Answer 10 questions about your LLM application, each mapped to a category in the OWASP LLM Top 10, to see your risk score, band, and the specific gaps to fix.
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A few short notes from Jacob on securing an LLM app against the OWASP LLM Top 10 without a big AppSec team. No fluff, unsubscribe in one click. Reply anytime; it reaches him directly.
From Jacob Masse, founder of traztech. No spam, unsubscribe in one click.
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LLM Red Teaming
We adversarially test your LLM app and hand you a fix list.
Explore LLM Red Teaming →Our LLM red-teaming engagement probes your app for prompt injection, output-handling flaws, excessive agency, and data leakage, then hands you a prioritized fix list your engineers can act on.
About LLM red teaming Book a callIt is a community-driven list of the most critical security risks for applications built on large language models, covering issues such as prompt injection, sensitive information disclosure, improper output handling, excessive agency, and unbounded consumption. It is the standard starting point for LLM threat modeling.
Each question maps to one category in the OWASP LLM Top 10 and asks whether you have a control in place. The score is the share of controls you have, and the band reflects how much attack surface is currently unmitigated. Missing controls are returned as your specific gaps.
No. It is a self-assessment to help you understand where your LLM app is exposed before you invest in testing. A real LLM red-teaming engagement adversarially probes your app for these weaknesses and validates real impact.
Yes, it is free with no signup required. It exists to help you scope the risk in your AI product before deciding whether to bring in help.