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What is iDox.ai Guardrail?

iDox.ai Guardrail acts as an immediate protective layer for AI applications, aimed at preventing the exposure of sensitive data during generative AI activities. This cutting-edge solution operates at the endpoint level, intercepting user prompts, uploaded documents, and all forms of AI interactions before any data is sent from the user's device. Guardrail utilizes policy-based strategies to detect and block the unauthorized dissemination of sensitive information, such as personally identifiable information (PII), protected health information (PHI), payment card information (PCI), intellectual property, and various other confidential business details. Unlike traditional data loss prevention (DLP) systems, Guardrail is specifically designed for AI applications, constantly monitoring user interactions with platforms like ChatGPT, Microsoft Copilot, and Claude, while implementing protective measures in real-time to maintain security. Its notable features include continuous oversight of user prompts and file submissions, the capability to recognize sensitive data with AI awareness, immediate anonymization and sanitization of data, protection against risks posed by AI agents—such as unauthorized access incidents (like OpenClaw)—and the enforcement of website whitelisting along with strict policy implementation. Moreover, Guardrail not only bolsters user trust in AI technologies but also aligns with data privacy regulations, ensuring that users can engage with AI tools without concerns about compromising their sensitive information. This proactive approach positions Guardrail as an essential component in the evolving landscape of AI security.

What is Nymiz?

The time spent on the manual process of data anonymization takes away from critical work responsibilities. Inaccessibility to data leads to its entrapment, causing the formation of organizational silos and hampering effective knowledge management. Moreover, there is persistent apprehension regarding the compliance of shared data with ever-evolving regulations like GDPR, CCPA, and HIPAA. Nymiz tackles these obstacles by securely anonymizing personal information through both reversible and irreversible methods. The original data is replaced with asterisks, tokens, or synthetic surrogates, thus enhancing privacy while maintaining the overall utility of the information. Our solution excels in pinpointing context-specific data, such as names, phone numbers, and social security numbers, providing better results than traditional tools that lack artificial intelligence capabilities. We also add an additional layer of security at the data level to protect against potential breaches. In essence, even anonymized or pseudonymized data can become worthless if security flaws or human errors expose it, highlighting the critical need for comprehensive protective measures. By ensuring that both privacy and security are prioritized, organizations can trust in the integrity of their data while remaining compliant with regulations.

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Integrations Supported

ChatGPT
Claude
Microsoft Copilot
OpenClaw
iDox.ai Suite

Integrations Supported

API Availability

API Availability

Pricing Information

$9/device/month
Free Version

Pricing Information

Pricing not provided

Supported Platforms

Windows

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Online Training

Company Facts

Organization Name

iDox.ai

Date Founded

2024

Company Location

United States

Company Website

www.idox.ai/

Company Facts

Organization Name

Nymiz

Company Location

Spain

Company Website

www.nymiz.com

Categories and Features

AI Governance

Not specified

AI Guardrails

Not specified

AI Security

Not specified

Data Anonymization

Not specified

Data Governance

Not specified

Data Masking

Not specified

Data Security

Not specified

Categories and Features

AI Tools

Not specified

Data Anonymization

Not specified

Data Masking

Not specified

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