AI Governance Tools
Best AI Governance Tools include:
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(1-15 of 15)
IBM Cloud Pak for Data (formerly IBM Cloud Private for Data) provides data management, data governance, and automated data discovery and classification.
Copyleaks offers AI-based text analysis, dedicated to cultivating secure environments that encourage the sharing of ideas and empower authenticity. Copyleaks' suite of products to identify potential plagiarism and AI-generated content, provide full transparency around responsible…
Vertex AI on Google Cloud is an MLOps solution, used to build, deploy, and scale machine learning (ML) models with fully managed ML tools for any use case.
Amazon SageMaker enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.
Microsoft's Azure Machine Learning is and end-to-end data science and analytics solution that helps professional data scientists to prepare data, develop experiments, and deploy models in the cloud. It replaces the Azure Machine Learning Workbench.
A solution to streamline the provisioning and deployment of systems and AI applications at the edge with NVIDIA Fleet Command. It is a managed platform for container orchestration used to simplify the management of distributed computing environments with the scale and resiliency…
The Domino Enterprise MLOps Platform helps data science teams improve the speed, quality and impact of data science at scale. Domino is presented as open and flexible, to empower professional data scientists to use their preferred tools and infrastructure. Data science models get…
Qlik Staige is an AI governance solution, designed to enable customers to innovate and move faster by making secure and governed AI part of everything they can do with Qlik – from experimenting with and implementing generative AI models to developing AI-powered predictions.
An Application Platform for Large Language Models — a platform crafted to bridge the gap between LLMs and enterprise applications that includes tools and frameworks that helps developers and architects to craft precise, efficient interactions with LLMs. Users can design prompt templates,…
Azure AI Content Safety is a content moderation platform that uses AI to keep organizational content safe. It is used to create safer online experiences with AI models that detect offensive or inappropriate content in text and images.
A comprehensive and modular AI governance platform that changes how AI is adopted and used within an organization. It offers a single dashboard for risk posture management, role-based reporting, and automated workflows, so teams in an organization can more safely create, operate,…
Credo AI empowers organizations to deliver compliant and auditable AI. Credo AI will provide continuous views of risks and alerts.
Datatron is an MLOps platform that helps businesses deploy, catalog, manage, monitor, & govern ML models in production (on-prem, in any cloud, or integrated feature-by-feature via our API). Datatron is vendor, library, and framework agnostic and supports models built on any stack,…
The more AI is embedded into daily workflows, the more proactive governance is required to drive responsible, ethical decisions across the business. Watsonx.governance is used to direct, manage, and monitor an organization’s AI activities, and employs software automation to strengthen…
Monitaur, Inc. is an AI governance software company that offers the Monitaur ML Assurance platform: a SaaS suite of integrated products designed for companies using AI to make high-impact decisions. Global organizations can use Monitaur to drive policies, collaboration, oversight,…
Learn More About AI Governance Tools
What are AI Governance Tools?
AI governance tools are designed to ensure responsible and ethical use of artificial intelligence (AI), particularly generative AI, within organizations. These tools aim to enable organizations to effectively manage and mitigate risks associated with implementing generative AI, ensure regulatory compliance, and maintain ethical standards. They are typically used by various departments within an organization, including data science teams, risk management groups, legal teams, and executives involved in decision-making processes.
The primary goal of AI governance tools is to help organizations achieve transparency, accountability, and fairness in their AI systems. They assist in identifying and addressing risks and biases in generative AI models, ensuring privacy and data protection, and assessing and managing the potential risks and impacts of AI deployments. By implementing AI governance tools, organizations can foster trust in their AI systems, maintain legal compliance, and ultimately protect their reputation.
AI governance tools are closely related to data governance and compliance software, as they address similar concerns in the context of AI. However, AI governance tools specifically focus on unique challenges and risks associated with AI systems, including algorithmic bias, interpretability of results, model explainability and transparency, and decision-making accountability.
AI Governance Tools Features
Most AI governance tools have the following features:
- AI Model Inventory
- AI Model Assessment
- AI Model Monitoring
- AI Model Auditing
- Risk Identification and Mitigation
- Compliance Management
- Transparency and Explainability Tools
- AI Governance Workflow Automation
AI Governance Tools Comparison
When choosing an AI governance solution, keep the following important factors in mind:
Integration Capabilities: Make sure you choose a solution that works with the existing AI infrastructure and tools within your organization. If you’re using an enterprise AI platform already, check and see if they offer their own AI governance product or features.
Vendor Support and Trust: Generative AI is a rapidly evolving space, with many new products entering the market. If you’re going to depend on AI governance tools for critical business needs, make sure you thoroughly vet the products you use to make sure the vendor is trustworthy and stable.
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Pricing Information
Vendors of AI governance tools do not typically disclose pricing. Some vendors offer free trials or demos of their product. For detailed pricing information, contact a vendor.