ScanMyLLMScanMyLLM
1 in 3 LLM applications have critical security vulnerabilities

Your LLM app is
leaking |

Get a free security scan that identifies vulnerabilities in your production LLM app and shows you exactly how to fix them—safe, non-invasive, and delivers a detailed report in 48 hours

Designed for AI-powered products, customer support apps, and B2B SaaS companies with custom LLM implementations

Verified domain testing onlyNo intrusive attacksProduction-safe
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Why This Matters

Most AI-powered apps have critical security gaps. We've found vulnerabilities in 70%+ of production LLM applications we've tested—including prompt injection exploits, data leaks, and exposed system prompts. These aren't theoretical risks. They're actively exploitable.

Is your application vulnerable?

If your application uses LLMs in any of the following ways, you may be at risk

AI Chatbots

Customer support bots, sales assistants, or any conversational AI that interacts with users directly.

Code Assistants

AI-powered development tools, code completion, or automated code review systems.

Document Processing

Apps that summarize, analyze, or extract information from documents using LLMs.

API Integrations

Applications that connect LLMs to databases, CRMs, or other backend systems via plugins or tools.

AI Agents

Autonomous agents that can browse the web, execute code, or perform actions on behalf of users.

RAG Applications

Retrieval-augmented generation apps that query internal knowledge bases or vector databases.

Higher Risk If...

  • Your LLM processes user-provided content (files, URLs, emails)
  • The LLM has access to sensitive data or internal systems
  • Users can influence prompts through any input field
  • LLM outputs are rendered as HTML or executed as code
  • You use third-party LLM APIs or fine-tuned models

You Need Testing If...

  • Your app is in production with real users
  • You handle customer data, PII, or financial information
  • You're in a regulated industry (healthcare, finance, legal)
  • Your system prompts contain proprietary business logic
  • You've never done an LLM-specific security assessment

The vulnerabilities hiding in your LLM app

Prompt Injection

What it is:

Users can manipulate your LLM app into ignoring its instructions and executing malicious commands

Real example:

"We tested a customer support LLM app and got it to ignore all safety guidelines with a single prompt. It then revealed internal pricing data meant only for sales teams."

What we test:

Direct injection attacks, role-play exploits, instruction override techniques

System Prompt Leakage

What it is:

Your proprietary prompts, instructions, and business logic can be extracted by attackers

Real example:

"In a recent test, we extracted the entire system prompt from an e-commerce LLM app in under 2 minutes. This revealed their architecture, data sources, and instruction sets—valuable IP handed to competitors."

What we test:

Prompt extraction methods, instruction disclosure vulnerabilities, configuration leaks

Sensitive Information Disclosure

What it is:

Your LLM accidentally reveals training data, PII, or confidential information in responses

Real example:

"A healthcare LLM app we tested leaked patient appointment details when asked specific follow-up questions. The data was in the training set but should never have been accessible."

What we test:

Data exfiltration attempts, PII leakage patterns, unauthorized information access

Improper Output Handling

What it is:

Unvalidated LLM responses can trigger XSS, code injection, or other downstream exploits

Real example:

"We discovered an LLM app that would output unescaped HTML, allowing attackers to inject malicious scripts visible to all users—a perfect vector for credential theft."

What we test:

Output sanitization gaps, injection vulnerabilities, unsafe response formatting

These are just 4 of the 40+ security tests we run. Your scan will reveal the complete picture—including OWASP LLM Top 10 vulnerabilities, AI-specific attack vectors, and production-ready mitigation recommendations.

View all OWASP LLM Top 10 vulnerabilities

Safe for your live application

Our scans use read-only techniques designed by security researchers. We won't crash your app, trigger rate limits, spam your logs, or impact real users. Every test is carefully crafted to identify vulnerabilities without causing disruption—the same methodology used by ethical security teams at major tech companies.

What makes it safe:

Read-only queries that mimic normal user behavior

Rate-limited requests that stay under typical API thresholds

No destructive actions or data modification attempts

Verified domain testing only (we don't test third-party integrations)

Full transparency: you'll see exactly what prompts we used in your report

Your comprehensive security report includes:

Detailed vulnerability assessment

Across 40+ test vectors

Severity ratings

Critical/High/Medium/Low for each finding

Specific exploit examples

Showing how each vulnerability works

Developer-friendly remediation

Step-by-step guidance to fix issues

OWASP LLM Top 10 scorecard

Complete compliance assessment

30-minute walkthrough call

Optional expert consultation

Reports delivered within 48 hours of domain verification

Ready to secure your LLM app?

Get your free security scan, discover vulnerabilities before attackers do, and learn how to fix them