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CyberSecEval vs RedForge

CyberSecEval

meta-llama.github.io

RedForge

github.com

Side by side

FigureCyberSecEvalRedForge
Price fromFreeFree
Free planYesYes
Free trial——
Open sourceYes—
WebYes—
macOSYes—
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published11
Spec score · AI Security Testing Tools8.8 (#4)7.7 (#17)
LicenseCybersecurity evaluations and benchmarks in Purple Llama are licensed under MIT, while included Llama safeguard models use separate Llama Community licenses.The project is released under the Apache 2.0 license, and the README says probe payloads are released under CC0.
Model providersThe getting-started guide lists API support for OpenAI, Anyscale, and Together, and describes how to add custom provider support for self-hosted models.It lists adapters for OpenAI, Anthropic, Google Gemini, AWS Bedrock, Azure OpenAI, Mistral, Ollama, HuggingFace, and generic REST endpoints.
PurposeCyberSecEval 4 is a benchmark suite for assessing cybersecurity vulnerabilities and defensive capabilities in large language models.RedForge is an LLM security testing platform for red teaming and vulnerability scanning.

Plans

CyberSecEval

  • CyberSecEval 4Free

CyberSecEval pricing →

RedForge

  • RedForgeFree

RedForge pricing →

In their own words

CyberSecEval

CyberSecEval 4 is a benchmark suite for assessing cybersecurity vulnerabilities and defensive capabilities in large language models. Its tests measure model responses to cyberattack requests and whether borderline benign requests are incorrectly refused. Secure-code checks look for insecure suggestions in both instruction and autocomplete settings. Prompt-injection tests cover textual, multilingual textual, and visual attacks; a judge LLM evaluates whether injected instructions succeeded. The code-interpreter benchmark evaluates compliance with malicious prompts and sorts judged responses into three categories: extremely malicious, potentially malicious, or non-malicious. AutoPatchBench measures patch-generation agents on fuzzed C and C++ vulnerabilities, while CyberSOCEval, developed with CrowdStrike, covers malware analysis and threat-intelligence reasoning. The guide lists API support for OpenAI, Anyscale, and Together, and explains adding custom providers for self-hosted models. Setup uses a Python virtual environment, installed requirements, and a Python command-line module. The suite is free under the MIT license for research and commercial use. AutoPatch needs substantial resources: the page recommends at least 80 CPUs and 8 TB of storage.

Visit meta-llama.github.io

RedForge

RedForge is a free, open-source LLM security testing platform for red teaming and vulnerability scanning. It runs on Linux, through an API and as self-hosted software. The project lists more than 49 probes, full OWASP LLM Top 10 coverage and YAML probe additions without Python. Attack modules include PAIR, Crescendo multi-turn escalation, Skeleton Key, many-shot jailbreaking and GCG adversarial suffixes. Its mutation engine expands two payloads into 37 variants using encoding, Unicode, cognitive reframing and structural injection strategies. Provider adapters cover OpenAI, Anthropic, Google Gemini, AWS Bedrock, Azure OpenAI, Mistral, Ollama, HuggingFace and generic REST endpoints. Ollama runs locally without an API key. Scans create JSON, JSONL audit and failures reports, with HTML, Markdown and SARIF also available. Compliance reports cover NIST AI RMF, EU AI Act, ISO/IEC 42001, GDPR and OWASP LLM Top 10. RedForge is Apache 2.0 software for authorized use.

Visit github.com