Penetration testing for startups: how to choose a provider

Penetration testing for startups comes down to one choice: what the test must do for you. A startup usually needs a pentest for one of three jobs: to answer a customer's security review, to give an auditor evidence, or to find real flaws before a launch. The right provider differs for each. This page uses only fields from the PentestCompare dataset, checked on 9 November 2026. It does not rank providers.

What should a startup look for in a pentest provider?#

Look at six things in order: scope, delivery type, price visibility, turnaround, retesting and evidence you can show. Scope comes first because a test that skips your API or your mobile app does not answer the question you bought it for. Delivery type comes next because it decides who finds the flaws and who checks them.

The dataset records each of these fields for all 15 providers. It marks gaps as "Not published" or "unknown". A gap does not mean the provider lacks the thing. It means the pages we read did not say.

Which providers fit which startup need?#

The table groups providers by what their own pages emphasize. Fit is a reading of the dataset fields, not a recommendation. Each provider's profile has the sources.

The last row uses the dataset's "ai_apps" scope field. Providers marked "unknown" may still test AI applications.

What are the tradeoffs between automated and human-led testing?#

Automated providers publish more prices and report faster. Human-led providers publish fewer prices and, in Secure Ideas' case, start weeks after contract. Cobalt's annual tiers list starts within 1 to 3 business days. The delivery types also differ in who checks findings: HackerOne says human pentesters review every agent finding in its agentic product, while TurboPentest's page does not say humans validate findings.

For most startups the tradeoff is between speed and cost on one side and judgment on the other. Business logic and authorization flaws depend on context about your product. See the AI vs human guide for how providers describe this.

What does a startup pay?#

Published prices in the dataset start at $99 for an automated test and reach $27,120 for a 14-day team test. Human-led annual platform tiers have no published price. The cost guide has the full table with units. Do not compare amounts before you compare units and scope.

A small budget limits the choice, but price is the weakest signal of quality in this data, because no price here comes with evidence about findings.

What evidence should you ask for before buying?#

Ask every shortlisted provider for the same items, in writing:

1. A sample report. Public in the dataset for Aikido, Parameter, Secure Ideas, TurboPentest and Excession Labs. On request at Cobalt and BreachLock. Not published for the other eight providers. Aikido's public samples cover network, mobile and AI tests, not web or API. The sample for Excession Labs is built on an invented app, not a customer report.
2. A scope statement naming apps, APIs, roles, environments and what is excluded.
3. Retest terms: how many, how long, and the price after. Cobalt's pricing page states its retest window two different ways, so ask which applies.
4. Tester information: who tests, who reviews findings, and which credentials apply. Credentials listed in the dataset are claims from the vendor's pages.
5. A letter or summary you can send a customer, if a customer asks for one.

If a customer or auditor sets the requirement, ask them what they accept first. The SOC 2 providers guide covers audit evidence. The questions guide goes deeper on the team and the report.

How should a startup run the comparison?#

Write one scope summary with the scoping checklist. Send it to three providers of different delivery types. Compare the replies on scope covered, retest terms, sample report and total price in one currency. Then pick the one whose evidence answers your actual job.