Find LLM weaknesses before your customers do
Black-box scanning of any chat, RAG, or agent endpoint against the OWASP LLM Top 10 — with reproducible attacks and severity-scored findings.
What is LLM Security Scanner — OWASP LLM Top 10 Testing?
An LLM security scanner sends a curated battery of adversarial prompts to a deployed model endpoint and grades the responses against the OWASP LLM Top 10 (LLM01–LLM10). Threatstealth tests prompt injection, sensitive-data leakage, insecure output handling, model denial-of-service, supply-chain risk, and excessive agency — producing reproducible test cases with the exact prompt/response pair for every finding.
Why traditional AppSec misses LLM risks
- SAST and DAST cannot reason about prompt-injection chains
- Manual red-teaming doesn't scale to weekly model updates
- Most teams ship LLM features with no security baseline at all
- OWASP LLM Top 10 is the new acceptance bar — auditors are starting to ask
A four-step operational model
Add the target
Point Threatstealth at any HTTP endpoint with optional auth headers. Works for OpenAI-compatible, Anthropic, custom REST, and RAG/agent stacks.
- OpenAI-compatible
- Custom auth headers
- RAG / agent endpoints
Pick a test bundle
Quick (5 min smoke), Full (full LLM Top 10), Custom (your own prompt corpus).
- Quick / Full / Custom
- Configurable concurrency
- Idempotent re-runs
Review findings
Per-vector pass/fail with the exact request/response pair. Severity scored against OWASP LLM Top 10.
- Per-prompt evidence
- Severity score
- Re-run on fix
Block regressions
Schedule scans on every model deploy. Treat LLM security like CI.
- Scheduled scans
- Webhook on fail
- Diff vs prior run
Outcomes for security teams
Catch prompt injection early
Find the indirect-injection chains your team didn't think to test.
Prove LLM safety to auditors
Reproducible evidence per OWASP vector — exportable for SOC 2 and ISO 42001 readiness.
Stop shipping silent failures
Every model update gets an automated scan; regressions are surfaced before customers see them.
Direct answers
Do you need access to the model weights?+
No. Threatstealth tests the deployed endpoint as an attacker would — black-box only.
Does it support RAG / agent stacks?+
Yes. The scanner exercises tool-use chains and RAG retrieval boundaries to surface excessive-agency and indirect-injection issues.
Can it run in CI?+
Yes. Trigger scans via API on every model or prompt-template deploy; results are diffable against the prior baseline.
How are findings rated?+
Each finding is graded against the OWASP LLM Top 10 (LLM01–LLM10) with severity, evidence prompt, and the model's actual response.