Startups

SentinelOne raises $120M for its fully autonomous, AI-based endpoint security solution

Comment

Image Credits: Hywards / Getty Images

Endpoint security — the branch of cybersecurity that focuses on data coming in from laptops, phones, and other devices connected to a network — is an $8 billion dollar market that, due to the onslaught of network breaches, is growing fast. To underscore that demand, one of the bigger startups in the space is announcing a sizeable funding round.

SentinelOne, which provides real-time endpoint protection on laptops, phones, containers, cloud services and most recently IoT devices on a network through a completely autonomous, AI-based platform, has raised $120 million in a Series D round — money that it will be using to continue expanding its current business as well as forge into new areas such as building more tools to automatically detect and patch software running on those endpoints, to keep them as secure as possible.

The funding was led by Insight Partners, with Samsung Venture Investment Corporation, NextEquity participating, alongside all of the company’s existing investors, which include the likes of Third Point Ventures, Redpoint Ventures, Data Collective, Sound Ventures and Ashton Kutcher, Tiger Global, Granite Hill and more.

SentinelOne is not disclosing its valuation with this round, but CEO and co-founder Tomer Weingarten confirmed it was up compared to its previous funding events. SentinelOne has now raised just shy of $230 million, and PitchBook notes that in its last round, it was valued at $210 post-money.

That would imply that this round values SentinelOne at more than $330 million, and we understand that it’s more like $500 million:

“We are one of the youngest companies working in endpoint security, but we also have well over 2,000 customers and 300% growth year-on-year,” Weingarten said. And working in the area of software-as-a-service with a fully-automated solution that doesn’t require humans to run any aspect of it, he added, “means we have high margins.”

The rise in cyberattacks resulting from malicious hackers exploiting human errors — such as clicking on phishing links; or bringing in and using devices from outside the network running software that might not have its security patches up to date — has resulted in a stronger focus on endpoint security and the companies that provide it.

Indeed, SentinelOne is not alone. Crowdstrike, another large startup in the same space as SentinelOne, is now looking at a market cap of at least $4 billion when it goes public. Carbon Black, which went public last year, is valued at just above $1 billion. Another competitor, Cylance, was snapped up by BlackBerry for $1.5 billion.

Weingarten — who cofounded the company with Almog Cohen (CTO) — says that SentinelOne differs from its competitors in the field because of its focus on being fully autonomous.

“We’re able to digest massive amounts of data and run machine learning to detect any type of anomaly in an automated manner,” he said, describing Crowdstrike as “tech augmented by services.” That’s not to say SentinelOne is completely without human options (options being the key word; they’re not required): it offers its own managed services under the brand name of Vigilance and works with system integrator partners to sell its products to enterprises.

There is another recurring issue with endpoint security solutions, which is that they are known to throw up a lot of false positives — items that are not recognized by the system that subsequently get blocked, which turn out actually to be safe. Weingarten admits that this is a by-product of all these systems, including SentinelOne’s.

“It’s a result of opting to use a heuristic rather than deterministic model,” he said, “but there is no other way to deal with anomalies and unknowns without heuristics, but yes with that comes false positives.” He pointed out that the company’s focus on machine learning as the basis of its platform helps it to more comprehensively ferret these out and make deductions on what might not otherwise have proper representation in its models. Working for a pilot period at each client also helps inform the algorithms to become more accurate ahead of a full rollout.

All this has helped bring down SentinelOne’s own false positive rate, which Weingarten said is around 0.04%.

“Endpoint security is at a fascinating point of maturity, highlighting a massive market opportunity for SentinelOne’s technology and team,” said Teddie Wardi, Managing Director, Insight Partners, in a statement. “Attack methods grow more advanced by the day and customers demand innovative, autonomous technology to stay one step ahead. We recognize SentinelOne’s strong leadership team and vision to be unique in the market, as evidenced through the company’s explosive growth and highly differentiated business model from its peer cybersecurity companies.”

By virtue of digesting activity across millions of endpoints and billions of events among its customers, SentinelOne has an interesting vantage point when it comes to seeing the biggest problems of the moment.

Weingarten notes that one big trend is that the biggest attacks are now not always coming from state-sponsored entities.

“Right now we’re seeing how fast advanced techniques are funnelling down from government-sponsored attackers to any cyber criminal. Sophisticated malicious hacking can now come from anywhere,” he said.

When it comes to figuring out what is most commonly creating vulnerabilities at an organization, he said it was the challenge of keeping up to date with security patches. Unsurprisingly, it’s something that SentinelOne plans to tackle with a new product later this year — one reason for the large funding round this time around.

“Seamless patching is absolutely something that we are looking at,” he said. “We already do vulnerability assessments today and so we have the data to tell you what is out of date. The next logical step is to seamlessly track those apps and issue the patches automatically.”

Indeed it’s this longer term vision of how the platform will be developing, and how it’s moving in response to what the current threats are today, that attracted the backers. (Indeed the IoT element of the “endpoint” focus is a recent additions.

“SentinelOne’s combination of best-in-class EPP and EDR functionality is a magnet for engagement, but it’s the company’s ability to foresee the future of the endpoint market that attracted us as a technology partner,” a rep from Samsung Venture Investment Corporation said in a statement. “Extending tech stacks beyond EPP and EDR to include IoT is the clear next step, and we look forward to collaborating with SentinelOne on its groundbreaking work in this area.

Updated with more detail on funding and founder list.

More TechCrunch

For over six decades, the nonprofit has been active in the financial services sector.

Accion’s new $152.5M fund will back financial institutions serving small businesses globally

Meta’s newest social network, Threads is starting its own fact-checking program after piggybacking on Instagram and Facebook’s network for a few months. Instagram head Adam Mosseri noted that the company…

Threads finally starts its own fact-checking program

Looking Glass makes trippy-looking mixed-reality screens that make things look 3D without the need of special glasses. Today, it launches a pair of new displays, including a 16-inch mode that…

Looking Glass launches new 3D displays

Replacing Sutskever is Jakub Pachocki, OpenAI’s director of research.

Ilya Sutskever, OpenAI co-founder and longtime chief scientist, departs

Intuitive Machines made history when it became the first private company to land a spacecraft on the moon, so it makes sense to adapt that tech for Mars.

Intuitive Machines wants to help NASA return samples from Mars

As Google revamps itself for the AI era, offering AI overviews within its search results, the company is introducing a new way to filter for just text-based links. With the…

Google adds ‘Web’ search filter for showing old-school text links as AI rolls out

Blue Origin’s New Shepard rocket will take a crew to suborbital space for the first time in nearly two years later this month, the company announced on Tuesday.  The NS-25…

Blue Origin to resume crewed New Shepard launches on May 19

This will enable developers to use the on-device model to power their own AI features.

Google is building its Gemini Nano AI model into Chrome on the desktop

It ran 110 minutes, but Google managed to reference AI a whopping 121 times during Google I/O 2024 (by its own count). CEO Sundar Pichai referenced the figure to wrap…

Google mentioned ‘AI’ 120+ times during its I/O keynote

Firebase Genkit is an open source framework that enables developers to quickly build AI into new and existing applications.

Google launches Firebase Genkit, a new open source framework for building AI-powered apps

In the coming months, Google says it will open up the Gemini Nano model to more developers.

Patreon and Grammarly are already experimenting with Gemini Nano, says Google

As part of the update, Reddit also launched a dedicated AMA tab within the web post composer.

Reddit introduces new tools for ‘Ask Me Anything,’ its Q&A feature

Here are quick hits of the biggest news from the keynote as they are announced.

Google I/O 2024: Here’s everything Google just announced

LearnLM is already powering features across Google products, including in YouTube, Google’s Gemini apps, Google Search and Google Classroom.

LearnLM is Google’s new family of AI models for education

The official launch comes almost a year after YouTube began experimenting with AI-generated quizzes on its mobile app. 

Google is bringing AI-generated quizzes to academic videos on YouTube

Around 550 employees across autonomous vehicle company Motional have been laid off, according to information taken from WARN notice filings and sources at the company.  Earlier this week, TechCrunch reported…

Motional cut about 550 employees, around 40%, in recent restructuring, sources say

The keynote kicks off at 10 a.m. PT on Tuesday and will offer glimpses into the latest versions of Android, Wear OS and Android TV.

Google I/O 2024: Watch all of the AI, Android reveals

Google Play has a new discovery feature for apps, new ways to acquire users, updates to Play Points, and other enhancements to developer-facing tools.

Google Play preps a new full-screen app discovery feature and adds more developer tools

Soon, Android users will be able to drag and drop AI-generated images directly into their Gmail, Google Messages and other apps.

Gemini on Android becomes more capable and works with Gmail, Messages, YouTube and more

Veo can capture different visual and cinematic styles, including shots of landscapes and timelapses, and make edits and adjustments to already-generated footage.

Google Veo, a serious swing at AI-generated video, debuts at Google I/O 2024

In addition to the body of the emails themselves, the feature will also be able to analyze attachments, like PDFs.

Gemini comes to Gmail to summarize, draft emails, and more

The summaries are created based on Gemini’s analysis of insights from Google Maps’ community of more than 300 million contributors.

Google is bringing Gemini capabilities to Google Maps Platform

Google says that over 100,000 developers already tried the service.

Project IDX, Google’s next-gen IDE, is now in open beta

The system effectively listens for “conversation patterns commonly associated with scams” in-real time. 

Google will use Gemini to detect scams during calls

The standard Gemma models were only available in 2 billion and 7 billion parameter versions, making this quite a step up.

Google announces Gemma 2, a 27B-parameter version of its open model, launching in June

This is a great example of a company using generative AI to open its software to more users.

Google TalkBack will use Gemini to describe images for blind people

Google’s Circle to Search feature will now be able to solve more complex problems across psychics and math word problems. 

Circle to Search is now a better homework helper

People can now search using a video they upload combined with a text query to get an AI overview of the answers they need.

Google experiments with using video to search, thanks to Gemini AI

A search results page based on generative AI as its ranking mechanism will have wide-reaching consequences for online publishers.

Google will soon start using GenAI to organize some search results pages

Google has built a custom Gemini model for search to combine real-time information, Google’s ranking, long context and multimodal features.

Google is adding more AI to its search results