Ratings and Reviews 5 Ratings

Total
ease
features
design
support

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • cside Reviews & Ratings
    35 Ratings
    Company Website
  • Safetica Reviews & Ratings
    414 Ratings
    Company Website
  • Jscrambler Reviews & Ratings
    40 Ratings
    Company Website
  • Athena Security Reviews & Ratings
    5 Ratings
    Company Website
  • Proton Pass Reviews & Ratings
    31,996 Ratings
    Company Website
  • BranditScan Reviews & Ratings
    54 Ratings
    Company Website
  • SOCRadar Extended Threat Intelligence Reviews & Ratings
    104 Ratings
    Company Website
  • Daylight Reviews & Ratings
    10 Ratings
    Company Website
  • Criminal IP Reviews & Ratings
    17 Ratings
    Company Website
  • ThreatLocker Reviews & Ratings
    684 Ratings
    Company Website

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 Microsoft Purview Data Loss Prevention?

Ensure intelligent detection and management of sensitive information across Office 365, OneDrive, SharePoint, Microsoft Teams, and local devices. As the landscape of data evolves, it is essential for data loss prevention (DLP) strategies to remain flexible and responsive. Explore common deployment scenarios, the challenges faced during migration, and best practices, while also considering the benefits of adopting a cloud-native DLP solution. Protect against unauthorized sharing, usage, or transfer of sensitive data across various applications, services, and devices using Microsoft Purview Data Loss Prevention. You can create, manage, and apply DLP policies directly from the Microsoft Purview compliance portal, streamlining the process for users. Moreover, DLP connects effortlessly with information protection functionalities, such as pre-built, custom, or advanced SITs and trainable classifiers, enhancing its effectiveness. Monitor, manage, and investigate alerts through the DLP alerts page, ensuring that potential issues are addressed swiftly. Additionally, these DLP alerts can be expanded to include the Microsoft Defender XDR portal and Microsoft Sentinel, bolstering your security framework. This holistic approach not only safeguards sensitive data but also promotes adherence to organizational regulations and policies, creating a safer digital environment for all users. By prioritizing DLP, organizations can cultivate trust and security in their data management practices.

Media

No images available

Media

Integrations Supported

ChatGPT
Claude
Microsoft 365
Microsoft Copilot
Microsoft Defender XDR
Microsoft OneDrive
Microsoft Purview
Microsoft Purview Audit
Microsoft Purview Compliance Manager
Microsoft Purview Information Protection
Microsoft Sentinel
Microsoft SharePoint
Microsoft Teams
OpenClaw
Siberson Veriket Data Classification

Integrations Supported

ChatGPT
Claude
Microsoft 365
Microsoft Copilot
Microsoft Defender XDR
Microsoft OneDrive
Microsoft Purview
Microsoft Purview Audit
Microsoft Purview Compliance Manager
Microsoft Purview Information Protection
Microsoft Sentinel
Microsoft SharePoint
Microsoft Teams
OpenClaw
Siberson Veriket Data Classification

API Availability

Has API

API Availability

Has API

Pricing Information

$9/device/month
Free Trial Offered?
Free Version

Pricing Information

$12 per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

iDox.ai

Date Founded

2024

Company Location

United States

Company Website

www.idox.ai/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

www.microsoft.com/en-us/security/business/information-protection/microsoft-purview-data-loss-prevention

Categories and Features

Categories and Features

Data Loss Prevention

Compliance Reporting
Incident Management
Policy Management
Sensitive Data Identification
Web Threat Management
Whitelisting / Blacklisting

Popular Alternatives

Popular Alternatives

nono Reviews & Ratings

nono

Always Further