Best AI Governance Tools for GitHub

Dataiku provides a powerful AI platform that helps organizations harness the potential of data science and machine learning by enabling teams to collaborate on AI-driven projects. With a flexible user interface that supports both no-code and code-based workflows, Dataiku allows users to streamline data preparation, build models using AutoML, and deploy solutions across diverse environments. The platform supports advanced capabilities like generative AI and AI governance, making it suitable for enterprises seeking scalable and secure AI solutions across various business functions.

Akitra is a software organization located in the United States that was started in 2017 and provides software named Akitra Andromeda. Akitra Andromeda provides 24/7 live support and online support. Akitra Andromeda is a type of AI governance software. Akitra Andromeda includes training through documentation, live online, webinars, and videos. Akitra Andromeda is offered as SaaS software.

ModelOp is a leading AI governance tool that helps enterprises safeguard AI initiatives including generative AI and Large Language Models. It also protects in-house vendors, third-party vendors and embedded systems without stifling the innovation. Corporate boards and C suites demand the rapid adoption of generative AI, but face financial risks, regulatory, privacy, security, and ethical issues. Governments at all levels, including federal, state and local, are implementing AI regulations and overseeing the industry quickly. This forces enterprises to prepare and comply with rules that prevent AI from going awry. Connect with AI Governance specialists to stay informed on market trends, regulations and news. You can also get insights and opinions from experts. ModelOp Center helps organizations stay safe and provides peace of mind for all stakeholders. Streamline reporting and compliance across the enterprise.

Acuvity provides the most comprehensive AI governance and security platform for your employees and apps. DevSecOps allows developers to focus on AI Innovation while DevSecOps implements AI Security without code changes. Pluggable AI security ensures complete coverage without outdated libraries or inadequate coverage. By utilizing GPUs only to run LLM models, you can reduce costs. Full visibility of all GenAI models and apps, plugins and services that are being used and explored by your teams. Granular observability of all GenAI interactions, with comprehensive logging. AI usage in enterprises needs a specialized framework that can address new AI risks and comply with emerging AI regulation. Employees can use AI with confidence, without exposing confidential information. Legal wants to make sure that AI-generated content is free of copyright or regulatory issues.