ArmorCode Accelerates AI Risk Management
ArmorCode just raised $16 million in new funding, pushing its total to $81 million so far. With this boost, the company plans to ramp up its Agentic AI Platform, reach more customers around the world, and keep rolling out new features. The big idea? Help businesses use AI safely—without leaving their apps, cloud setups, or infrastructure exposed.
“Enterprises are moving fast with AI, and with five trillion AI agents expected by 2030, managing the risks is more important than ever,” said Nikhil Gupta, ArmorCode’s Founder and CEO. “With this funding, we can speed up our platform’s growth, work with more big companies, and keep building what we believe is the most complete exposure management solution out there.”
ArmorCode has doubled year over year, supporting Global 2000 enterprises. Interest in AI security governance and lifecycle management is growing, with nearly 80 percent of customers requesting expanded visibility into AI agents, MCP servers, and shadow AI.
Strategic Investment and Board Expansion
Cheyenne Ventures took the lead in the Series B round, with Ballistic Ventures, Highland Capital, Sierra Ventures, NGP Capital, Harmonic Growth Partners, Tau Ventures, and Cervin also jumping in. Some of the earlier investors came back to back the company’s next stage of growth.
And on top of that, Phil Venables joined ArmorCode’s Board of Directors—a big leadership addition.Venables, Venture Partner at Ballistic Ventures, previously served as Chief Information Security Officer at Google Cloud and Goldman Sachs. His appointment reinforces ArmorCode’s cybersecurity and enterprise risk credentials.
“ArmorCode is uniquely positioned to navigate the intersection of AI innovation and enterprise risk,” said Venables. “Organizations need unified exposure management to mitigate risks across applications, infrastructure, and AI systems. ArmorCode is building that control plane.”
Gregory Eaton, Managing Director of Cheyenne Ventures, added: “AI and autonomous agents are reshaping the enterprise, driving exponential growth in security complexity. ArmorCode is transforming fragmented security data into actionable risk reduction. We are proud to support their vision for the agentic era.”
Expanding Agentic AI Capabilities
ArmorCode’s Agentic AI Platform unifies security findings across multiple environments. This includes application, cloud, infrastructure, and AI systems. The platform helps organisations reduce exposure faster and align security with business outcomes.
Here’s what the new funding will make possible:
First up, ArmorCode’s beefing up its AI Exposure Management tools. The goal? Make it way easier to see and control how AI gets used across the board. With clear rules and real accountability, companies can roll out AI safely and finally get rid of all that risky “shadow AI” stuff.Next, the Agentic AI Platform’s about to get a serious upgrade. Thanks to the new Anya Agentic Framework, you’ll get multi-step, automated security workflows and support for even more MCP servers. In plain English: businesses can build out a security control plane that actually fits their needs and keeps up as they grow.ArmorCode’s also doubling down on its sales and partner network. They’re hiring more people for direct sales and growing their channel programs. Expect to see more partnerships with value-added resellers and system integrators, especially in North America and EMEA.Finally, they’re putting more muscle behind customer success. That means more solution architects, more AI security experts—just more hands on deck—so customers get results faster and cut down on risks they can actually measure.Unified Exposure Management for the AI Era
ArmorCode’s Agentic AI unifies exposure management, enhancing security and governance. Source: Created by Ventureburn
As AI becomes embedded across enterprise operations, security teams face fragmented visibility. Dozens of tools, agents, MCP servers, and shadow AI applications make it difficult to understand real risk.
ArmorCode’s platform consolidates these signals into a single risk view. Enterprises gain visibility across AI agents, sanctioned and unsanctioned applications, MCP servers, and shadow AI. This allows teams to act faster, reduce exposure, and enforce policies aligned with business outcomes.
Powered by Anya, the industry’s first agentic AI framework for enterprise security, the platform processes over 200 billion findings annually across hundreds of native integrations. ArmorCode prioritises and drives remediation across applications, cloud, code, infrastructure, and AI.
François-Xavier Leduc, CTO and co-founder of DeepIP, noted similar trends in patent and AI management: embedding AI directly into workflows improves adoption and efficiency. ArmorCode applies this principle to security, ensuring that AI works natively in enterprise operations rather than as a standalone tool.
More News: DeepIP Secures $25M Series B To Transform Patent Workflows With AI
Global Impact and Future Growth
The funding enables ArmorCode to expand operations in North America, EMEA, and beyond. The company will invest in research and development to further enhance Agentic AI workflows and maintain rigorous security and compliance standards.
“Our ultimate ambition is to make AI exposure management an integrated enterprise system, not just a tool. This ensures consistent, auditable control across every AI, cloud, and infrastructure environment,” said Gupta. “The funding allows us to scale our vision, deepen enterprise adoption, and continue innovating responsibly.”
Enterprises adopting ArmorCode report stronger AI governance and faster deployment times. ArmorCode stands out for big companies—think Fortune 500 and Fortune 1000—who need real, usable risk insights. With Agentic AI, unified exposure management, and a growing global presence.
ArmorCode doesn’t just keep up; it sets the pace in protecting AI-powered operations. Top names like Phil Venables back the company as investors and advisors, which gives enterprise clients extra confidence as they tackle the messy, unpredictable world of AI risk.
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