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The best Project Moonshot alternatives
The rest of Best AI Security Testing Tools, in this site's order: each with what it costs, where it runs and its record score.
It suits application teams that want to inspect LLM requests before they reach a provider, including for prompt injection, PII, or data leakage risks.
It is aimed at red teams, whitehat testers, pentesters, and AppSec or MLsec teams assessing LLM behavior.
It suits AI application teams, agent and MCP developers, security and compliance reviewers, learners, and red-teamers.
Promptfoo is for developers and enterprises building AI applications who need prompt evaluation or red-team testing.
It suits teams assessing conversational AI agents for safety and quality issues before production.
CyberSecEval suits people evaluating cybersecurity risks or defensive behavior in large language models.
It may suit teams that need API-based security scans for LLMs, RAG pipelines, or autonomous agents.
Augustus is intended for security professionals assessing LLM vulnerabilities.
It suits security researchers, AI developers, and academic users conducting authorized LLM assessments.
PyRIT suits teams assessing generative AI systems through structured red-team exercises, as well as developers building custom assessment workflows.
RedForge suits security teams and developers authorized to test LLM applications.
It is relevant to teams that want to validate agent behavior and track risks as systems change.
It suits individual builders, open-source projects, and teams shipping AI agents.
