Mindgard Expands AI and Cloud Ecosystem with Anthropic, NVIDIA, Microsoft, Google Cloud and AWS

Expanded relationships bring Mindgard closer to the models, infrastructure and technologies defining AI, strengthening its ability to secure the agentic enterprise

BOSTON--(BUSINESS WIRE)--Mindgard, the leader in AI security, announced today an expanded technology ecosystem spanning Anthropic, NVIDIA, Microsoft, Google Cloud and Amazon Web Services (AWS). Together, these relationships place Mindgard closer to the frontier models and infrastructure shaping the future of enterprise AI.

Mindgard’s expanded ecosystem includes:

• Anthropic, through its Cyber Verification Program
• NVIDIA, through NVIDIA Inception
• Microsoft, through the Microsoft Founders Hub
• Google Cloud, through its program supporting high-growth AI companies
• Amazon Web Services, through AWS Activate

Through these relationships, Mindgard will remain closely aligned with the models, agent frameworks and deployment architectures shaping enterprise AI, while preserving the independence required to assess them objectively. Insights from this work will inform Mindgard’s security research and translate into new platform capabilities, broadening coverage and helping customers identify vulnerabilities, strengthen defenses and adopt AI securely as their environments evolve.

“The enterprise AI stack will not belong to one model or cloud,” said Peter Garraghan, Founder and Chief Science Officer at Mindgard. “It shall span providers, agents, tools, and data each introducing different behaviors and potential attack paths. Working with these technology ecosystems helps us sharpen our attacker-driven research and translate what we learn into stronger protection for customers.”

The announcement follows Mindgard’s $30 million Series A and growing adoption among Fortune 2000 enterprises and AI innovators. As organizations move beyond isolated model experimentation, their AI environments are becoming more distributed and complex. Applications increasingly combine multiple models, autonomous agents, cloud services, external tools and sensitive data sources.

This growing fragmentation creates an expanding attack surface that cannot be secured through controls tied to a single model provider or infrastructure stack. The Mindgard AI Security Platform was built for precisely this challenge, combining pioneering AI security research with offensive security expertise to discover AI across the enterprise, assess systems from an attacker’s perspective and defend them in production.

To learn more about Mindgard and its AI security platform, visit mindgard.ai.

About Mindgard

Mindgard helps organizations discover, assess and defend their AI systems. Spun out of more than a decade of AI security research at Lancaster University in the UK and headquartered in Boston and London, Mindgard operationalizes the expertise of AI researchers and offensive security practitioners through a Security Platform that performs Shadow AI discovery, AI red teaming, and run-time AI protection to assess and mitigate risk across models, agents, and applications.