Mindgard
Mindgard is the leading provider of AI security solutions. Spun out from over a decade of AI security research at Lancaster University and headquartered in Boston and London, Mindgard helps enterprises secure their AI models, agents, and applications across the AI lifecycle. AI introduces risks that traditional security tools cannot detect, leaving organizations unable to find, measure, or secure their AI. Security teams struggle with a lack of visibility into AI activity and its attack surfaces. Difficulty reproducing agentic AI behavior creates uncertainty and compliance challenges. Ultimately, an inability to enforce AI controls heights the risk of compromise. Mindgard delivers AI detection and response through attack-driven defense, giving enterprises the ability to map their AI attack surface, measure and validate AI risk, and actively defend their AI. - Visibility into AI inventory and activity reveals what attackers can find out about your AI. - Continuous and automated AI red teaming assesses how attackers can exploit your AI. - Enforcement controls and policies at runtime stops attackers from breaching your AI. Mindgard stands out for its: - Flexibility: Test AI models directly or via apps using CI/CD, our web UI, or tools like Burp Suite. - Usability: The only non-open-source AI red teaming platform, fast and easy to set up, test, and report with. - R&D pipeline: Backed by a decade of university research and active PhD-level innovation and publishing. Mindgard works with the AI models and guardrails you build, buy and use. Extensive coverage beyond LLMs, including image, audio, and multi-modal. Whether you are using open source, internally developed, 3rd party purchased, or popular LLMs like OpenAI, Claude, Bard, we’ve got you covered. Trusted by leading organizations in finance, healthcare, and technology, Mindgard is backed by investors including .406 Ventures, IQ Capital, Atlantic Bridge, and Lakestar. For more information, visit mindgard.ai
Founded
2022
Location
Boston, Massachusetts
Employees
25
Funding
$7M Seed
Mindgard: AI Red Teaming, Runtime Testing, and Detection & Response for AI Systems
Mindgard is an AI security platform that delivers automated red teaming, dynamic application security testing for AI (DAST‑AI), and ongoing detection and response across the AI lifecycle. The platform maps your AI attack surface, continuously probes models and agents with a large adversarial library, and enforces policies to stop real attacks in production—integrating with CI/CD and enterprise security workflows.
What Mindgard Does
Mindgard positions its approach as an attack‑driven defense for AI:
Mindgard covers LLMs, multi‑modal, image, and audio models, including chatbots, agents, and both fine‑tuned and hosted third‑party models. It integrates with developer and security tooling such as CI pipelines and offers a [CLI](https://github.com/Mindgard/cli) and a Burp Suite extension.
Core Modules
Reference: [AI Security Platform](https://mindgard.ai/ai-security-platform)
Coverage and Integrations
Who It’s For
Typical Use Cases
Differentiators
Practitioner Sentiment
Note: As of this research, no verified listings on G2 or Capterra were found, making broad third‑party review benchmarking limited.
Getting Started
Competitive Context
Adjacent vendors include [Lakera](https://www.lakera.ai/), [HiddenLayer](https://hiddenlayer.com/), [Robust Intelligence](https://www.robustintelligence.com/), [Protect AI](https://www.protectai.com/), [CalypsoAI](https://www.calypsoai.com/), [Cranium](https://www.cranium.ai/), and [Microsoft Defender for AI](https://www.microsoft.com/security/business/ai-security/microsoft-defender-for-ai). Mindgard’s emphasis is on breadth of automated red teaming, runtime DAST‑AI, and enterprise workflows with CLI and Burp Suite integrations. See: [Platform](https://mindgard.ai/ai-security-platform) and related [blog posts](https://mindgard.ai/blog/what-is-ai-security).
Quick Facts
Why It Matters
As AI systems move into critical workflows, organizations need a continuous, attack‑driven approach to security that spans build, test, and run. Mindgard consolidates automated red teaming, runtime testing, and enforcement—validating defenses like guardrails and WAFs—so teams can measure and reduce AI risk with evidence that maps to recognized frameworks such as [MITRE ATLAS](https://atlas.mitre.org/) and [OWASP](https://owasp.org/).
If you need more detail on specific features (e.g., attack categories, reporting formats, or CI recipes), request a demo via [Mindgard](https://mindgard.ai/) or explore the [CLI on GitHub](https://github.com/Mindgard/cli).
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