Tech
Vega raises $120M Series B to rethink how enterprises detect cyber threats
Modern enterprises generate enormous amounts of security data, but legacy tools like Splunk still require companies to store all of it in one place before they can detect threats — a slow and costly process that’s increasingly breaking down in cloud environments where volumes are exploding and data lives everywhere.
AI cybersecurity startup Vega Security wants to flip that approach by running security where the data already lives, implementing in cloud services, data lakes, and existing storage systems. And the two-year-old firm just raised a $120 million Series B round to scale that vision, TechCrunch has exclusively learned.
Led by Accel with participation from Cyberstarts, Redpoint, and CRV, the new round nearly doubles Vega’s valuation to $700 million, and brings its total funding to $185 million, money the startup will use to further develop its AI-native security operations suite, beef up its go-to-market team, and expand globally.
Shay Sandler, co-founder and CEO of Vega, told TechCrunch that the current operating model of the SIEM (security information and event management) — the dominant technology in this domain for the last two decades — is not only “crazy expensive,” but is also increasingly causing AI-native security operations to fail. In complex cloud environments, he says, the current model often increases exposure to threat actors.
“Vega has defined a new operating model that enables organizations to leverage the full potential of their enterprise data to achieve incident response readiness, without all the complexity, the cost, the drama,” Sandler told TechCrunch. “We want to simply enable them to reach AI-native detection response capability anywhere the data is, at scale.”
Like so many cybersecurity founders, Sandler did his time in the Israeli military’s cybersecurity unit before being one of the founding employees behind Granulate, which Intel acquired for $650 million in 2022. After a year at Intel, Sandler decided to “do it big time in the cybersecurity world.”
That pedigree is partly what attracted the attention of Andrei Brasoveanu, a partner at Accel. But it was also Vega’s ambitious approach to security management in a market that is already dominated by one player: Splunk.
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Brasoveanu told TechCrunch that legacy SIEM companies like Splunk, which Cisco acquired in 2024 for $28 billion, have been criticized in recent years because their solutions are difficult to scale. They fail at processing the insane rise of data volumes driven by AI.
“Splunk and every contender since has always centralized the data, but by doing that you essentially hold the customer hostage,” Brasoveanu said.
However, sometimes it’s easier to hate the status quo than do the work of making a switch to a better alternative, a quandary any startup attempting to breach enterprise budgets understands. That’s why Sandler says Vega’s “North Star” was to not only build a solution that is more cost effective and better at threat detection, but “to make it no drama, as simple as possible for the biggest, most complex enterprises in the world to adopt it within minutes.”
Vega’s approach seems to be working. The 100-person startup has already signed multimillion-dollar contracts with banks, healthcare companies, and Fortune 500 firms, including cloud-heavy companies like Instacart.
“The only reason they would do that with a two-year-old startup is because the problem is so painful and other solutions on the market require an unrealistic expectation that the enterprise change the way they operate or do two years of data migrations,” Sandler said. “Vega enables them to just plug and play and achieve immediate detection response value.”
Tech
Primary Ventures raises healthy $625M Fund V to focus on seed investing
Primary Ventures has closed a $625 million Fund V focused on seed investing nationwide, which is a sizable fund for a firm that focuses solely on early-stage investing. It perhaps showcases how the size of early-stage rounds has dramatically increased in the age of AI.
Ben Sun, a co-founder and general partner at Primary Ventures, told TechCrunch the average check size for this fund will range from $5 million to $10 million, and he hopes the firm will invest in 40 to 50 companies over the course of three years. He said the fund will also go as early as pre-seed.
The fund will also continue to spread its investments nationwide. Primary is one of New York’s most well-known venture firms, and at one point, most of its investments were focused in the Big Apple. Sun said the location thesis has changed.
The firm, which overall focuses on early-stage investing, has now done deals in Chicago, Seattle, Virginia, and D.C. “The talent, the founder, and the startups are happening everywhere,” he said. “The potential outcomes are so much bigger than they’ve ever been.”
He sees seed investing as headed toward its own asset class, especially as the quality of talent and their startups continue to rise, paired with tech’s current transformation. Firms are competing, after all, to find the hottest deals. “I think [a fund of this size] allows you to go in and compete and bring more resources to the table to work with the best founders and opportunities.”
Sequoia also recently raised a $200 million seed fund, as did Uncork Capital, which announced a $225 million seed fund earlier last year.
Though Primary calls itself a generalist, Sun said the firm has sector specialists, each with their own focus. He likes consumer, but also has investors focused on vertical AI, fintech, healthcare, enterprise, cybersecurity, and infrastructure. “We pretty much cover probably 80% or 90% of the seed sector activities out there.”
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Fund V has already invested in three companies. Primary previously raised $60 million in Fund I when it launched in 2015, followed by $100 million in Fund II and $150 million in Fund III.
It raised a $275 million fund and an additional $163 million for an opportunity fund. Some of its investments include the AI chip company Etched, the risk management platform Alloy, the women’s networking hub Chief, and the AI marketplace Dandelion Health. It has $1.65 billion in assets under management.
Tech
Spotify hits a record 751M monthly users thanks to Wrapped, new free features
Swedish music streaming giant Spotify saw its user numbers peak last quarter, driven by its year-end “Wrapped” campaign, which rounds up stats and listening highlights for users and new features on its free tier.
The company said it saw a record 38 million new users in the fourth quarter, taking its total to 751 million monthly active users, up 11% from a year earlier. Paying subscribers increased by 10% to 290 million in the quarter.
Spotify said the “Wrapped” campaign resulted in more than 300 million engaged users and 630 million shares on social media in 56 languages.
Revenue came in at €4.53 billion ($5.39 billion), about 7% more than a year earlier, thanks to an 8% increase in subscription revenue. However, the company’s ad-supported business saw revenue dip by 4% to €518 million ($616.6 million). Gross margin, an important metric investors watch for indications of improvements to Spotify’s profitability, improved by 83 basis points to a record high of 33.1% as the company sold more ads for podcasts and music.
The solid performance comes as Spotify’s new co-CEOs Gustav Söderström and Alex Norström take the reins from co-founder Daniel Ek, and they will now oversee a business that has far outgrown what it initially set out to do.
After launching as a music-streaming pure-play, Spotify has expanded its remit to include podcasts, audiobooks, and even physical bookstores. It’s launched music videos within the app as well as video podcasts and has doubled down on its retention strategy by adding social features like group chats and letting users share what they’re listening to. You can even use Spotify to book tickets to concerts, or explore the story behind songs.
The company has also added AI features like an AI DJ and AI-generated playlists, and now lets users exclude tracks from being recommended to help them better tailor what they listen to.
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Profitability has been a big focus for Spotify in recent years, and the company has tried to achieve that by increasing subscription prices in the U.S. and Europe. It’s also added new features to its free, ad-supported tier to attract more people away from rivals like YouTube Music and Amazon Music, letting users search for and choose songs they want to listen to.
The company expects to reach 759 million users and 293 million paying subscribers in the current quarter.
Tech
Former GitHub CEO raises record $60M dev tool seed round at $300M valuation
Former GitHub CEO Thomas Dohmke has raised the largest-ever seed round for a dev tool startup, according to its lead backer, Felicis. The startup, Entire, has raised $60 million at a $300 million valuation.
Entire offers an open source tool to help developers better manage code written by AI agents.
Entire’s tech has three components. One is a Git-compatible database to unify the AI-produced code. Git is a distributed version control system popular with enterprises and used by open source sites like GitHub and GitLab.
Another component is what it calls “a universal semantic reasoning layer” intended to allow multiple AI agents to work together. The final piece is an AI-native user interface designed with agent-to-human collaboration in mind.
The first product Entire is releasing is an open source tool it calls Checkpoints that automatically pairs every bit of software the agent submits for use in a software project with the context that created it, including prompts and transcripts. The idea is to allow the human developer to review, search, and perhaps even learn from why the AI did what it did.
Entire hopes to help developers better deal with the large volumes of software created by AI coding agents. Popular open source projects are particularly overwhelmed these days with suggested code contributions that may or may not be AI slop — meaning poorly designed and possibly unusable code.
Dohmke explains in the press release: “We are living through an agent boom, and now massive volumes of code are being generated faster than any human could reasonably understand. The truth is, our manual system of software production — from issues, to git repositories, to pull requests, to deployment — was never designed for the era of AI in the first place.”
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Dohmke was CEO of Microsoft’s GitHub for four years, leaving in August 2025 to found a startup, he said in a post on X at the time. During his time there, he oversaw the rise of the popular coding agent GitHub Copilot.
Other investors in the seed round include Madrona, M12, Basis Set, Harry Stebbings, Jerry Yang, and Datadog founder and CEO Olivier Pomel.
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