What is Mindgard?
Mindgard specializes in offering automated AI red teaming and comprehensive security testing services designed to protect AI models, agents, and entire systems throughout their lifecycle. By proactively identifying vulnerabilities and implementing runtime protection against diverse cyber threats, Mindgard empowers organizations across finance, healthcare, and technology sectors to fortify their AI infrastructure. The company's attacker-aligned testing methodology enables clients to effectively defend against potential risks and ensure the integrity of their AI deployments.
How much funding has Mindgard raised?
Mindgard has raised a total of $11.6M across 2 funding rounds:
Angel/Seed
$3.8M
Unspecified
$7.8M
Angel/Seed (2023): $3.8M with participation from Lakestar and IQ Capital
Unspecified (2025): $7.8M led by WillowTree Investments, Summit Bridge Capital, and .406 Ventures
Key Investors in Mindgard
WillowTree Investments
WillowTree Investments is an early-stage venture capital fund that focuses on AI-first startups in Enterprise Tech, Fintech, and Vertical SaaS. They leverage their network of unicorn founders and experienced investors to support companies from pre-seed to Series A.
Summit Bridge Capital
Summit Bridge Capital is a growth technology fund co-managed by Atlantic Bridge Capital and WestSummit Capital Management, targeting cross-border companies in core technology sectors like internet, software, and cloud.
.406 Ventures
.406 Ventures is a venture capital firm that partners with early-stage companies in healthcare, data and AI, and cybersecurity, aiming to transform them into industry leaders through capital and strategic support.
What's next for Mindgard?
With the recent major enterprise-level funding and a significant strategic investment, Mindgard is poised for accelerated growth and innovation in the rapidly evolving AI security landscape. This capital infusion is expected to fuel further development of its AI security testing platforms and expand its market reach. The company's commitment to providing robust, automated solutions for AI model protection positions it to capitalize on the increasing demand for secure AI implementations across various industries. Future strategic initiatives will likely focus on enhancing its threat intelligence capabilities and broadening its service offerings to address emerging AI-specific security challenges.
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