Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Mindgard is an automated AI red teaming and offensive security platform purpose-built for AI systems and agents. It continuously red teams models, agents, and applications to find the vulnerabilities most likely to cause a breach, validates whether guardrails and controls hold, and shows security and engineering teams how to close each gap.
Tests emulate real attacker behavior across prompt injection, jailbreaks, data extraction, poisoning, and agentic tool abuse, with findings mapped to OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and the EU AI Act. Mindgard cuts AI risk assessment from weeks to hours and supports continuous compliance as AI systems change. Modules: AI Discovery & Recon, AI Red Teaming, AI Assessment, AI Runtime Protection, Model Scanning, AI Governance & Compliance.
Description
Pi serves as a proactive product security platform designed to cultivate a robust institutional security memory, enabling organizations to identify, address, and avert recurring vulnerabilities without hindering their development processes. By continuously assimilating various elements like codebases, historical incidents, penetration test reports, and support tickets into a dynamic inventory, it provides essential context regarding the organization's software development and security practices. Upon discovering a vulnerability, Pi not only identifies its architectural root cause but also searches the entire codebase for similar variants, facilitating a comprehensive resolution of related issues instead of addressing each finding in isolation. The remediation process is tailored to align with the organization's specific programming languages, architectural frameworks, and coding conventions, seamlessly integrating into developers' workflows. Additionally, the insights gained by the system are transformed into preventive guardrails that can be implemented in integrated development environments (IDEs) and during pull requests, effectively intercepting known insecure practices before they can be deployed into production. Ultimately, this approach not only enhances security but also streamlines the development lifecycle, ensuring that security becomes an integral part of the coding process.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Amazon Web Services (AWS)
No
Bitbucket
No
Confluence
No
GitHub
No
GitLab
No
Jira
No
Linear
No
Notion
No
Slack
No
Integrations
Amazon Web Services (AWS)
Yes
Bitbucket
Yes
Confluence
Yes
GitHub
Yes
GitLab
Yes
Jira
Yes
Linear
Yes
Notion
Yes
Slack
Yes
Pricing Details
Contact vendor
Quote-based. Contact Mindgard to book a demo and discuss pricing. An open-source CLI (pip install mindgard, MIT licence) is available for testing individual models.
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
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
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
No
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
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Mindgard
Founded
2022
Country
United Kindom
Website
mindgard.ai/
Vendor Details
Company Name
Pi Security
Country
United States
Website
www.pi.security/
Product Features
Cybersecurity
AI / Machine Learning
Yes
Behavioral Analytics
No
Endpoint Management
No
IOC Verification
No
Incident Management
No
Tokenization
No
Vulnerability Scanning
Yes
Whitelisting / Blacklisting
No
Product Features
Vulnerability Management
Asset Discovery
No
Asset Tagging
No
Network Scanning
No
Patch Management
No
Policy Management
No
Prioritization
No
Risk Management
No
Vulnerability Assessment
No
Web Scanning
No