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AIRTA Red Team vs Project Moonshot

AIRTA Red Team

airtasystems.com

Project Moonshot

aiverifyfoundation.sg

Side by side

FigureAIRTA Red TeamProject Moonshot
Price fromFreeFree
Free planYesYes
Free trial——
Open sourceYes—
WebYesYes
WindowsYesYes
macOSYesYes
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published21
Spec score · AI Security Testing Tools9.0 (#1)8.3 (#8)
IntegrationsThe tool can export assessment results to AIRTA Systems through its bulk import API for review and regression tracking.Users can configure connections to their LLMs and create custom connector endpoints through the Web UI or CLI guides.
Intended usersThe product page identifies red teams, whitehat testers and pentesters, and AppSec and MLsec teams as intended users.The maker describes Moonshot as a tool for AI developers, compliance teams, and AI system owners evaluating LLMs and LLM applications.
PurposeAIRTA Red Team runs authorized adversarial security assessments against LLMs and LLM-driven applications.Project Moonshot is an open-source toolkit for testing the safety and reliability of LLMs and LLM applications through benchmarking and red teaming.

Plans

AIRTA Red Team

  • AIRTA Red TeamFree
  • FreeFree

AIRTA Red Team pricing →

Project Moonshot

  • Project MoonshotFree

Project Moonshot pricing →

In their own words

AIRTA Red Team

AIRTA Red Team is a self-hosted tool for authorized adversarial security assessments of LLMs and LLM-driven applications. It builds test suites from security playbooks, discovers target components and authentication, runs attacks, assesses outcomes, and exports reports. Listed playbooks include OWASP LLM, OWASP Agent, MITRE ATLAS, jailbreak, system prompt exfiltration, and custom scenarios. Strategies include zero-shot, multi-shot, few-shot, iterative, multimodal, jailbreak, and chain-of-thought testing. Targets can be reached through a Playwright browser runner or direct HTTP API transports, including file uploads and tool calls. It can run locally in Docker, behind a firewall, in CI, or against external endpoints for authorized black-box assessments. Runs record prompts, uploads, responses, and tool calls in attack_log.json; pipeline_report.json summarizes categories and severity. Results can be exported to AIRTA Systems for review and regression tracking. The free plan has no license fee or subscription, but users must supply an LLM API key. Assessments focus on observable runtime behavior, not source-code static analysis. The repository says the tool is deprecated and no longer maintained.

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Project Moonshot

Project Moonshot is an open-source toolkit for evaluating the safety and reliability of large language models and applications. It runs benchmark tests using open-source datasets and metrics, and generates adversarial prompts to probe possible vulnerabilities and misuse. Users can build custom evaluations with their own datasets, optional prompt templates, metrics, and grading scales. Results appear in interactive HTML reports and downloadable raw JSON. Moonshot provides a Web UI, interactive command-line interface, library APIs, and Web APIs, with configurable connections to model providers including OpenAI, Anthropic, Together, and Hugging Face. Users can also create connectors for other models or applications hosted on custom servers. The toolkit implements benchmarks recommended in IMDA’s Starter Kit for safety testing LLM-based applications. Moonshot is free beta software under Apache License 2.0. Installation uses pip and requires Python 3.11; the Web UI additionally requires Node.js 20.11.1 LTS or later, and test assets are needed to run tests. The installation guide recommends Chrome for the Web UI and notes possible installation difficulties on x86 Macs with moonshot-data dependencies.

Visit aiverifyfoundation.sg