Startups

Rezilion raises $30M to help security operations teams with tools to automate their busywork

Comment

Digital security padlock with encrypted binary code on abstract circuit board.
Image Credits: Yuichiro Chino / Getty Images

Security operations teams face a daunting task these days, fending off malicious hackers and their increasingly sophisticated approaches to cracking into networks. That also represents a gap in the market: building tools to help those security teams do their jobs. Today, an Israeli startup called Rezilion that is doing just that — building automation tools for DevSecOps, the area of IT that addresses the needs of security teams and the technical work that they need to do in their jobs — is announcing $30 million in funding.

Guggenheim Investments is leading the round, with JVP and Kindred Capital also contributing. Rezilion said that unnamed executives from Google, Microsoft, CrowdStrike, IBM, Cisco, PayPal, JP Morgan Chase, Nasdaq, eBay, Symantec, RedHat, RSA and Tenable are also in the round. Previously, the company had raised $8 million.

Rezilion’s funding is coming on the back of strong initial growth for the startup in its first two years of operations.

Its customer base is made up of some of the world’s biggest companies, including two of the “Fortune 10” (the top 10 of the Fortune 500). CEO Liran Tancman, who co-founded Rezilion with CTO Shlomi Boutnaru, said that one of those two is one of the world’s biggest software companies, and the other is a major connected device vendor, but he declined to say which. (For the record, the top 10 includes Amazon, Apple, Alphabet/Google, Walmart and CVS.)

Tancman and Boutnaru had previously co-founded another security startup, CyActive, which was acquired by PayPal in 2015; the pair worked there together until leaving to start Rezilion.

It’s time for security teams to embrace security data lakes

There are a lot of tools out in the market now to help automate different aspects of developer and security operations. Rezilion focuses on a specific part of DevSecOps: Large businesses have over the years put in place a lot of processes that they need to follow to try to triage and make the most thorough efforts possible to detect security threats. Today, that might involve inspecting every detected vulnerabilty to determine what the implications might be.

The problem is that with the volume of information coming in, taking the time to inspect and understand each detected vulnerabilty can put enormous strain on an organization: It’s time-consuming, and, as it turns out, not the best use of that time because of the signal to noise ratio involved. Typically, each vulnerability can take 6-9 hours to properly investigate, Tancman said. “But usually about 70-80% of them are not exploitable,” meaning they may be bad for some, but not for this particular organization and the code it’s using today. That represents a very inefficient use of the security team’s time and energy.

“Eight of out 10 patches tend to be a waste of time,” Tancman said of the approach that is typically made today. He believes that as its platform to grow and its knowledge and solution becomes more sophisticated, “it might soon be nine out of 10.”

Rezilion has built a taxonomy and an AI-based system that essentially does that inspection work as a human would do: It spots any new, or suspicious, code, figures out what it is trying to do, and runs it against a company’s existing code and systems to see how and if it might actually be a threat to it or create further problems down the line. If it’s all good, it essentially whitelists the code. If not, it flags it to the team.

The stickiness of the product has come out of how Tancman and Boutnaru understand large enterprises, especially those heavy with technology stacks, operate these days in what has become a very challenging environment for cybersecurity teams.

“They are using us to accelerate their delivery processes while staying safe,” Tancman said. “They have strict compliance departments and have to adhere to certain standards,” in terms of the protocols they take around security work, he added. “They want to leverage DevOps to release that.”

He said Rezilion has generally won over customers in large part for simply understanding that culture and process and helping them work better within that: “Companies become users of our product because we showed them that, at a fraction of the effort, they can be more secure.” This has special resonance in the world of tech, although financial services, and other verticals that essentially leverage technology as a significant foundation for how they operate, are also among the startup’s user base.

Down the line, Rezilion plans to add remediation and mitigation into the mix to further extend what it can do with its automation tools, which is part of where the funding will be going, too, Boutnaru said. But he doesn’t believe it will ever replace the human in the equation altogether.

“It will just focus them on the places where you need more human thinking,” he said. “We’re just removing the need for tedious work.”

In that grand tradition of enterprise automation, then, it will be interesting to watch which other automation-centric platforms might make a move into security alongside the other automation they are building. For now, Rezilion is forging out an interesting enough area for itself to get investors interested.

“Rezilion’s product suite is a game changer for security teams,” said Rusty Parks, senior MD of Guggenheim Investments, in a statement. “It creates a win-win, allowing companies to speed innovative products and features to market while enhancing their security posture. We believe Rezilion has created a truly compelling value proposition for security teams, one that greatly increases return on time while thoroughly protecting one’s core infrastructure.”

Updated to note that Rezilion doesn’t use AI but instead reverse engineers the code: the company believes machine learning creates too many false positives.

More TechCrunch

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

At its Google I/O developer conference, Google on Tuesday announced the next generation of its Tensor Processing Units (TPU) AI chips.

Google’s next-gen TPUs promise a 4.7x performance boost

Google is upgrading Gemini, its AI-powered chatbot, with features aimed at making the experience more ambient and contextually useful.

Google’s Gemini updates: How Project Astra is powering some of I/O’s big reveals