AI Chatbot Security Testing Agent - Jailbreaks and Leaks

automation · $29.99

Your AI chatbot has attack surface. Most teams ship it untested.

The moment you deploy an AI assistant, it becomes a target. Jailbreaks. System-prompt extraction. Multi-turn escalation. Multilingual bypass. These aren't theoretical, OWASP classified them in the LLM Top 10 (2025) because they show up in production, repeatedly.

Manual testing doesn't cover this. A few jailbreak prompts and a shrug is not a security posture.

What this kit does

The chatbot red teaming workflow in n8n: a webhook into config and the jailbreak dataset, a loop that builds each request, calls the target chatbot and extracts the reply, a two-layer verdict pairing an Ollama judge agent with a leak-marker regex, then an aggregated OWASP-graded report

49 structured attack vectors. 16 categories. One automated scan.

The scanner fires the full Prompt Exploitation Registry at any chatbot endpoint you're authorized to test single-turn, multilingual (zh/ru/ar/es/hi), encoding-smuggled, multi-turn escalation chains then runs each response through a two-layer verdict engine: deterministic regex + LLM judge. Output: an A–F graded HTML report, OWASP-mapped, with per-finding remediation. Delivered to your inbox.

You supply the endpoint, system prompt, and schema. It handles the rest.

Report Sample From Here

Who it's for

Security engineers running pre-production AI audits. Pentesters with LLM scope. MSSPs who need a repeatable, deliverable-grade test. AI engineers who want structured evidence their bot handles adversarial input.

If you're not sure your chatbot would pass a jailbreak test - it probably wouldn't. This tells you exactly where it fails and what to fix.

7-day guarantee

If it doesn't work as described, or it isn't what you needed, contact us within 7 days of purchase and we'll refund you in full. If you'd rather have it working, say so and we'll help you get it running. Your call. Full terms.

Run your first scan in 5 minutes. Import. Configure. Fire.

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