Product · Security and privacy

Know before you launch.

An AI builder can help an application work. Prodara helps a founder understand whether it is ready for strangers, paying users, private data, and production mistakes.

Prodara scans the application and the systems around it, turns technical signals into founder-readable risks, and gives the team a clear path to fix, assign, and retest what matters.

Find what can leak, break, or cost money—then fix what matters.

Join the Prodara waitlist Read the Nolote security approach

Prodara

Launch safety for AI-built applications

Built and operated by Nolote Inc. · San Diego, California

The gap after the prototype works

AI-assisted development has made it possible to build a useful application faster than ever. It has not removed the need to answer difficult launch questions:

Can one user read another user’s data?
Is a secret exposed in a browser bundle or repository?
Can someone bypass payment or keep access after cancellation?
Does an API trust an identifier supplied by the client?
Is a production database relying on missing or overly broad row-level security?
Are backups, monitoring, rate limits, file controls, and rollback ready?
Can the founder understand which issue blocks launch and which can wait?

Prodara is designed for that moment between “the demo works” and “real users can trust it.”

A launch decision, not a wall of alerts

The product starts with the founder’s business risk:

Data Exposure: Could users or visitors access information they should not see?
Secrets: Are credentials or sensitive keys exposed?
Payments: Can paid access be faked, retained incorrectly, or attached to the wrong customer?
Auth and API: Are identity, role, and ownership checks missing?
Dependencies: Are relevant vulnerable packages or unsafe update practices present?
Deployment: Are production and preview behavior, files, errors, and environment controls appropriate?
Readiness: Are backups, monitoring, rate limits, legal basics, and rollback understood?

Technical evidence is available for the developer. The first explanation is written for the person deciding whether to launch.

Start shallow. Go deeper after verification.

A public scanner can become an abuse tool if it probes any target without permission. Prodara treats authorization as part of the product.

A safe model includes:

01Anonymous URL: limited passive checks such as HTTPS, headers, public files, and shallow bundle signals.
02Account: save a limited report without unlocking sensitive probing.
03Verified domain: deeper public-route and deployment checks after ownership evidence.
04Connected repository: static code, dependency, secret, Supabase, Stripe, and file-level evidence.
05Explicit paid fix authorization: manual review or pull-request work within approved access.

No level permits exploit chains, private data dumping, aggressive fuzzing, or production changes without approval.

Built for the AI-assisted application stack

The initial product design focuses on a narrow, high-value stack:

Next.js and React applications.
Vercel or similar deployment.
GitHub repositories.
Supabase database, authentication, storage, and policies.
Stripe payments and subscriptions.

That focus is intentional. Deep, useful findings for a common AI-built SaaS stack are more valuable than shallow support for every framework.

What Prodara checks

Public application

HTTPS and certificate behavior.
Security headers.
Accidentally public environment or repository files.
Source maps and client-bundle secrets.
Public admin and API routes.
CORS behavior.
Backup archives and directory listings.
Framework and hosting signals.

Repository and secrets

Credentials and provider keys.
Environment-variable misuse.
Authentication and authorization patterns.
Client-supplied ownership identifiers.
Admin and payment routes.
Missing rate limits.
Verbose errors and sensitive logging.
Dependency manifests and lockfiles.

Raw secret values are not retained. Evidence is redacted, fingerprinted, and tied to a location the authorized team can fix.

Supabase

Whether exposed-schema tables have row-level security.
Grants and policies for anonymous and authenticated roles.
Ownership checks.
Storage-bucket access.
Functions and execution permissions.
Migration and backup readiness.
Accidental service or secret key exposure.

The founder-level question remains simple: can strangers access your users’ data?

Stripe

Secret-key exposure.
Webhook signature verification.
Correct raw-body handling.
Server-side paid entitlement.
Cancellation, update, and payment-failure behavior.
Idempotency and duplicate events.
Customer portal ownership.
Test keys in production.

The founder-level question: can someone fake payment, keep access, or reach another customer’s billing context?

Production readiness

Monitoring.
Backups and recovery.
Rate limits.
File-upload controls.
Environment separation.
Legal and support basics.
Migrations and rollback.
Error handling.
Deployment protection.

Some checks require evidence or integrations. Prodara says “unknown” rather than pretending it verified what it could not see.

From finding to fix

A useful finding includes:

A plain-language risk.
Severity and confidence.
Redacted evidence.
Affected file, route, table, policy, or configuration.
Why it matters to the business.
A fix prompt or step-by-step guidance.
An owner and due date.
Retest criteria.
History when the issue is fixed, accepted, or marked false positive.

Teams can invite a cofounder, developer, agency, adviser, or reviewer with the appropriate project role rather than sharing a full account.

AI that translates—not invents

Prodara can use AI to:

Rewrite technical findings in founder language.
Prioritize the next action.
Generate fix-ready prompts for an AI coding tool.
Summarize evidence.
Suggest clarification or manual review.
Help compare a retest with an earlier scan.

The underlying finding still needs evidence and deterministic validation where possible. AI does not invent a vulnerability, expose a secret, or claim an application is secure.

Progress should be visible

The north-star experience is a single session that moves the user from launch anxiety to a workable plan:

01Run a permitted scan.
02See the top launch blockers.
03Understand why they matter.
04Unlock or connect the evidence needed.
05Assign the work.
06Apply a fix or request help.
07Retest.
08See the score and history improve.

The score is a prioritization aid, not a security certification.

What Prodara is not

It is not a guarantee that an application is secure.
It is not automatically a penetration test.
It does not find every vulnerability.
It does not dump private data to prove exposure.
It does not make production changes without permission.
It does not overwhelm a founder with low-value dependency noise.
It does not replace secure engineering, expert review, monitoring, backups, or incident response.

Next step

A Nolote product

Prodara reflects Nolote’s security and AI principles: evidence without exposure, action over diagnosis, explicit authorization, and a clear boundary between model assistance and verified product truth.

Join the Prodara waitlist