores your previous working deploy — automatically, within seconds. Then it sends you a notification explaining what happened.

Every other platform tells you your app is down. ZipLoom tells you it's already back up. This is what “operated” means — not just deployed.

Appendix · Full disclosure

Engineered For People Who Read The Fine Print.

Agent Ops — 93 GitHub tools. Your AI has hands.
Every call runs under your credentials. Every call is logged to your audit trail.
Security on every deploy.
RLS enforcement, secrets detection, CVE audit, license compliance, auth configuration — running automatically before every deploy.
Flat monthly price. No meter.
One number, billed monthly. No metered functions, bandwidth, or AI usage overages. Pay annually on any plan for a discount.
Secrets Vault — AES-256-GCM.
Env vars encrypted at rest. Decrypted only at deploy time.
Synthetic Monitor + Auto-Rollback.
Production health checks every 15 minutes. Goes offline? Previous deploy restored automatically. Notification sent. You were never on the hook for it.
Staged / Canary Rollout. (The Weave tier and above)
1% → 10% → 50% → 100% with automatic error gates.
AI Failure Diagnosis.
Build fails → ZipLoom reads the log, names the cause, gives the fix.
Zero lock-in.
Dockerfile. Compose. Terraform IaC. Standard Postgres. Portable Next.js. Leaving takes an afternoon.
Agent Ops

Your AI Assistant Already Writes The Code. Now Give It Hands.

ZipLoom hosts 93 GitHub tools across 21 modules that Claude, Cursor, or any MCP client can call directly — reading repositories, inspecting pull requests, reviewing CI/CD workflow runs, auditing security advisories. Every call runs under your own GitHub credentials. Every call is logged to an audit trail you own.

ziploom/scan-action
- uses: ziploom/scan-action@v1
  with:
    fail-on: high
    warn-on: moderate
ZipLoom hallmark summary card

Your Prototype Doesn't Need To Be Perfect.

It needs to exist.

We'll handle the part that decides whether it's safe to be real.

Get Your Live URL
30-day full refund Deployed apps stay live if you cancel Payments by Stripe
Common questions

Free (1 app), then flat monthly plans from $20/month (Solo) up to $299/month (Business). No usage meters. No bandwidth charges. No AI overage fees. Pay annually on any plan for a discount.

Vercel, Netlify, Railway, Render, Fly.io, and Cloudflare Pages. Your platform account, your relationship — ZipLoom handles the configuration.

No. Repository contents are read into memory for scanning and discarded. Environment variables are stored with AES-256-GCM encryption, decrypted only at deploy time, never visible in logs.

Claude, Cursor, v0, Lovable, GitHub Copilot, ChatGPT. ZipLoom is the deployment layer after your AI tool has done its job.

30-day full refund. Zero questions. Zero forms. No retention flow. Every deployed app stays live and stays yours.

Free: 1 app. Solo: 5 apps. Guild: 15 apps. Studio: 30 apps. Business: 20 apps. Agency: 20 apps across 10 client workspaces. Agency Pro: 40 apps across 20 workspaces. Need more? App Packs add +5 installs ($15/mo) or +10 ($25/mo) to any plan.

Export everything in one click: Dockerfile, docker-compose.yml, Terraform IaC, .env.template. Standard Postgres. Portable Next.js. All deployed apps stay live on their platforms. Leaving takes an afternoon. We built the exit door in on purpose.

Still have a question? The fastest way to find out is to just try it.

Get Your Live URL