What is an LLM vulnerability scanner?

An LLM vulnerability scanner sends batteries of adversarial probes — jailbreaks, prompt injections, PII extraction attempts, harmful-content requests — at a target LLM and grades the responses. The output is a vulnerability + optimization report with per-probe evidence, severity, and a prioritized fix list.

Which LLMs can I scan with FilterPrompt?

OpenAI, Anthropic, Google Gemini, Azure OpenAI, plus any OpenAI-compatible endpoint — Ollama, Groq, Mistral, Together AI, OpenRouter, Perplexity, Hugging Face, vLLM, or your own custom endpoint. Bring your own keys per tenant.

What kinds of vulnerabilities does FilterPrompt test for?

Jailbreaks (DAN, role hijack, translation smuggling), direct and indirect prompt injection, system-prompt extraction, harmful-content compliance, PII / secret leakage, bias & fairness, RAG poisoning, agent/tool abuse, output quality, and robustness — categories map to the OWASP LLM Top 10.

How are probes graded?

Each probe declares an evaluator: regex match, refusal-check, contains-check, or an AI judge (Gemini 3 Flash). Pass/fail comes with severity, category, the exact prompt sent, the model's full response, and the evaluator's reason — fully auditable.

How much does a scan cost?

1 credit per probe executed. New accounts get 1 welcome credit on signup. Pay-as-you-go credit packs after that — credits never expire. Connecting LLMs and creating tenants is free.

Agentic AI Security Platform for Autonomous AI Agents

Platform · 2026-07-12 · 8 min read · FilterPrompt Security Team

How an agentic AI security platform tests and protects autonomous AI agents — runtime protection, MCP scanning, and vulnerability management under one licence.

Why traditional LLM scanners aren't enough for agents

Agents call tools, chain steps, hold state, and consume external context. That means the attack surface is bigger than a single prompt — it's the whole trajectory. A production AI agent security platform must model tool-use, MCP servers, memory stores, and inter-agent messaging as first-class attack surfaces.

Capability checklist for an agentic AI security platform

Autonomous AI agent testing tool with multi-turn probes and trajectory scoring
MCP server scanner for tool poisoning and indirect prompt injection
Runtime AI agent protection platform with sub-50ms firewall latency
Agentic AI vulnerability management platform with continuous scans and CVE-style tickets
Evidence pack for ISO 42001, EU AI Act, and NIST AI RMF audits

Agentic AI Security Platform for Autonomous AI Agents

Why traditional LLM scanners aren't enough for agents

Capability checklist for an agentic AI security platform

Reference architecture

Related