HiddenLayer Raises $100M Series B to Advance Trustworthy AI
The investment comes as enterprises race to secure a rapidly expanding AI attack surface, from foundation models to the autonomous agents now writing and shipping code on their behalf.
The company will use the funding to deepen its enterprise platform, including its Agentic Runtime Security capabilities, and Agent Harness Security, a new solution that extends the Runtime Security module to secure AI coding agents at runtime and protect enterprises adopting autonomous coding agents into their stack.
"We set out to pioneer trusted, secure use of AI for enterprises, long before most organizations saw the urgency we do today. This funding lets us keep growing the purpose-built team and platform required to meet that moment as agentic AI becomes core to how enterprises operate," said
The raise follows a standout year: HiddenLayer's annual recurring revenue grew more than 10x, and the company signed more than 50 new platform customers, including some of the largest names in securities brokerage, banking, insurance, accounting, government, technology, IT services, pharmaceuticals, airlines, and the US defense and intelligence communities. Internationally, new customers included one of the world's largest pharmaceutical companies, along with several premium automotive brands and food and beverage providers. HiddenLayer also supports a leading frontier model provider in securing more than 700 million weekly users.
This growth is underpinned by a world-class research team that has directly influenced how leading organizations protect their AI systems. HiddenLayer's researchers hold 39 granted patents and 65 pending patents spanning adversarial detection, model protection, and AI threat analysis. The team developed the first comprehensive Adversarial Prompt Engineering (APE) Taxonomy and continues to research emerging threats across generative, predictive, and agentic AI, identifying dozens of vulnerabilities across the AI ecosystem, from foundation models to the tools and infrastructure that support them. HiddenLayer's researchers also contribute to the broader AI security community through work with organizations and initiatives including CISA/JCDC, MITRE, NIST, OWASP, and OpenSSF, improving red teaming methodologies and informing global discussions on AI governance and safety.
"Traditional security tools were built for code and infrastructure, not for models that can be poisoned, hijacked, or manipulated through their own inputs," said
The funding allows HiddenLayer to focus on the three fronts where enterprises are most exposed: Agentic Runtime Security, giving organizations visibility into how their AI agents behave in production, flagging and stopping manipulation, tool misuse, and unauthorized actions as they happen, and securing Agentic Harnesses and Autonomous Coding Agents that write, review, and ship code with much less human oversight than traditional development tools. As AI cannot be made trustworthy through design-time principles alone, there is no trustworthy AI without end-to-end AI-native security. Trust has to be continuously tested and proven at runtime. These capabilities are designed to give enterprises the confidence to trust their AI, with 96% of organizations already considering AI critical to their core operations, but nearly a third unable to say with certainty whether they've experienced an AI-related breach, according to HiddenLayer's 2026 AI Threat Landscape Report.
"Enterprises don't shift budgets at this pace unless a problem is urgent. HiddenLayer's growth over the past year across defense, financial services, and some of the most sensitive AI deployments in the world demonstrates that security teams have concluded that AI needs its own category of protection," said
"HiddenLayer was early to recognize that enterprise security is critical to the safe deployment of AI, and its buildout of an end-to-end platform to enable compliant AI adoption is an important contribution to addressing this market need," said
HiddenLayer is also strengthening its leadership team, recently naming
About HiddenLayer
HiddenLayer secures agentic, generative, and predictive AI applications across the entire AI lifecycle, from discovery and AI supply chain security to attack simulation and runtime protection. Backed by patented technology and industry-leading adversarial AI research, our platform is purpose-built to defend AI systems against evolving threats. HiddenLayer protects intellectual property, helps ensure regulatory compliance, and enables organizations to safely adopt and scale AI with confidence.
About Delta-v Capital
Delta-v Capital ("Delta-v") partners with visionary leaders of technology companies to accelerate their next phase of growth. Delta-v is a sector-focused investor with expertise in infrastructure software, cloud services, vertical software, and digital infrastructure. The firm provides flexible growth capital to support organic growth, strategic acquisitions, and shareholder liquidity, partnering with management teams and existing investors as companies scale. Delta-v currently manages over $1.6B in assets on behalf of institutional and individual investors. For more information, please visit www.deltavcapital.com or follow Delta-v Capital on LinkedIn.
Contact
SutherlandGold for HiddenLayer
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SOURCE HiddenLayer
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