Mindgard Reviews, Ratings & Features 2026 | Gartner Peer Insights

AI security testing (AI‑ST) uncovers vulnerabilities and exposures in AI‑enabled systems and applications by applying specialized assessments tailored to the unique risks of machine learning and generative AI. It includes offensive techniques such as automated generation and execution of adversarial prompts, as well as AI component scanning across model repositories, libraries, frameworks, and notebooks. AI‑ST also evaluates model behavior under manipulation, edge cases, and failure modes to identify issues like data leakage, bias, or unsafe outputs. By proactively detecting weaknesses before deployment, AI‑ST helps organizations strengthen resilience, reduce security incidents, and maintain trust in AI‑driven products. Typical users include security teams, AI/ML engineers, red‑teamers, DevSecOps practitioners, and risk or compliance groups responsible for safeguarding AI applications.

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AI Security Testing

Mindgard Platform

Mindgard

Customer Service & Support Associate

My overall experience has been very impressive. I like that the system is able to pick up general threats as well as AI generated risks especially in this new era that is being taken over by AI apps and systems, which is definitely a plus

<50M USD

50M - 250M USD

1B - 3B USD

3B - 10B USD

Ingenieur Systemes

Mindgard provides comprehensive protection to our machine learning systems against all types of vulnerabilities such as malware attacks, ransomware attacks and many other related cyber threats. The software has enabled us to improve our security posture by safely emulating attacks and identifying real threats and risks. Through use of the product we have been able to streamline our security operations and prioritise on important issues. Mindgard is fairly affordable. It has competitive pricing that includes a free version and premium for advanced users. Software support services are available in real-time via online chat.

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Mindgard focuses on addressing the security risks associated with AI systems, including models, agents, and applications, throughout the AI lifecycle. The company provides solutions to identify, measure, and secure AI against threats that traditional security tools do not detect. Mindgard's approach incorporates AI detection and response by mapping attack surfaces, validating risks, and implementing defense mechanisms. It offers visibility into AI activity and automates assessments of vulnerabilities to support organizations in managing compliance and reducing uncertainty related to agentic AI behavior. The platform supports testing and enforcement controls for various AI types, including large language models, image, audio, and multimodal systems, regardless of their source.

Mindgard is the leading provider of AI Red Teaming 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 and Claude, 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

Reviews

Ratings Overview

Overall experience with

Favorable Review

Evaluating Mindgard’s Approach to Threat Detection and Real-Time Security Analytics

Critical Review

Difficult Setup Process Noted Despite Effective AI and General Threat Detection

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