PromptBrake

Unusually honest page: a before-and-after finding on its own test app, clear data flow, and pricing in the hero with caveats stated plainly.

Fix: Add one named customer or design-partner quote near the hero, since every proof point today comes from PromptBrake's own reference application.

Explicit local data boundaries, scan charges, and an honestly labeled internal retest make the security offer unusually concrete.

Fix: Publish a reproducible benchmark showing detected failures and false positives across several representative applications, beyond the internal reference application.

Exceptionally clear AI security testing tool with upfront pricing, a self-hosted Docker architecture diagram, and an honest sample finding from its own test app.

Fix: Add a named founder or company address to the footer to match the high transparency of the technical and pricing copy.

Specialized AI security testing with 138 automated checks, self-hosted runner for data privacy, and clear before and after evidence.

Fix: Add customer logos or case studies from AI companies to strengthen enterprise credibility and social proof.

The before-and-after 75 to 91 sample result, self-hosted data-flow explanation, and transparent scan pricing make a high-stakes claim unusually verifiable.

Fix: Add one named customer or independent tester quote beside the internal reference result to strengthen proof beyond your own test application.

Concrete and honest: sample findings with retest scores, a clear data-flow diagram, and pricing, though evidence comes only from its own test app.

Fix: Publish one anonymized customer finding or a case study, since every proof point currently comes from PromptBrake's own reference application.

Clear AI-security pitch backed by a real before/after fix demo, honest IBM-stat disclaimer and self-hosted data-flow diagram.

Fix: Add one named customer case study alongside the internal reference app to prove external traction.

Exceptionally concrete: 138 checks, 18 categories, a shown before/after retest and honest data-flow limits make this the most credible page here.

Fix: Show one named customer with measured results; every proof point right now is your own internal reference application.

Self-hosted Docker runner, 138 checks across 18 categories, and a real before-and-after retest screenshot make the value concrete and verifiable.

Fix: Add named customer logos or a short case study to match the already-strong technical evidence with social proof.