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Mindgard Expands AI and Cloud Ecosystem with Major Providers


Mindgard Expands AI and Cloud Ecosystem with Major Providers
  • by: Business Wire
  • |
  • September 10, 2026

Mindgard, the leader in AI security, has announced an expanded technology ecosystem spanning Anthropic, NVIDIA, Microsoft, Google Cloud and Amazon Web Services. Together, these relationships place Mindgard closer to the frontier models and infrastructure shaping the future of enterprise AI, strengthening its ability to secure the agentic enterprise. The announcement follows Mindgard's $30 million Series A and growing adoption among Fortune 2000 enterprises and AI innovators.

Quick Intel

  • Mindgard expands technology ecosystem with Anthropic, NVIDIA, Microsoft, Google Cloud and AWS.
  • Expanded relationships bring Mindgard closer to frontier models and infrastructure defining enterprise AI.
  • Includes Anthropic Cyber Verification Program, NVIDIA Inception, Microsoft Founders Hub, Google Cloud and AWS Activate.
  • Insights will inform security research and translate into new platform capabilities for broader coverage.
  • Announcement follows $30 million Series A and growing Fortune 2000 enterprise adoption.
  • Mindgard AI Security Platform built for distributed AI environments combining multiple models and autonomous agents.

Expanded Ecosystem Positions Mindgard Closer to Frontier Models and Infrastructure

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, and 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 independence required to assess them objectively. Insights from this work will inform Mindgard's security research and broaden coverage to help customers identify vulnerabilities and adopt AI securely.

Securing the Fragmented Agentic Enterprise Attack Surface

As organizations move beyond isolated model experimentation, AI environments are becoming more distributed and complex, combining 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 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 Mindgard AI Security Platform was built for 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 through Shadow AI discovery, AI red teaming, and run-time AI protection.

 

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.

  • AI SecurityGoogle CloudAgentic AI
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