Raven is a tool designed to scan and identify vulnerabilities in AI system prompts, allowing users to test various prompts for weaknesses and strengths.
Why it matters
API Docs
API Available
overview
Raven is a prompt vulnerability scanning tool developed by Javeria Akram that enables users to identify and test weaknesses in AI system prompts. It provides capabilities to scan and identify vulnerabilities in AI system prompts, allowing users to test various prompts for weaknesses and strengths. The tool is accessible via a web interface and offers an API for programmatic integration.
features
Raven provides a focused set of features for prompt security and analysis, primarily centered around identifying potential vulnerabilities in AI system prompts. Its core functionality includes scanning capabilities and an accessible API for developers.
use cases
Raven is primarily designed for developers, security researchers, and AI practitioners who need to ensure the robustness and security of their AI applications by proactively identifying prompt-related vulnerabilities. Its utility extends to various roles involved in AI system development and deployment.
how to use
To begin using Raven, users can access the web interface at https://www.ravenprompt.tech/ to submit prompts for analysis. For programmatic integration, the provided API documentation outlines the necessary steps.
pricing
Raven operates on a freemium model, offering a free tier that provides access to its core prompt vulnerability scanning capabilities. Specific details regarding paid tiers or usage limits for the free tier are not publicly detailed beyond its 'free' designation.
Similar Tools
Raven occupies a niche in the AI security landscape, focusing specifically on prompt vulnerability scanning. It differentiates itself from broader ML testing platforms and more generalized LLM security toolkits by offering a dedicated, potentially simpler web-based interface for prompt analysis.
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While Raven is a dedicated prompt vulnerability scanner, LLM Guard is a Python library that requires integration into your application or testing environment, offering more granular control but a different workflow than a simple web tool.
An open-source CLI and library for testing and evaluating LLM prompts and models, allowing users to define and run various test cases, including adversarial ones, and compare outputs.
Unlike Raven's focus on automated vulnerability scanning, promptfoo is a testing framework where you define and run specific test cases, including those designed to expose vulnerabilities, which requires more manual test case creation and a CLI-based workflow.
An open-source platform for testing ML models, including LLMs, for security vulnerabilities, performance, and ethical issues, offering both a Python library and a UI for analysis.
Giskard is a broader ML testing platform that includes LLM security, providing a more extensive suite of tests and a UI for analysis compared to Raven's more focused prompt vulnerability scanning; it may require more setup than a simple web tool.
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