Mindgard

Automated security testing for AI models and agents.

Mindgard is an AI security platform that automatically tests AI systems — including LLMs and AI agents — for vulnerabilities before and after they are deployed. It covers a range of attack types specific to AI, including prompt injection, data extraction, adversarial inputs, and model evasion, providing security and AI teams with a structured way to assess the resilience of their AI systems against known threats. Mindgard is positioned for mid-market and enterprise organizations that are deploying AI in customer-facing or high-stakes contexts and need assurance that those systems can withstand adversarial attempts. It differentiates itself from general application security tools by focusing specifically on the AI attack surface, which requires different testing methods than traditional software vulnerabilities.

Compliance

GDPR ISO 27001 SOC 2

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Key Features

Automated AI red-teaming: Runs systematic, automated adversarial tests against AI models and agents to identify vulnerabilities without requiring a manual red team exercise for every deployment.
Prompt injection testing: Specifically tests for prompt injection attacks — attempts by malicious inputs to override a model’s instructions — which are among the most prevalent threats to LLM-based applications.
Data leakage detection: Tests whether a model can be induced to reveal training data, system prompts, or sensitive information it should not expose.
Continuous security monitoring: Supports post-deployment testing so teams can detect new vulnerabilities that emerge as models are updated or as new attack techniques are discovered.
Compliance-oriented reporting: Generates structured reports of findings to support security audits, risk assessments, and emerging AI security compliance requirements.

Use Cases

For security teams assessing AI before deployment: A security team at an enterprise about to launch an LLM-powered customer service agent runs Mindgard’s automated tests to identify prompt injection risks and data leakage vulnerabilities before the product goes live.
For organizations with ongoing AI security requirements: A regulated enterprise runs periodic Mindgard assessments against its deployed AI systems to detect new vulnerabilities and demonstrate ongoing security diligence to auditors.

Pricing MODELS

Saas subscription

Pricing Summary

Mindgard uses a SaaS subscription model with custom enterprise pricing. No self-serve or publicly listed tiers are available — interested buyers contact the company for a quote.