AI security vendor

Mindgard

Commercial parent organization

Mindgard positions its AI Security Platform around discover, assess, and defend workflows for AI models, applications, and agentic systems.

The reviewed scope in this migration covers platform-level discovery and risk analysis, AI red teaming, and runtime threat detection and response modules.

Official website

Offerings

Reviewed claims

Capabilities

Domains

Model and ValidationPosture and RiskRuntime Protection

Actions

DETECTAUDITPREVENTRESPONDPOSTURE

Offerings

Open an offering for reviewed behavior and evidence

Mindgard · platform

Mindgard AI Security Platform

AI Discovery and ReconAI Red Teaming and AssessmentAI Runtime Threat Detection and Response

6 claims+

Platform for AI discovery and reconnaissance, adversarial assessment, runtime defense, and remediation guidance.

Official source

AI Asset Discovery

DETECT

AI Discovery and Recon identifies models, agents, MCP servers, tools, and shadow AI to map AI attack surface and exposure.

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Model Security Testing

AUDIT

AI Red Teaming and Assessment runs adversarial workflows to surface jailbreak and guardrail-bypass weaknesses for pre-deployment remediation.

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Runtime Threat Detection and Response

DETECT

AI Runtime Threat Detection and Response monitors production AI execution to detect suspicious outputs and attack behavior.

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Prompt and Response Guardrails

PREVENT

Runtime guardrails are applied to block prompt injection attack paths before harmful model behavior propagates.

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Agent Runtime Governance

RESPOND

Runtime response workflows support containment and remediation for unsafe agent behavior and unauthorized action chains.

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Risk Prioritization

POSTURE

Mindgard platform workflows include risk analysis and remediation guidance to prioritize treatment of AI security findings.

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