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Description
Developing responsible AI is fundamentally a business challenge rather than merely a technological one. To tackle this comprehensive issue, we unite teams on a single platform that helps to lessen risks, maximize your capabilities, and transform aspirations into tangible outcomes. By integrating every phase of your AI/ML journey with our cloud-based governance tools, GovernML serves as the essential launchpad for fostering effective AI/ML systems. Our platform offers intuitive workflows that meticulously document your entire AI journey in one consolidated location. This approach not only aids in risk management but also positively impacts your financial performance. Monitaur enhances this experience by providing cloud-based governance applications that monitor your AI/ML models from their initial policies to tangible evidence of their effectiveness. Our SOC 2 Type II certification further strengthens your AI governance while offering customized solutions within a single, cohesive platform. With GovernML, you can be assured of embracing responsible AI/ML systems, all while benefiting from scalable and user-friendly workflows that capture the complete lifecycle of your AI initiatives on one platform. This integration fosters collaboration and innovation across your organization, driving success in your AI endeavors.
Description
Transparency, choice and control are key to trust. Organizations have the opportunity to leverage these moments to build trust, and provide more valuable experiences. People expect greater control over their data. We offer privacy and data governance automation to help organizations better understand and comply with regulatory requirements. We also operationalize risk mitigation to ensure transparency and choice for individuals. Your organization will be able to achieve data privacy compliance quicker and build trust. Our platform helps to break down silos between processes, workflows, teams, and people to operationalize regulatory compliance. It also allows for trusted data use. Building proactive privacy programs that are rooted in global best practice and not just reacting to individual regulations is possible. To drive mitigation and risk-based decision-making, gain visibility into unknown risks. Respect individual choice and integrate privacy and security by default in the data lifecycle.
API Access
Has API
API Access
Has API
Integrations
Adobe Experience Manager
BMC AMI Data for Db2
Beamy
BitSight
Cincom Eloquence
Collibra
CrowdStrike Falcon
DataCommander
DataGuidance
Dataguise
Integrations
Adobe Experience Manager
BMC AMI Data for Db2
Beamy
BitSight
Cincom Eloquence
Collibra
CrowdStrike Falcon
DataCommander
DataGuidance
Dataguise
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Monitaur
Founded
2019
Country
United States
Website
www.monitaur.ai/
Vendor Details
Company Name
OneTrust
Founded
2016
Country
United States
Website
www.onetrust.com/solutions/privacy-automation/
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Product Features
AI Governance
Whether you're procuring AI solutions from vendors or creating them internally, AI Governance enables informed, risk-aware decision-making. Oversee AI initiatives, monitor both proprietary and open-source models, manage training datasets, and enhance visibility into your organization's AI activities and development through structured intake processes, project management integrations, and AI/ML analysis. Build trust throughout the processes of AI onboarding, development, and deployment. Simplify decision-making across compliance, risk management, and technology teams to ensure adherence to international regulations, standards, and company policies. Achieve all of this within a secure, unified platform. Identify and mitigate shadow AI and any deviations from the intended use of AI. Foster collaboration among AI governance committees and various stakeholders. Manage and oversee AI/ML technologies from a centralized program command center.
Consent Management Platforms
Additional Users / Permissions
Automatic Cookie-Blocking
CCPA Compliance
CMS Integration
Cookie Crawling
Design/Branding Customization
Fingerprinting
GDPR Compliance
IAB Compliance
Reporting / Analytics
Responsive Design
Subdomains Compatibility
Tag Manager Integration
Whitelabel Solution
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Data Privacy Management
Access Control
CCPA Compliance
Consent Management
Data Mapping
GDPR Compliance
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification
GDPR Compliance
Access Control
Consent Management
Data Mapping
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification