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What is Mindgard?

Mindgard is an automated AI security platform designed to discover, assess, and defend AI systems and agents against high-impact vulnerabilities. Originating from a decade of research at Lancaster University, the tool acts as an autonomous red teamer to map the AI attack surface and identify exploits before they are used by adversaries. It provides continuous analysis and runtime protection, helping organizations secure their AI infrastructure, models, and agentic workflows. The platform is particularly effective at surfacing hidden instructions, system prompt leaks, and cross-modal prompt injections. By automating reconnaissance and security scanning, Mindgard reduces the manual effort required for AI security assessments by up to ten times. It is built for enterprises that need to maintain compliance and safety while deploying complex AI applications in production environments. The solution works across various AI systems, from open-source models to managed platforms, ensuring comprehensive coverage.

AI Tool Review Summary

Performance Score

4.8/5

Content/Output Quality

High-fidelity security reports and risk assessments

Interface

Professional and data-driven dashboard

AI Technology
LLMNLPComputer Vision
Purpose of Tool

Automated AI red teaming and security risk management.

Compatibility

Integrates with major AI models, agents, and production infrastructure.

Pricing

Enterprise pricing available via demo

Features

Features with the highest value for users are highlighted here.

Automated AI red teaming

Runtime AI protection

Shadow AI risk exposure discovery

Psychometric agent profiling

AI infrastructure crawling

Compliance and risk reporting

How It Works

1

Discover and Map

The platform crawls AI infrastructure to identify shadow AI and map the entire attack surface.

2

Automated Reconnaissance

It uses attacker-style techniques to profile agents and find potential entry points for exploitation.

3

Red Team Attack

The system executes automated security tests and red teaming to surface high-impact vulnerabilities.

4

Defend and Remediate

It provides runtime protection and context-driven guardrails to stop attacks and fix identified risks.

Who Is It For?

Enterprise Security Teams

AI Developers

Compliance Officers

DevSecOps Engineers

Chief Information Security Officers

AI Research Labs

Financial Services

Healthcare Providers

SaaS Companies

Managed Service Providers

Pricing

Enterprise Demo

$0/free
  • Initial vulnerability scan
  • Platform walkthrough
  • Security consultation
Popular

Enterprise Platform

Custom/monthly
  • Continuous red teaming
  • Runtime protection
  • Full GRC reporting
  • Priority support

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Pros & Cons

Pros

  • Provides deep security insights based on a decade of academic research.
  • Automates complex red teaming tasks to significantly speed up security assessments.

Cons

  • Platform complexity may require dedicated security personnel to manage effectively.
  • Primarily targets enterprise-scale AI deployments rather than individual developers.

FAQs

Just Launched

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Rating

5.0

Pros

Cons

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Analytics of The People You Must Know in AI Security and AI Red Teaming - Mindgard

Website traffic and keyword analysis.

Live dataFeb 2026 – Apr 2026

Monthly visits

39.49K

-12.0% vs prior month

Avg. visit duration

00:00:13

M 4 2026 snapshot

Pages / visit

1.55

M 4 2026 snapshot

Bounce rate

41.69%

Lower is better

All traffic · Worldwide

Weekly estimate · Feb 1, 2026 – Apr 29, 2026

7.9K8.75K9.61K10.46K11.32KFeb 1Feb 15Mar 1Mar 15Mar 29Apr 8Apr 22Apr 29

Peak week: 11.32K (Feb 1, 2026)Low week: 7.9K (Apr 1, 2026)WoW: 0.0%Derived from monthly estimates · SimilarWeb-equivalent

Release History

0 releases published

No releases yet.

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