Prompt Security

Prompt Security is a specialized cybersecurity platform designed to help organizations manage the unique risks associated with generative AI and large language models (LLMs). As businesses increasingly integrate LLMs into their workflows and applications, they face new vectors of vulnerability, such as prompt injection, data leaks, and compliance issues. This platform addresses these challenges by offering tools to identify, analyze, and secure vulnerabilities within LLM-based applications. It serves developers, security teams, and enterprise administrators who need to ensure that their AI deployments remain safe and compliant with industry standards. By monitoring interactions and system integrations, the tool provides visibility into potential threats, helping teams proactively defend their infrastructure before exploits can occur. Ultimately, it bridges the gap between rapid AI adoption and robust enterprise security, allowing organizations to leverage generative AI technologies with greater confidence and reduced operational risk.

Key Features

  • Live developer prompt injection detection
  • Real-time secure code leakage protection
  • Open-source AI vulnerabilities testing tools
  • Custom agent safety governance managers
  • Automated malicious output text filtering

Use Cases

Use Case 1: Securing AI Coding Environments

Problem: Software teams risk leaking proprietary source code and sensitive API keys into third-party AI coding environments.
Solution: The scanner monitors developers' system prompts to prevent credentials and core IP from leaving the local machine.
Example: A compliance manager blocks an accidental upload of a secured database key into an AI coding workspace.

Use Case 2: Red-Teaming Enterprise Custom Models

Problem: Enterprises deploy customer-facing chat bots that can be easily manipulated to leak internal records via prompt injections.
Solution: Automated vulnerability assessment systems check deployed models to flag security flaws and toxic output triggers.
Example: A security engineer fuzz-tests a new customer support chatbot to prevent system prompt extraction attacks.

Target audience: Best for: Chief Information Security Officers, DevSecOps teams, Compliance managers

Pricing: Open Source · Categories: Developer Tools, Startup tools

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Tags: AI, developer tools, Generative AI

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