PromptBrake is a paid AI security testing platform for live LLM endpoints, AI APIs, and chatbots. It runs repeatable adversarial scans for prompt injection, data leakage, unsafe tool behavior, output-control bypasses, memory exposure, retrieval injection, and launch-readiness failures, then reports PASS, WARN, and FAIL findings with evidence and remediation guidance.
PromptBrake is a paid AI security testing platform for teams that need repeatable adversarial scans of live LLM endpoints, AI APIs, and chatbots, with pricing published for Scout, Pro, and Enterprise plans starting at $49, $99, and $499 per month. It is best for teams that need answer-first, repeatable security evidence before releasing an LLM-powered API or chatbot. Instead of reviewing prompts in isolation, it tests the actual endpoint being shipped and checks whether the running system can leak instructions, expose context, misuse tools, bypass output rules, or regress after prompt, model, retrieval, or tool changes. That endpoint-first model is useful for product teams and security reviewers because the findings reflect the behavior customers or downstream applications would encounter, not just the intended design of a prompt template.
Public PromptBrake pages describe a Full profile with 13 tests and 60+ attack scenarios, hosted scans for fast validation, CI-ready workflows on Pro, and an Enterprise Docker runner for scans inside a customer's own infrastructure. The stated coverage areas include prompt injection, indirect injection, data exposure, unsafe tool or function-call behavior, structured-output escapes, output-control bypasses, memory exposure, retrieval injection, policy confusion, and chatbot launch-readiness failures. Results are framed as PASS, WARN, and FAIL findings with evidence logs and remediation guidance, which makes the product more decision-oriented than a generic prompt experiment or one-off red-team note.
Compared with manual AI red teaming, PromptBrake is positioned around faster regression coverage and release gating. A manual review can still find nuanced product-specific risks, but PromptBrake gives teams a repeatable scan set they can run before launch, after model swaps, after prompt updates, when retrieval sources change, or when tools and function calls are added. Compared with general prompt-testing tools, its differentiation is the AI security workflow: endpoint-based adversarial tests, PASS/WARN/FAIL evidence, remediation guidance, baseline diffing, CI gates, JSON artifacts, PDF reporting on Pro, and an optional self-hosted runner for privacy-sensitive teams.
The pricing structure makes Scout the lower-cost entry point for basic hosted validation, Pro the more complete option for teams that need CI gates, JSON/PDF reporting, dashboard-generated CI keys, scan triggers, policy gates, and Baseline Diff, and Enterprise the fit for organizations that need scans to run inside their own environment. Enterprise is especially relevant when prompts, credentials, and scan results should remain on a customer's machine, VM, or CI worker, with PromptBrake receiving only license validation and quota usage according to the listed plan details.
PromptBrake does not replace a full application penetration test, infrastructure review, authentication review, or broader authorization assessment. Its value is narrower and more focused: it helps founders, product managers, engineers, and security-conscious teams validate risky LLM behavior before customers interact with an AI feature and then keep checking that behavior as the system changes.
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PromptBrake tests the API endpoint the application already uses, rather than only testing a model provider or isolated prompt. This lets scans exercise prompts, tools, retrieval, auth path, and response handling together.
The website lists 13 checks covering more than 60 ways AI endpoints can break. Coverage includes prompt injection, instruction leaks, context leaks, tool misuse, schema escape, memory exposure, retrieval injection, and chatbot launch checks.
Each flagged result includes a status, the strongest triggering prompt, the endpoint reply, sanitized evidence, remediation guidance, and a targeted re-test path. This gives teams concrete evidence for release decisions instead of a vague security score.
PromptBrake lists Replay Packs based on publicly reported LLM incidents, including Grok persona system prompt leaks dated 2025-08-18, DeepSeek R1 system prompt exposure dated 2025-01-24, and Slack AI data exfiltration via prompt injection dated 2024-08-21. These packs help teams test whether similar attack patterns affect their own endpoint.
Enterprise customers can run the PromptBrake Docker runner on their own machine, VM, or CI worker. The site states that prompts, credentials, and scan results stay in the customer environment, with PromptBrake receiving license validation and quota usage only.
$49/month
$99/month
$499/month after trial for private runner scans
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