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Automated AI security testing for agents, chatbots, and APIs. Find prompt injection, data leaks, and unsafe behavior before launch.

Code parcel is a platform to share code snippets, so it can help other developers.
Website, pricing, platforms and company facts side by side.
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| Website | promptbrake.com | codeparcel.com |
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| Company | Startup from the United States · 2026 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


An AI product can work in a demo and still expose sensitive data or follow malicious instructions. PromptBrake helps teams find these failures before customers do. Test AI agents, chatbots, and LLM-backed APIs with 138 automated checks across 18 attack categories. Run the self-hosted runner...
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What each product offers, as listed by its team.


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Validates your real AI release candidate before production
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As answered by people managing PromptBrake and Code Parcel.
PromptBrake's answer
PromptBrake uses Python and Flask, with SQLAlchemy for database access and Flask-Migrate/Alembic for migrations. SQLite is the default database.
The interface uses server-rendered Jinja2 templates, JavaScript, and CSS. Gunicorn serves the application, and Docker packages the deployment. Playwright supports browser-based chatbot testing.
The hosted portal integrates Firebase Authentication for identity and Stripe for subscription billing. The self-hosted runner executes security tests inside customer-controlled infrastructure.
PromptBrake's answer
Teams building and releasing AI products: agents, copilots, chatbots, RAG applications, and LLM-backed APIs.
Users include founders, AI product builders, engineering teams, security teams, and agencies delivering AI applications for clients. They need to test for prompt injection, data exposure, and unsafe behavior before launch and repeat those checks as their products change.
PromptBrake is especially relevant when teams want testing and evidence to remain inside their own infrastructure.
PromptBrake's answer
PromptBrake addresses a practical gap: an AI product can perform well in a demo yet still expose sensitive information or follow malicious instructions.
The goal is to make security testing a repeatable part of AI product releases. Teams can test their application, inspect evidence, fix failures, and rerun checks after changes.
That focus connects PromptBrake’s free planning resources with its self-hosted runner, findings, baseline comparisons, and CI release gates: helping teams make better-informed decisions before an AI release reaches customers.
PromptBrake's answer
PromptBrake brings automated AI security testing, evidence-backed findings, remediation guidance, baseline comparison, and CI release gates into one workflow.
Run 138 checks across 18 attack categories against your AI application using a self-hosted runner inside your infrastructure. Review failures, fix them, and retest before release.
The focus is practical: help teams turn security findings into release decisions while keeping prompts, credentials, responses, and test evidence in their own environment.
PromptBrake's answer
Choose PromptBrake for repeatable AI security testing with a maintained test suite, actionable findings, and a self-hosted deployment model.
It helps teams test before launch and after changes to prompts, models, or workflows. Evidence and remediation guidance support fixes, baseline comparison highlights regressions, and CI gates help enforce release criteria.
Evaluate it against your own application during the free trial: three scans over seven days. The paid plan is $499/month for 30 scans and one active runner license.
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