LLM vulnerability scanner

LLM Vulnerability Scanner for Agents and RAG

An LLM vulnerability scanner focuses on the application boundary around the model: prompts, tools, memory, retrieval, output handling, and trust decisions.

Where it fits

  • Testing a RAG app where external documents can steer the assistant.
  • Reviewing an AI agent that can call tools with business impact.
  • Comparing OpenAI, Anthropic, Gemini, and self-hosted model behavior under the same attack suite.

Operational steps

  • Describe the app surface, model provider, tool list, and sensitive data categories.
  • Run vulnerability packs for prompt injection, leakage, jailbreak, unsafe tool calls, and retrieval poisoning.
  • Review high-severity findings first, then retest after prompt, policy, and authorization changes.
  • Store results as a release artifact so future model or prompt changes can be compared.

Common risks

  • A model refuses an unsafe request in isolation but accepts it after tool output is injected.
  • A memory feature stores secrets or private internal instructions.
  • A self-hosted model behaves differently from the hosted model used in the original security review.

How PromptGuard Scan fits the workflow

PromptGuard Scan provides model-agnostic vulnerability scans with consistent scoring, remediation guidance, and release-gate outputs for security and engineering teams.

Ready to test a real AI surface?

Pricing

Team annual is selected by default.

Annual billing is 50% off. All plans use Polar checkout and keep the product page open.

Dev

For solo builders validating one product before launch.

$25/mo
$294 billed yearly. Save 50%.
5 apps500 scans
  • Prompt injection scans
  • Jailbreak template checks
  • PII and key leak detection
  • HTML risk report
  • Email support

Enterprise

For platform teams, private deployments, and audit-heavy AI systems.

$250/mo
$2,994 billed yearly. Save 50%.
Unlimited appsUnlimited scans
  • Everything in Team
  • Private deployment path
  • Custom test packs
  • Compliance evidence exports
  • Priority security review support

Security playbooks

Practical guides for LLM app security decisions.

Related AI workflow reference

Teams comparing workflow plans with launch and market assumptions can also review MiroFish AI Simulator, a companion reference for simulation-style product reasoning.