What’s funding like in the AI governance market right now?

All funding deals in the AI governance market over the last 24 months

Below is the table listing all the deals. You can find our methodology at the end of this page.

If you want a deeper understanding of the market and its current dynamics, get our report covering the AI Governance Market.

Is AI governance funding actually healthier than it was a year ago?

Yes. AI governance funding looks clearly healthier today, with more deals, more funded companies and much larger rounds than a year earlier.

We counted 56 financings in the latest 12 months, up from 38, while the number of funded companies rose from 36 to 52. Total capital reached $1.23 billion versus $481 million, and the median round increased from $7 million to $10 million.

More importantly, several parts of the market improved at the same time. First financings increased from 20 to 25. Follow-ons rose from 18 to 31. Series A became much more common, and Series B and C rounds finally started to represent a meaningful share of the market.

The biggest change is where the extra money went. Most of it flowed into companies that had already raised before. AI governance is still creating new funded startups, but it now has a much larger group of companies moving into institutional-scale financing.

Metric	Latest 12 months	Previous 12 months	Change
Deals	56	38	+47.4%
Unique companies	52	36	+44.4%
Total capital	$1.233B	$481.1M	+156.2%
Median round	$10.0M	$7.0M	+42.9%
Average round	$22.0M	$12.7M	+73.9%
First financings	25	20	+25.0%
Follow-ons	31	18	+72.2%
Follow-on share	55.4%	47.4%	+8.0 pp
Later-stage deal share	10.7%	2.6%	+8.1 pp

Would AI governance funding still look strong without the huge rounds?

Yes. The AI governance funding increase easily survives the megaround test.

Total funding increased 156%, but removing every round above $50 million still leaves $637.7 million invested in the latest period versus $381.1 million previously, a 67% increase. Removing rounds above $100 million still leaves funding more than twice as high as a year earlier.

Concentration also fell at the very top. The largest deal accounted for 10.1% of current funding versus 20.8% previously, while the top three fell from 41.6% to 27.4%.

That happened even though big rounds became far more common. Zenity raised $125 million, Onyx Security $113 million, HiddenLayer $100 million, Neo $75 million, Straiker $64 million, Arcade.dev $60 million and WitnessAI $58 million. Last year, Noma Security's $100 million financing alone represented about one-fifth of the market.

AI governance now has several companies capable of raising very large rounds, rather than one exceptional transaction carrying the year.

Outlier test	Latest 12 months	Previous 12 months
Total capital	$1.233B	$481.1M
Capital excluding >$100M	$994.7M	$481.1M
Capital excluding >$50M	$637.7M	$381.1M
Largest deal / total capital	10.1%	20.8%
Top 3 / total capital	27.4%	41.6%
Top 5 / total capital	38.7%	52.6%
Top 10 / total capital	58.8%	69.7%
>$50M rounds	7	1

Are more AI governance companies actually getting funded now?

Yes. AI governance funding is reaching many more companies now, so the growth is broad rather than confined to a small group of repeat raisers.

We found 52 funded companies in the latest period compared with 36 a year earlier. That 44% increase is very close to the 47% rise in deal count, which tells us the extra transactions were spread across a much larger company base.

Repeat fundraising did increase, but only four companies completed multiple financings during the latest period versus two previously. That is nowhere near enough to explain the jump in activity.

The geographic footprint widened too. Current financings reached companies across the US, Israel, the UK, Spain, France, South Korea, Denmark, Australia, Italy, Japan and the Netherlands. A year earlier, the market was much more heavily centered on the US.

For now, the clearest reading is that AI governance has added both new funded companies and a stronger repeat-fundraising layer.

Are investors still backing new AI governance startups, or mostly existing winners?

They are doing both, but existing AI governance companies captured almost all of the extra money.

First financings increased from 20 to 25, and their median size rose from $5.75 million to $7 million. New-company funding therefore remains healthy in absolute terms. The share of first financings fell from 52.6% to 44.6% simply because follow-ons expanded much faster.

The difference becomes huge when we look at dollars. First financings attracted $209.5 million, up from $150 million. Follow-on capital jumped from $331 million to $1.02 billion.

The median follow-on also rose from $9 million to $28 million. Zenity, Onyx Security, HiddenLayer, Arcade.dev, Straiker and WitnessAI are all examples of companies moving into much larger institutional rounds after earlier financing.

Investors are still creating new AI governance startups. Once a company shows enough traction to come back to market, though, much more capital is available than a year ago.

Funding path	Latest 12 months	Previous 12 months	Change
First financings	25	20	+25.0%
First-financing share	44.6%	52.6%	-8.0 pp
First-financing capital	$209.5M	$150.0M	+39.7%
Median first financing	$7.0M	$5.75M	+21.7%
Follow-ons	31	18	+72.2%
Follow-on share	55.4%	47.4%	+8.0 pp
Follow-on capital	$1.023B	$331.1M	+209.0%
Median follow-on	$28M	$9M	+211.1%

Are tiny AI governance rounds disappearing as Series A takes over?

Small AI governance rounds are losing ground, while $20 million-plus rounds and Series A financings are becoming much more normal.

Rounds below $5 million fell from 36.8% of transactions to 21.4%. Meanwhile, the $20 million to $50 million bucket jumped from 7.9% to 19.6%.

The stage data tells the same story. Seed still accounts for 62.5% of all deals, with 35 financings versus 30 previously, so early-stage creation remains active. But Series A increased from five deals to 13 and now represents 23.2% of the market. Its median round reached $30 million.

Series B and C have also become meaningful. Together they absorbed almost 39% of current capital, compared with only one recorded later-stage financing in the previous period.

That is the market maturing in plain sight: plenty of seeds are still being written, while a growing group of companies has moved into $20 million, $50 million and $100 million financing territory.

Financing bucket	Latest period	Previous period	Change
<$5M deal share	21.4%	36.8%	-15.4 pp
$5M–<$20M deal share	44.6%	47.4%	-2.7 pp
$20M–<$50M deal share	19.6%	7.9%	+11.7 pp
$50M–<$100M deal share	8.9%	5.3%	+3.7 pp
$100M+ deal share	5.4%	2.6%	+2.7 pp
Seed deal share	62.5%	78.9%	-16.4 pp
Series A deal share	23.2%	13.2%	+10.0 pp
Series B/C deal share	10.7%	2.6%	+8.1 pp

Which AI governance categories are getting the most funding now?

AI policy enforcement and broader governance platforms are taking over the market.

Together, these two categories represented 78.6% of current deals and 83.1% of capital. Policy Enforcement alone grew from 14 to 26 financings and from roughly $243 million to $689 million. Governance Platforms expanded from seven financings to 18 and increased funding more than sixfold to $336 million.

The products getting funded also tell us what investors currently want. Arcade.dev governs which actions agents are allowed to execute. Willow gives agents identities and scoped permissions. Straiker combines adversarial testing with runtime enforcement. Zenity inventories agents and controls their behavior. AIR Security checks the skills, plugins and MCP servers agents use.

Traditional assurance and audit categories went the other way. AI Assurance Services dropped from nine deals to four, while AI Audit Software fell from six to two. The remaining transactions were often bigger: Assurance Services had a $20 million median round, and two current Audit Software financings raised almost as much total capital as six did previously.

Standalone compliance tools remain a small part of the market. The money is increasingly going to products that turn governance into a continuous operating layer around deployed AI.

Category	Latest deal share	Previous deal share	Latest capital share	Previous capital share
AI Policy Enforcement	46.4%	36.8%	55.9%	50.6%
AI Governance Platforms	32.1%	18.4%	27.3%	11.6%
AI Assurance Services	7.1%	23.7%	6.6%	28.2%
AI Audit Software	3.6%	15.8%	3.1%	8.0%
Governance Evidence Tools	7.1%	2.6%	6.3%	0.3%
AI Compliance Tools	3.6%	2.6%	1.0%	1.4%
Policy Enforcement + Platforms	78.6%	55.3%	83.1%	62.2%

Do AI governance startups need more proof to raise a big round now?

For the largest AI governance rounds, yes: investors are increasingly funding companies that can point to real enterprise adoption and fast commercial growth.

Onyx Security said revenue had quadrupled in four months when it announced its $113 million Series B. HiddenLayer reported more than 10-fold ARR growth over the previous year and more than 50 new platform customers around its $100 million Series B. WitnessAI said ARR had grown more than 500% before its $58 million financing.

Fiddler reported more than fourfold revenue growth over 18 months when it raised its $30 million Series C. Straiker said run-rate revenue had increased more than 15-fold in less than a year before announcing its $64 million Series A.

Those examples sit at the larger end of the market, so we should not pretend every seed investor now demands the same proof. Seed activity remains high. But the bar for the biggest rounds is pretty clear: companies raising tens or hundreds of millions are usually showing customers, revenue growth or serious production adoption alongside the technology.

Are corporate investors becoming a bigger force in AI governance?

Yes. Corporate and strategic investors are showing up much more often in AI governance, especially once companies reach Series A and beyond.

Strategic-backed deals increased from six to 16, taking participation from 15.8% to 28.6%. Their median financing rose from $8.8 million to $30 million.

The stage mix changed sharply. Only a quarter of current strategic-backed transactions are Seed. Series A represents 43.8%, Series B 18.8% and Series C 12.5%.

WitnessAI's $58 million round included Qualcomm Ventures and Samsung Ventures. Zenity's $125 million Series C included Hitachi Ventures, LG Technology Ventures and Intel Capital. Straiker's $64 million Series A included Citi Ventures and Workday Ventures. Arcade.dev's $60 million Series A brought in Morgan Stanley and Wipro.

At the same time, the investor pool widened. We counted 58 unique disclosed lead investors versus 40 previously, while the number appearing more than once increased from two to six. Bessemer Venture Partners, SYN Ventures, Hetz Ventures, Norwest, a16z and Ugly Duckling Ventures all appeared repeatedly.

AI governance is currently attracting newcomers while also developing a more recognizable group of repeat backers.

Is AI governance becoming global, or is this still mostly a US funding market?

AI governance is becoming much more global by company count, but the biggest money is still overwhelmingly American.

North America's share of deals fell from 71.1% to 55.4%, showing that a much larger part of the company base now sits elsewhere. Yet North America's share of capital increased from 73.5% to 80.6%.

The US produced 31 current financings worth about $993 million, and its median round rose to $18 million from $7 million.

Europe shows almost the mirror image. Its deal share increased from 15.8% to 23.2%, but its 13 financings captured only 8.7% of capital. Europe is producing more funded governance startups, though they are generally raising smaller rounds.

Israel doubled from four deals to eight. Its median financing fell from $19.5 million to $9 million, so the improvement there came mainly from breadth.

As of now, AI governance has become international at the startup layer while the US remains far ahead in large-scale funding.

Are AI governance companies raising again faster than before?

Probably not. The AI governance companies we can track are coming back to market in roughly ten months, almost identical to the previous period.

The current median interval between reconstructable rounds is 9.8 months versus 9.5 months previously. That difference is far too small to call a meaningful acceleration.

Coverage is also weak. We could reconstruct the previous round for only 11 of 31 current follow-ons, and the comparison period contains just two usable observations.

Round size is more interesting than timing. The 11 current repeat raisers we can track had a median step-up of 3.05 times, and every one of those observed financings was more than twice the size of the previous round.

Neo and AIR Security also have unusually compressed financing sequences, while some companies announced multiple rounds together. We therefore put little weight on exact fundraising speed. The safer conclusion is that the repeat raisers we can observe are returning for substantially larger checks.

What are AI governance companies raising money to do now?

Large AI governance companies are increasingly raising to expand sales, deploy globally and deepen production infrastructure at the same time.

Onyx Security said its $113 million round would fund new proprietary models and enterprise go-to-market expansion. WitnessAI described its $58 million financing as supporting global go-to-market and product expansion. HiddenLayer said its $100 million Series B would deepen its enterprise platform, expand agentic runtime security and help meet growing demand.

Straiker linked its $64 million Series A to product development, threat research and international expansion. Arcade.dev said its $60 million round would fund more tools, deeper governance capabilities and broader reach.

That mix is quite different from a market dominated by startups raising a few million dollars to build an initial product. These days, some of the biggest AI governance rounds are funding the operational work required to serve large enterprises at scale.

We cannot calculate a clean market-wide use-of-funds percentage because companies do not disclose this information consistently. The pattern is strongest among the larger rounds, where the shift toward commercialization is hard to miss.

Why is runtime AI governance attracting so much money right now?

Runtime AI governance is getting funded because AI agents can increasingly take actions inside real company systems, which creates a much harder control problem than monitoring a chatbot.

When an AI agent can access files, call tools, change records, execute code or communicate with outside systems, companies need to control what happens before an action is completed. That pushes governance toward permissions, identity, real-time policy enforcement and auditable execution.

The companies attracting capital line up closely with that problem. Arcade.dev checks agent actions against user permissions. Willow gives each agent scoped access and ties activity back to a human. CodeIntegrity enforces policy before tool calls. Capsule Security and Tenet Security focus on pre-execution controls. Zenity and Straiker combine visibility with active runtime protection.

Recent Gartner work on agent governance has been pointing in the same direction, emphasizing active oversight, control and governance as companies put autonomous systems into production.

The market is currently valuing governance that can intervene while AI is operating, rather than governance that only produces documentation after the fact.

Did the EU AI Act cause the AI governance funding boom?

The EU AI Act probably helped demand for AI governance, especially in Europe, but the funding pattern is much bigger than regulation alone.

The regulatory environment became more concrete during the period. AI Act governance and general-purpose AI provisions had already started applying in 2025, and further enforcement powers and transparency requirements began applying on 2 August 2026.

That gives European companies a clearer reason to invest in AI inventories, risk controls, documentation, oversight and compliance evidence. The timing also overlaps with Europe's increase from 15.8% to 23.2% of global AI governance deals.

The capital data, however, points well beyond European compliance. More than 80% of current funding still went to North America, and several of the largest rounds were for agent permissions, runtime security and enterprise control layers.

Regulation is one tailwind. The bigger story combines new legal obligations with rapid enterprise AI deployment and the much harder governance problems created by autonomous agents.

Is the recent AI governance funding acceleration broad, or did everything happen at the end?

The AI governance funding improvement is broad enough to be credible, although activity became much hotter late in the period.

Every rolling monthly interval in the latest 12 months contained at least one financing, compared with two empty months previously. Average monthly deal count increased from 3.17 to 4.67, while median monthly capital rose from $16.5 million to $43.7 million.

The latest part of the period was especially busy. The final four rolling monthly buckets accounted for 33 of the 56 financings, almost 59% of the year's total.

That recent surge ran across four consecutive periods rather than one freak month. It gives the market real momentum as of now, while also making one thing worth watching: a large part of the improvement is still fairly recent.

Can we really tell whether funded AI governance companies are getting older or more proven?

We can see stronger commercial proof in the biggest rounds, but company age itself is too poorly recorded to support a serious market-wide conclusion.

The main problem is a corrupted founding-year field. Thirty-eight of 56 current rows and 32 of 38 previous rows contain "2009", including companies that clearly did not exist then. Onyx Security's own announcement, for example, says the company was founded two years before its 2026 financing.

Once those bad values are removed, usable founding-year coverage falls to only 15 current financings and six previous ones. The small remaining sample actually has a current median age of one year versus 1.5 years previously.

Previous-round information has similar limitations. Exact earlier financing dates and sizes can be reconstructed for only about 35% of current follow-ons and 11% of previous follow-ons.

We therefore trust the capital, deal count, stage, category and geography conclusions much more than company-age or fundraising-speed comparisons. Where the underlying public evidence is thin, we leave the uncertainty visible.

What really changed in AI governance funding over the last 12 months?

AI governance has moved into a new funding phase: more companies are getting financed, while the companies that already proved themselves can now raise dramatically larger rounds.

The increase goes well beyond headline dollars. Deal count, funded-company count, first financings and median round size all improved, and the result remains strong after removing the largest transactions.

Most of the new capital went to follow-ons. As seen above, first-time funding is still growing, but the biggest structural jump happened among existing companies moving into Series A, B and C rounds.

Money also moved toward a specific type of product. Runtime policy enforcement, agent permissions, governance platforms and active control layers gained heavily, while standalone audit and assurance products lost deal breadth.

The investor base looks more established too. More lead investors entered the market, repeat investors became more common, and corporate participation moved increasingly into larger rounds.

Finally, the biggest financings now tend to come with commercial evidence: rapid revenue growth, large enterprise deployments, customer expansion and plans for global scaling. AI governance still has plenty of young startups, but the top of the market today looks much more like a scaling software category than an experimental one.