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What is Mindgard?

Mindgard is an automated AI red teaming platform for security and engineering teams accountable for AI in development and production. It continuously tests AI models, agents, and applications the way real attackers do, finds the vulnerabilities most likely to cause a breach, validates whether guardrails hold, and delivers evidence and remediation steps to close each gap. Coverage includes prompt injection, jailbreaks, data extraction, poisoning, and agentic tool abuse, mapped to OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and the EU AI Act. Assessments take hours rather than weeks. SOC 2 Type 2 compliant.

What is Enkrypt AI?

Enkrypt AI is an agentic AI security and compliance platform that helps enterprises identify, mitigate, monitor, and govern risks associated with AI models, applications, agents, and supporting infrastructure. The platform is designed to cover AI security threats and compliance requirements across different models and modalities while allowing organizations to continuously evaluate AI systems as they evolve. Its dynamic red teaming capabilities generate use-case-specific attacks that adapt in real time to uncover security, safety, compliance, and brand risks beyond those identified through static testing. Enkrypt AI can test for threats including prompt injection, jailbreaking, data leakage, model inversion, adversarial attacks, drip attacks, unsafe actuation, policy violations, and misuse by end users. It also evaluates AI quality and safety risks such as hallucinations, model drift, bias and discrimination, toxic content, deceptive behavior, misleading outputs, lack of explainability, and brand misalignment. Real-time guardrails detect and stop risky interactions as they occur while adapting to new prompts, behaviors, and emerging threats. Continuous monitoring gives security and compliance teams visibility into AI risks, protection effectiveness, and areas requiring action as models and applications change. Enkrypt AI's compliance functionality converts internal policies and external regulatory requirements into automated guardrails and generates evidence that can support audits and compliance programs. The product portfolio includes Agent Red Teaming, Agent Guardrails, an Agent Policy Engine, AI Data Risk Audit, MCP Scanner, and MCP Gateway for protecting AI agents, their data, and their connections to tools and infrastructure. Enkrypt AI supports use cases including customer-facing AI agents, frontier models, AI compliance and auditing, third-party AI risk, secure AI development, data risk assessment, and MCP security.

Media

Media

No images available

Integrations Supported

Integrations Supported

Anaconda
Claude Code
CrewAI
Cursor
Kilo Code
Kiro
LangGraph
Model Context Protocol (MCP)
OpenAI Agents SDK
Vercel AI SDK

API Availability

Has API

API Availability

Pricing Information

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.

Pricing Information

Contact us for pricing
Free Trial Offered?

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Online 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

Anaconda

Date Founded

2022

Company Location

United States

Company Website

www.enkryptai.com

Categories and Features

AI Agent Security

Not specified

AI Security

Not specified

Cybersecurity

AI / Machine Learning
Vulnerability Scanning

Categories and Features

AI Agent Security

Not specified

AI Governance

Not specified

AI Guardrails

Not specified

AI Security

Not specified

MCP Gateways

Not specified

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