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LLM Top10 GPT

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Expert guidance on navigating LLM security risks.

Open in ChatGPT
Updated 2026-06-16

What is LLM Top10 GPT?

It supports developers and security teams by breaking down complex risks into understandable points for practical application.

The tool emphasizes accurate assessments to guide effective strategies in protecting language models from threats.

Prompts to try with LLM Top10 GPT

What are the top 10 security risks facing large language models today?
How can I defend my LLM application against prompt injection and jailbreak attempts?
Analyze the data leakage risks when fine-tuning an open-source LLM on proprietary data.
Recommend practical steps to secure LLM API endpoints and prevent unauthorized access.

What you can use LLM Top10 GPT for

Pre-deployment Security Audit

Review an LLM system for common vulnerabilities like model poisoning or adversarial inputs before going live.

Incident Response Planning

Receive targeted advice on handling a suspected data exfiltration or model misuse event in production.

Compliance & Policy Review

Evaluate current LLM usage policies against emerging AI safety standards and identify gaps.

How to use LLM Top10 GPT

  1. 1Open ChatGPT and search for 'LLM Top10 GPT' in the GPT store
  2. 2Select the GPT to start a new conversation
  3. 3Describe your LLM setup, use case, or specific security concern
  4. 4Ask for risk analysis, mitigation steps, or vulnerability explanations
  5. 5Review the output and ask follow-up questions for clarification

LLM Top10 GPT: pros & cons

Pros

  • +Clear, precise breakdowns of LLM security issues
  • +Actionable advice drawn from established knowledge
  • +Helps users proactively manage model safety
  • +Stays focused on practical risk reduction

Cons

  • Narrow scope limited to security topics
  • Requires a ChatGPT account to access
  • Provides general guidance rather than model-specific audits

How to access: LLM Top10 GPT runs inside ChatGPT — click Open in ChatGPT to start (a ChatGPT account is required). It's been used in 500+ conversations.

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Frequently asked questions

It analyzes LLM security risks, identifies vulnerabilities, and offers reliable advice to improve AI model safety.

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