Building software has never been faster. A founder with an idea, an AI coding assistant and a free weekend can now ship a working product with sign-ups, payments and a database behind it. No-code and low-code platforms have lowered the bar even further. The term “vibe coding” has entered the vocabulary for a reason.

What has not changed is that every one of those apps holds something worth protecting: email addresses, passwords, payment details, private messages, sometimes health or financial records. And the speed that makes modern buildings so appealing is exactly what makes security easy to skip.

So when does a small team actually need to worry? A Czech company called Penetrify, which sells automated penetration testing to startups and companies without a security team, has an answer that is more honest than most vendors would offer. Sometimes the answer is: not yet.

Why fast-built apps carry hidden risk

AI coding assistants are very good at producing code that works. They are less reliable at producing code that is safe when nobody asked them to think about it. The same is true of no-code platforms, whose default settings are designed to get a project running, not to lock it down.

Penetrify points to a few areas where it sees problems again and again in quickly built applications. Sign-up and login flows that skip steps such as email verification or proper session handling. Permission settings that let one user see another user’s data. And platform defaults in popular tools such as Supabase, Firebase and Bubble that are perfectly reasonable for a prototype and risky for a live product.

None of these are exotic. They are the ordinary result of moving quickly with tools that do not stop you. As Penetrify’s startup guidance puts it, the flaw that leaks data is usually a few lines someone added on a Friday.

The company’s own research backs up the pattern. In a dataset of more than 47,000 confirmed vulnerabilities across nearly 4,000 applications, broken access control, where one user can reach information that belongs to another, was the most common serious problem, appearing in 42% of applications tested.

The three moments a startup needs a penetration test

Here is where Penetrify departs from the usual security sales pitch. Its guide to penetration testing for startups names three triggers, and only three.

1. You handle data that would hurt someone if it leaked. Health information, financial details, identity documents, private messages. If your app stores any of these, the stakes are high from the first real user.

2. A customer or investor has asked for evidence. This is the most common trigger in practice. An enterprise prospect sends a security questionnaire and asks for a penetration test report. The deal may be worth more than the startup’s entire annual revenue, and suddenly the sales cycle has become a security project.

3. Nobody can describe every place permissions are enforced anymore. Early on, a founder knows the whole codebase. Once the product has grown past that point, no one can say with confidence that every door is locked.

If none of those apply, the company says, testing is premature. A pre-launch prototype with no real users does not need a penetration test, and the money is better spent getting to users. It is an unusual thing for a vendor to say, and it makes the rest of the advice easier to trust.

What a penetration test is, and why startups skip it

A penetration test is a controlled attempt to break into your own software before someone else does. Traditionally, that means hiring security specialists who spend a week or more working through the application and then deliver a report.

The problem for startups is the bill. Manual engagements are commonly quoted at $15,000 to $50,000. For a seed-stage company, as Penetrify notes, that is a hiring decision rather than a line item. It also covers the product only as it existed on the day of the test. Two engineers merging code every day will have changed it substantially within weeks.

There is an ownership problem too. In most small companies, security is the CTO’s job in theory and nobody’s job in practice. It gets attention when a customer asks, and not before.

How automated penetration testing changes the math

Penetrify replaces the human testing team with an AI agent. A user enters the application’s web address, and the system maps what is there and tests it the way an experienced tester would, including the areas behind a login when test accounts are provided. It works with any web stack, from React and Django to no-code platforms, and nothing has to be installed.

The result is a report listing each finding with a severity rating, steps to reproduce it and guidance on fixing it, written to be usable by a developer rather than to impress an auditor with page count. First results arrive in minutes.

Pricing is the main difference. Plans start at $100 a month, and a first scan costs $29, which the company credits toward a plan. For founders trying to work out what they would otherwise spend, the company offers a penetration testing cost calculator that compares a traditional testing schedule with continuous automated coverage.

Because the cost of each additional test is low, teams can run one after every significant release instead of once a year, which fits the way small teams actually ship.

What it does not replace

Penetrify is open about the limits. Its published comparisons acknowledge that experienced human testers still do better on complex business logic and novel lines of attack. Some enterprise contracts specifically require testing by a third-party human team, and no automated tool satisfies that requirement. For frameworks such as SOC 2, what counts as acceptable evidence is ultimately the auditor’s decision, and the company advises asking in writing before buying anything.

For most early-stage startups, though, the realistic alternative to automated testing is not a $30,000 consultancy engagement. It is no testing at all.

A practical checklist for founders

For builders wondering where they stand, the advice boils down to a short list:

• Know what data you hold. If it is sensitive, treat security as a launch requirement, not a later project.
• Check your platform defaults. Settings that were fine for a prototype may not be fine for production.
• Test before the questionnaire arrives. A security review in the middle of a sales cycle is the most expensive time to discover problems.
• Test after significant changes. New features, especially anything touching logins, permissions or payments, are when new problems appear.
• Fix what matters first. A good report tells you what is critical and what can wait.

Frequently asked questions

Does every startup need a penetration test? No. If you have no real users and hold no sensitive data, it is usually too early. It becomes necessary when you handle sensitive data, when a customer or investor asks for evidence, or when your product has grown beyond what anyone can fully keep in their head.

How much does a penetration test cost for a startup? Traditional manual tests are commonly quoted at $15,000 to $50,000. Automated penetration testing services such as Penetrify start at around $100 a month, with a first scan for $29.

Are apps built with AI coding tools less secure? Not inherently, but they are often shipped faster and reviewed less. Security steps that nobody asked for tend not to get built.

Can automated testing replace a human penetration tester? For routine and frequent testing, it covers a lot of ground. For complex logic or contracts that require a human tester, manual testing is still needed.

The takeaway

Shipping fast is a strength. Shipping without ever checking whether the product can be broken into is a risk that grows quietly with every new user. The good news for small teams is that finding out no longer requires a five-figure budget. It requires knowing when the question matters, and then actually asking it.

Penetrify was founded in 2024 by security engineer Viktor Bulanek and is based in Brno, Czech Republic.