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  7. PromptSafe
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PromptSafe

Save your precious prompt from leaking with minimal cost.

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Introduction

Back

Information

  • Publisher
    AISecKit
  • Websitegithub.com
  • Published date2025/04/26

Categories

  • Model Backdoor Defense
  • AI Security Monitoring
  • Prompt Injection Defense

Tags

  • Prompt Injection
  • Model Robustness
  • Exploit Development

More Products

Security Auditing
  • Open Source
  • Incident Response
    • P
    Prompt Injection Defense
    Visit Website
    icon of prmptinj

    prmptinj

    Curated + custom prompt injections for AI models, focusing on security and exploit development.

    AI EthicsPrompt InjectionComplianceExploit DevelopmentVulnerability Disclosure
    P
    AI ModelsAI Security MonitoringPrompt Injection Defense
    Visit Website
    icon of prompt.fail

    prompt.fail

    Explore prompt injection techniques in large language models (LLMs), providing examples to improve LLM security and robustness.

    Prompt InjectionModel RobustnessComplianceRisk AssessmentSecurity Frameworks+1
    E
    Penetration TestingSecurity Training PlatformsAI Security Monitoring
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    icon of Exploiting AI

    Exploiting AI

    An introductory class on understanding AI security risks and mitigation strategies.

    Prompt InjectionGenerative AIRed Team TestingData Poisoning

    PromptSafe

    PromptSafe is a tool designed to protect your valuable prompts from leaking at minimal cost. It provides functionalities to generate prompt embeddings and test for potential attacks, ensuring that your prompts remain secure.

    Key Features:
    • Prompt Embedding Generation: Use embedding_save.py to create prompt embeddings, stored as embedding.npy.
    • Attack Testing: Utilize main.py to simulate attacks and assess the security of your prompts.
    • Future Enhancements: Stay tuned for an automated prompt injection toolkit to further enhance security.
    Benefits:
    • Cost-Effective: Protect your prompts without incurring significant expenses.
    • User-Friendly: Simple scripts to generate embeddings and test for vulnerabilities.
    • Open Source: Contribute to and benefit from community-driven development.
    Highlights:
    • GPL-3.0 License
    • Actively maintained with regular updates and community feedback.