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# HiddenLayer Raises US$100 Million to Secure the AI Agents Enterprises Are Now Putting Into Production
- URL: https://www.theinvestorsociety.com/hiddenlayer-raises-us-100-million-to-secure-the-ai-agents-enterprises-are-now-putting-into-production/
- Published: 2026-09-03T23:00:22.000Z
- Updated: 2026-09-03T23:00:21.000Z
- Author: The Editor
- Tags: Western Hemisphere

HiddenLayer, an Austin-based AI security company, announced on September 2, 2026, a US$100 million Series B led by Delta-v Capital, with participation from Ten Eleven Ventures, Morgan Stanley, Microsoft's venture arm M12 and Booz Allen Ventures. The round brings the company's total raised to roughly US$150 million, following a US$50 million Series A about three years earlier. HiddenLayer is led by co-founder and Chief Executive Officer Chris Sestito, and the company also named Mike Gesnaldo as chief revenue officer alongside the raise.

The company sells software that protects predictive, generative and agentic AI systems across their lifecycle, scanning roughly 50 different AI file frameworks for malicious code and defending deployed systems against prompt injection, agent manipulation and abuse of the tools agents are permitted to call. HiddenLayer said annual recurring revenue, described as in the tens of millions of dollars, grew more than tenfold over the past year, with more than 90% of that growth coming from customers signed in the same period and more than 50 new platform customers added across banking, insurance, securities, government and defense. Its customer base includes the US Department of Defense and intelligence community as well as, according to the company, a leading frontier model provider serving more than 700 million weekly users. The new capital is earmarked for agentic runtime security and for protecting the harnesses around autonomous coding agents.

## Market Context

Enterprise spending on securing AI is growing faster than almost any other line in the security budget, though from a small base. Gartner forecasts the market will reach US$2.84 billion in 2026 and US$4.78 billion in 2027, a 68.7% jump, with the fastest-growing segments being AI usage control at US$433 million in 2026 and AI application security at US$508 million. The firm attributes the surge to access-control weaknesses and prompt injection, which is precisely the threat surface HiddenLayer's newer products address. Even so, the category remains a rounding error against total information security spending, which Gartner has projected in the neighborhood of US$245 billion.

That gap explains both the size of the round and the crowding. Competitors in adjacent corners of AI security, including Noma and Zenity, have each raised more than US$100 million, and the incumbent platforms — Palo Alto Networks, CrowdStrike and Microsoft itself — are building or buying AI security features into products enterprises already own. HiddenLayer's differentiation rests on having started with model-level threats before generative AI became a board-level topic: the company reports 39 granted patents and 65 pending. The presence of Morgan Stanley, M12 and Booz Allen Ventures on the cap table is also a distribution signal, pointing at financial services, the Microsoft ecosystem and federal contracting respectively.

## The Signal

> "Inference is still inference. We haven't had to pivot, but we've had to grow our scope from traditional modeling to GenAI to agentic." — Chris Sestito, Co-founder and CEO, HiddenLayer

## Regional Relevance

For the United States, the round is a marker of where the AI buildout's risk is migrating. Enterprises spent 2024 and 2025 experimenting with models; in 2026 they are wiring agents into systems that can move money, write code and touch customer records, which converts an experimental risk into an operational one. That shift is why HiddenLayer's customer list runs through banks, insurers and defense agencies rather than technology companies alone, and why Gartner sees securing AI as one of the few security segments still accelerating late in the decade. The federal dimension is significant on its own: with the Department of Defense and intelligence agencies among its customers, HiddenLayer sits inside the emerging US government market for AI assurance, a market shaped as much by procurement rules and forthcoming standards as by threat activity.

Austin is the second layer. Texas has built a substantial enterprise security cluster over the past decade, and a US$100 million Series B raised by an Austin company from an out-of-state growth-equity lead, a New York bank and a Washington-area consultancy's venture arm illustrates how distributed the sector's capital has become relative to the Bay Area. For the local market, the round anchors a category — AI-specific security — in which Austin now has one of the largest independent players, with hiring implications for security research talent that Texas has historically exported.

## The Other Side

**Is AI security a product category or a feature?** The uncomfortable precedent is container security and API security, both of which supported independent companies for a few years before being absorbed into broader cloud and network platforms. Microsoft is simultaneously an investor in HiddenLayer through M12 and a competitor building AI guardrails into Azure. HiddenLayer's answer has to be depth that platform vendors cannot match quickly, and the window for proving it is measured in quarters.

**How durable is 10x ARR growth off a small base?** Tens of millions of dollars in ARR growing tenfold means the prior year was small, and more than 90% of growth came from new customers rather than expansion within existing ones. That is a strong land motion but says little about renewal and net expansion, the metrics that determine whether a US$100 million round can be underwritten at a venture-scale outcome.

**What happens if agent deployments stall?** HiddenLayer's next phase of growth is explicitly tied to agentic runtime security and autonomous coding agents. If enterprises slow agent rollouts in response to incidents, cost, or regulatory caution, the demand curve the round is priced against flattens — even though the same caution would, in principle, increase demand for security controls.

## Sources & Transparency

- [HiddenLayer nabs $100M as enterprises rush to secure their AI deployments](https://techcrunch.com/2026/09/02/hiddenlayer-nabs-100m-as-enterprises-rush-to-secure-their-ai-deployments/?ref=theinvestorsociety.com)
- [HiddenLayer Raises $100M Series B to Advance Trustworthy AI](https://www.prnewswire.com/news-releases/hiddenlayer-raises-100m-series-b-to-advance-trustworthy-ai-302867783.html?ref=theinvestorsociety.com)
- [HiddenLayer Raises $100M Series B to Expand AI Agent Security Platform](https://www.unite.ai/hiddenlayer-raises-100m-series-b-to-expand-ai-agent-security-platform/?ref=theinvestorsociety.com)
- [HiddenLayer Raises $100M Series B to Advance Trustworthy AI](https://cioinfluence.com/security/hiddenlayer-raises-100m-series-b-to-advance-trustworthy-ai/?ref=theinvestorsociety.com)