The Mindgard Platform

Mindgard AI Security Labs is built to secure AI, GenAI, and LLMs against cyber attacks and data leakage. Take your first crucial step towards managing AI risk.

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AI Security Risk Analytics

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AI Security Risk Analytics

Empower your AI cybersecurity with data-driven insights. Our AI Cyber Risk Analytics shines a light on vulnerabilities before they're exploited. We identify and prioritise threats, helping you focus your defence where it matters the most. Invest smarter, stay vigilant, and breathe easier knowing your AI assets are protected.

Comprehensive Model Support

We offer unparalleled AI model support, meaning we can protect everything from the latest Large Language Models (LLMs) and Generative AI (GenAI) to your own custom-built audio, video, image and other AI assets. No matter what you are building, deploying, or fine-tuning across your own solution or even integrating a 3rd party solution, our platform has your back. Whether it's a chatbot, an image-recognition algorithm, finance tool, or a medical diagnosis tool, our platform has your AI security covered.

Native Support Across ML Frameworks

Native Support Across ML Frameworks

Our platform eliminates the headaches of AI security and ML framework integration. We seamlessly support industry-standard ML frameworks like PyTorch, TensorFlow, and ONNX, all within the same platform. What to explore lowering your potential risk by switching frameworks? No problem, just select via our platform and re-run your AI risk assessment, all within seconds. No more wrestling with complex integrations – focus on unlocking the true potential of AI, without a massive AI security overhead.

Market-leading AI Attack Library

Our market-leading AI attack library is the largest commercially available and is constantly updated with the latest attacks, driven by our PhD-led AI Research teams. All Mindgard platform customers can unmask potential vulnerabilities before hackers have time to exploit them.

Cloud/On-premises Deployment and API Integration

Cloud/On-premises Deployment and API Integration

Deliver against your organisation's requirements by deploying in the cloud, on-premises or even behind an air-gap. From Day One, we designed our platform to seamlessly integrate into your existing security pipeline and other industry-leading ecosystem components, such as Crowdstrike, SentinelOne, Splunk, Microsoft Sentinel, etc. Secure your AI today and leverage your existing investments.

AI Security Risk Analytics

Comprehensive Model Support

Native Support Across ML Frameworks

Market-leading AI Attack Library

Cloud/On-premises Deployment and API Integration

The Mindgard AI Security Labs are a scaled-back version of our full Enterprise platform, designed to give anyone who is curious about AI Security the ability to do their own security testing.

You will have full access to our AI Attack Builder system. This lets you select a custom combination of AI attacks against a selected dataset and ML framework and then see the effectiveness of the attack in results summary report for each scenario.

Mindgard AI Security Labs is a way for us as a company to spread knowledge of how important it is to apply rigorous AI Security. We aim to educate and enable the same cyber security testing diligence that is used today on non-AI applications to be applied to AI assets.

100% free forever. There are no costs or catches involved in signing up to our Lab environment, apart from our sign-up process. Any communications from which, you can fully opt out of.

The Mindgard AI Security Labs allow each registered user the ability to run up to 5 x AI attack combinations and then analyze the results once complete.

Absolutely! Each AI attack that a user builds is run in our cloud environment and GPU datacenter against the exact parameters chosen. This allows us to add more attacks, models, datasets and frameworks in the future.

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Given that we have curated the AI attack scenarios in the Mindgard AI Security Labs, each attack scenario can involve everything from simple vision models to hosting our own LLM, and hence each AI attack can vary considerably in duration. A typical AI security test takes several minutes to complete, subject due to number of users actively using the platform.

Furthermore, our Mindgard AI Security Labs has finite resources, so please bear with us as we process each user's attack submission.

In the coming weeks, we will also release a notification system to update you when your AI attack results are available in the Mindgard AI Security Labs portal.

The Mindgard Enterprise version can be deployed within a container or on 'bare metal'. We work with all our Enterprise customers to recommend the ideal deployment scenario within their own environments.

The Enterprise version of the Mindgard platform makes every feature of the platform available. This ranges from our entire range of AI attacks (largest commercially available globally) through to access to our 'AI threat intel' approaching a million AI attack scenario results, which in turn drives our remediation recommendation engine.

The Enterprise Mindgard platform is truly flexible and can be deployed in cloud, on-premise and even within an air-gapped environment.

The Mindgard Platform

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