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features
design
support

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Description

MIND is an AI-native data loss prevention and data security platform that protects sensitive information across traditional enterprise environments, GenAI applications, and autonomous AI agents. It continuously discovers and classifies sensitive data across SaaS platforms, endpoints, email, on-premises file shares, GenAI services, and agentic AI environments. MIND is designed to simplify DLP deployment by reducing the need for manually created regular expressions, extensive policy tuning, and professional services. Its Data Detection and Response capabilities analyze billions of signals in real time and enrich security incidents with contextual information to help distinguish meaningful risks from false positives. Automated remediation enables the platform to respond to identified risks without requiring security teams to manually investigate and resolve every event. Real-time loss prevention capabilities can stop sensitive data from leaving the organization or interact with users to remediate risky activity and reinforce security policies. MIND also provides AI DLP agents that apply autonomous capabilities to data security operations and help organizations protect information as AI adoption expands. Supported use cases include data discovery and classification, GenAI security, agentic AI protection, insider risk management, SaaS data protection, endpoint DLP, email DLP, on-premises DLP, and integrated identity and data security. By combining discovery, detection, response, prevention, and user coaching in one platform, MIND helps security teams operate a centralized data protection program across human and AI activity.

Description

Nutanix Enterprise AI makes it simple to deploy, operate, and develop enterprise AI applications through secure AI endpoints that utilize large language models and generative AI APIs. By streamlining the process of integrating GenAI, Nutanix enables organizations to unlock extraordinary productivity boosts, enhance revenue streams, and realize the full potential of generative AI. With user-friendly workflows, you can effectively monitor and manage AI endpoints, allowing you to tap into your organization's AI capabilities. The platform's point-and-click interface facilitates the effortless deployment of AI models and secure APIs, giving you the flexibility to select from Hugging Face, NVIDIA NIM, or your customized private models. You have the option to run enterprise AI securely, whether on-premises or in public cloud environments, all while utilizing your existing AI tools. The system also allows for straightforward management of access to your language models through role-based access controls and secure API tokens designed for developers and GenAI application owners. Additionally, with just a single click, you can generate URL-ready JSON code, making API testing quick and efficient. This comprehensive approach ensures that enterprises can fully leverage their AI investments and adapt to evolving technological landscapes seamlessly.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Azure Kubernetes Service (AKS) No 
Box Yes 
DDP Endpoint Security Suite Yes 
Gemini Yes 
Gemini 2.0 Flash Yes 
Gmail Yes 
Google AI Plus Yes 
HP Advance Yes 
Hitachi Content Intelligence Yes 
Intercom Yes 
Jira Yes 
Kubernetes No 
Microsoft Exchange Yes 
Microsoft Outlook Yes 
Microsoft Teams Yes 
Mistral Small No 
Notion Yes 
Nutanix Cloud Platform No 
Perplexity Yes 
Pixtral Large No 

Integrations

Azure Kubernetes Service (AKS) Yes 
Box No 
DDP Endpoint Security Suite No 
Gemini No 
Gemini 2.0 Flash No 
Gmail No 
Google AI Plus No 
HP Advance No 
Hitachi Content Intelligence No 
Intercom No 
Jira No 
Kubernetes Yes 
Microsoft Exchange No 
Microsoft Outlook No 
Microsoft Teams No 
Mistral Small Yes 
Notion No 
Nutanix Cloud Platform Yes 
Perplexity No 
Pixtral Large Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

MIND

Country

United States

Website

mind.io

Vendor Details

Company Name

Nutanix

Founded

2009

Country

United States

Website

www.nutanix.com/products/nutanix-enterprise-ai

Product Features

Data Discovery

Contextual Search No 
Data Classification No 
Data Matching No 
False Positives Reduction No 
Self Service Data Preparation No 
Sensitive Data Identification No 
Visual Analytics No 

Data Loss Prevention

Compliance Reporting No 
Incident Management No 
Policy Management No 
Sensitive Data Identification No 
Web Threat Management No 
Whitelisting / Blacklisting No 

Data Security

Alerts / Notifications No 
Antivirus/Malware Detection No 
At-Risk Analysis No 
Audits No 
Data Center Security No 
Data Classification No 
Data Discovery No 
Data Loss Prevention No 
Data Masking No 
Data-Centric Security No 
Database Security No 
Encryption No 
Identity / Access Management No 
Logging / Reporting No 
Mobile Data Security No 
Monitor Abnormalities No 
Policy Management No 
Secure Data Transport No 
Sensitive Data Compliance No 

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Alternatives

Alternatives

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