AIRTaaS vs Project Moonshot

AIRTaaS is a web platform for continuous security testing and validation of agentic AI applications. Teams connect an AI agent or application, define policies and business rules, then launch red-team and guardrail validations. Tests can rerun when agents, prompts, or policies change, surfacing risks and regressions. Coverage includes prompt injection, jailbreaks, data leakage, hallucinations, bias, harmful outputs, agent chaining abuse, and tool, API, or policy violations. Results provide pass/fail outcomes, risk severity, and reports about attack scenarios, policy violations, and the threat landscape. The platform lists on-demand validations, secured reports, customer-shareable views, controlled sharing, and outcome assurance summaries. Progress tracking includes version history, risk trends, improvement tracking, regression detection, and maturity scoring. Marketplace resources include buyer trust signals, procurement and review support, and validation links or badges. AIRTaaS has a free plan at free and is made by Giggso, headquartered in Michigan, USA.

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.