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What is OneTrust AI Governance?

OneTrust AI Governance serves as an all-encompassing solution aimed at protecting investments in artificial intelligence by transforming potential AI-associated risks into practical controls, which empowers teams to govern effectively while retaining flexibility. This tool effectively connects the realms of enterprise governance and technical realities, facilitating organizations in the rapid deployment of AI technologies while addressing risks and fostering trust as these technologies evolve in practical settings. It aids teams in systematically organizing their AI frameworks and assessing risks through a centralized inventory that monitors models, datasets, agents, and vendors, while also clarifying ownership, lifecycle phases, and the relationships between different components. By leveraging international guidelines such as the EU AI Act, NIST, and ISO 42001, it streamlines the identification of AI risks and incorporates automated workflows for risk classification based on various use cases, systems, or components, complemented by aligned risk and control frameworks to ensure ongoing compliance. Furthermore, OneTrust improves the speed and efficiency of necessary approvals, attestations, scoping, evidence collection, and audit-ready reporting through tailored intake and approval workflows. This holistic approach guarantees that organizations can uphold a strong governance framework while quickly adapting to the continuously changing landscape of AI technologies, ultimately promoting innovation alongside responsibility.

What is ModelOp?

ModelOp is a leader in providing AI governance solutions that enable companies to safeguard their AI initiatives, including generative AI and Large Language Models (LLMs), while also encouraging innovation. As executives strive for the quick adoption of generative AI technologies, they face numerous hurdles such as financial costs, adherence to regulations, security risks, privacy concerns, ethical questions, and threats to their brand reputation. With various levels of government—global, federal, state, and local—moving swiftly to implement AI regulations and oversight, businesses must take immediate steps to comply with these developing standards intended to reduce risks associated with AI. Collaborating with specialists in AI governance can help organizations stay abreast of market trends, regulatory developments, current events, research, and insights that enable them to navigate the complexities of enterprise AI effectively. ModelOp Center not only enhances organizational security but also builds trust among all involved parties. By improving processes related to reporting, monitoring, and compliance throughout the organization, companies can cultivate a culture centered on responsible AI practices. In a rapidly changing environment, it is crucial for organizations to remain knowledgeable and compliant to achieve long-term success, while also being proactive in addressing any potential challenges that may arise.

Media

Media

Integrations Supported

Integrations Supported

Aidoc
Apache Kafka
Apache Spark
Azure Machine Learning
Docker
Google Kubernetes Engine (GKE)
IBM Db2
Jenkins
Jira
Nova RIS
OpenAI
Oracle Cloud Infrastructure
PostgreSQL
PyTorch
R-Studio
Red Hat OpenShift
SQL Server
Snowflake
Teradata VantageCloud
Zammad

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

OneTrust

Company Location

United States

Company Website

www.onetrust.com/solutions/ai-governance/

Company Facts

Organization Name

ModelOp

Company Location

United States

Company Website

www.modelop.com

Categories and Features

AI Governance

Not specified

Categories and Features

AI Governance

Not specified

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