A New Company Just Raised $100 Million to Put Guard Rails on AI Inside Big Businesses
Neo stepped out of secrecy this week with a nine-figure war chest and a pitch that enterprise AI, meaning the AI tools large companies use internally, is already running ahead of anyone's ability to control it.

Key points
- Neo, a cybersecurity startup, raised $100 million across seed and Series A funding rounds as of 2025.
- Backers include Andreessen Horowitz and Bessemer Venture Partners, two of Silicon Valley's most prominent investment firms.
- The company's focus is controlling and securing AI software that large organisations deploy internally.
- Neo emerged from stealth, meaning it built its product in private before going public, only this week.
A new security company called Neo just came out of hiding with $100 million in the bank and one job to do: stop enterprise AI from becoming a liability before companies even notice it has.
The funding came in two stages, a seed round and a Series A round (a slightly larger, later-stage investment), with money from Andreessen Horowitz and Bessemer Venture Partners among others, as first reported by SecurityWeek. Those are not names that bet small or early on uncertain ideas, which tells you something about how seriously the investor class is taking the problem Neo is pitching.
What problem is Neo actually solving?
The short answer is that big companies are deploying AI tools fast and governance, meaning the rules and controls that decide what those tools can see, do, and say, is lagging badly.
In practice, this plays out in ways that are uncomfortable. An AI assistant gets connected to internal documents it should not touch. A coding tool trained on company source code starts leaking patterns that a competitor could use. An automated workflow makes decisions about customers without a human checking the output. None of this requires a criminal to cause harm. The failure mode here is speed: companies adopt AI faster than their security and legal teams can keep up.
Neo is positioning itself in that gap. The pitch is a platform that gives organisations visibility into what their AI software is doing and lets them enforce policies around it, which cloud services it can call, what data it can read, who can approve its actions.
This is genuinely hard to do. AI applications do not behave like traditional software. They make probabilistic decisions, meaning they do not follow a fixed set of steps every time. Standard security tools, the kind built to watch databases and web servers, were not designed for this.
That said, the space is getting crowded. Several well-funded startups are making nearly identical claims right now, and the big cloud vendors, Amazon Web Services, Google Cloud, and Microsoft Azure, are all building their own AI governance features. Neo will need to show it can do something those platforms cannot, or will not, do for customers.
One thing the post-mortem will say, if this category struggles, is that the market was sold control before the product existed to deliver it.
If your company is rolling out AI tools, ask your IT team one concrete question: what data can those tools access, and who approved that list?



