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What is Mindgard?

Mindgard stands at the forefront of cybersecurity for artificial intelligence, focusing on the protection of AI and machine learning models, including large language models and generative AI, for both proprietary and external applications. Founded in 2022 and drawing on the academic expertise of Lancaster University, Mindgard has swiftly emerged as a significant force in addressing the intricate vulnerabilities that come with AI technologies. Our primary offering, Mindgard AI Security Labs, exemplifies our commitment to innovation by automating the processes of AI security evaluation and threat identification, effectively uncovering adversarial risks that conventional approaches often overlook. With the backing of the most extensive AI threat library available commercially, our platform empowers businesses to safeguard their AI resources throughout their entire lifecycle. Mindgard is designed to seamlessly integrate with existing security frameworks, allowing Security Operations Centers (SOCs) to efficiently implement AI and machine learning solutions while effectively managing the unique vulnerabilities and risks associated with these technologies. In this way, we ensure that organizations can not only respond to threats but also anticipate them, fostering a more secure environment for their AI initiatives.

What is IBM Guardium AI Security?

Regularly assess and address vulnerabilities associated with AI data, models, and application usage utilizing IBM Guardium AI Security, which offers continuous and automated monitoring for AI deployments. The platform detects security weaknesses and configuration errors while overseeing the security interactions among users, models, data, and applications. This capability is part of the IBM Guardium Data Security Center, which aims to improve collaboration between security and AI teams by providing streamlined workflows, a consolidated view of data assets, and centralized compliance guidelines. Guardium AI Security pinpoints the specific AI model associated with each deployment, detailing the interactions among data, models, and applications involved. Moreover, it reveals all applications that interact with the model, enabling users to evaluate vulnerabilities in the model, its underlying data, and the applications involved. Each identified vulnerability is assigned a criticality score, which aids in the efficient prioritization of remediation actions. Additionally, users have the capability to export the list of vulnerabilities for detailed reporting, ensuring that all relevant stakeholders are kept informed and coordinated on security initiatives. This proactive strategy not only fortifies security measures but also cultivates a culture of vigilance and proactive response within the organization, ultimately enhancing overall resilience against potential threats.

Media

Media

Integrations Supported

Azure Marketplace
IBM Guardium

Integrations Supported

Azure Marketplace
IBM Guardium

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Mindgard

Date Founded

2022

Company Location

United Kindom

Company Website

mindgard.ai/

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/guardium-ai-security

Categories and Features

Cybersecurity

AI / Machine Learning
Behavioral Analytics
Endpoint Management
IOC Verification
Incident Management
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting

Categories and Features

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