Test your AI API endpoints for prompt injection, data leaks, and unsafe behavior with 60+ attack scenarios in minutes.
PromptBrake is a hosted LLM API security testing platform that runs 60+ real attack prompts across 12 security checks against your live AI endpoints. It tests for prompt injection, jailbreak overrides, data leaks, unsafe tool behavior, memory exposure, and output bypass attempts. Scans complete in 3-8 minutes and return clear PASS/WARN/FAIL results with evidence and remediation guidance. Built for engineering teams shipping AI features who need a repeatable security baseline without waiting for a full pentest.
PromptBrake tests LLM-powered API endpoints across 13 security categories: direct prompt injection, indirect injection, jailbreak-style overrides, data leakage, tool misuse, memory and context exposure, and encoded output bypass attempts. The full profile includes 60+ real attack scenarios.
Most scans complete in 3 to 8 minutes, depending on your endpoint's response time and the test profile you choose. The Lite profile (6 tests) is faster; the Full profile (13 tests, 60+ scenarios) takes slightly longer.
No. API keys are used only in memory during the scan and are never stored. Scan data is not sent to another AI model for analysis. Evidence is saved only for tests that fail.
Yes. Pro trial and paid Pro accounts can generate CI API keys and set up automated security scans in GitHub Actions, GitLab CI, or any pipeline tool. You can enforce release gates that block deployments when critical failures are detected.
Scout Trial offers a Lite profile with 6 core security tests for basic validation. Pro Trial gives you the Full profile with all 13 test categories, 60+ attack scenarios, detailed reports, and CI/CD integration.
No. PromptBrake is endpoint-focused testing, not a full application pentest. It covers the most common LLM attack vectors quickly and repeatably, but it sits between a manual pentest and a research framework. Many teams use it alongside broader security practices.
PromptBrake works with any LLM-powered API endpoint, including those built on OpenAI, Claude, Gemini, and custom models. It tests the endpoint you actually ship, not the underlying model directly.
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