Skip to main content

Detectify raises additional €21M for its ethical hacker network

Detectify, the Sweden born cybersecurity startup that offers a website vulnerability scanner powered by the crowd, has raised €21 million in further funding.

Leading the round is London-based VC firm Balderton Capital, with participation from existing investors Paua Ventures, Inventure and Insight Partners.

Detectify says the new funding will be used to continue to hire “world-class” talent to further accelerate the company’s growth and deliver on its mission to reduce internet security vulnerabilities.

Founded in late 2013 by a self-described group of “elite hackers” from Sweden, the company offers a website security tool that uses automation to scan websites for vulnerabilities to help customers (i.e. developers) stay on top of security. The more unique part of the service, however, is that it is in part maintained — or, rather, kept up to date — via the crowd in the form of Detectify’s “ethical hacker network”.

As we explained when the startup raised its €5 million Series A round, this sees top-ranked security researchers submit vulnerabilities that are then built into the Detectify scanner and used in customers’ security tests. The clever part is that researchers get paid every time their submitted module identifies a vulnerability on a customer’s website. In other words, incentives are kept aligned, giving Detectify a potential advantage and greater scale compared to similar website security automation tools.

Detectify co-founder and CEO Rickard Carlsson tells me the company has made a lot of progress in the past 12 months, including building out the crowdsourcing part of its proposition in order to grow the number of known vulnerabilities.

“Modules from crowdsourcing hackers have now generated 110,000 plus vulnerabilities in our customer base,” he says. “And the community is about 2.5 times as large now”.

In the last year, Detectify has also expanded its client base in the U.S, and says it now counts leading software companies such as Trello, Spotify and King as customers.

The young startup seems to scoring well on the gender diversity front, too. It says that almost half (45%) of the company’s 83 employees are female, including 50% at C-level. In addition, there are close to 30 nationalities across Detectify’s Stockholm and Boston offices.

Adds James Wise, partner at Balderton Capital, in a statement: “Detectify brings together the power of human ingenuity, the immense scalability of software, and a strong culture of transparency and integrity to provide world-class security to everyone. This is a fundamentally new approach to protecting businesses from new cyber security threats, and alongside our other cyber security investments, including Darktrace, Recorded Future & Tessian, we see Detectify as part of a new wave of solutions to make the web safer for everyone.”



from TechCrunch https://ift.tt/2KNrW8w
via IFTTT

Comments

Popular posts from this blog

Apple’s AI Push: Everything We Know About Apple Intelligence So Far

Apple’s WWDC 2025 confirmed what many suspected: Apple is finally making a serious leap into artificial intelligence. Dubbed “Apple Intelligence,” the suite of AI-powered tools, enhancements, and integrations marks the company’s biggest software evolution in a decade. But unlike competitors racing to plug AI into everything, Apple is taking a slower, more deliberate approach — one rooted in privacy, on-device processing, and ecosystem synergy. If you’re wondering what Apple Intelligence actually is, how it works, and what it means for your iPhone, iPad, or Mac, you’re in the right place. This article breaks it all down.   What Is Apple Intelligence? Let’s get the terminology clear first. Apple Intelligence isn’t a product — it’s a platform. It’s not just a chatbot. It’s a system-wide integration of generative AI, machine learning, and personal context awareness, embedded across Apple’s OS platforms. Think of it as a foundational AI layer stitched into iOS 18, iPadOS 18, and m...

The Silent Revolution of On-Device AI: Why the Cloud Is No Longer King

Introduction For years, artificial intelligence has meant one thing: the cloud. Whether you’re asking ChatGPT a question, editing a photo with AI tools, or getting recommendations on Netflix — those decisions happen on distant servers, not your device. But that’s changing. Thanks to major advances in silicon, model compression, and memory architecture, AI is quietly migrating from giant data centres to the palm of your hand. Your phone, your laptop, your smartwatch — all are becoming AI engines in their own right. It’s a shift that redefines not just how AI works, but who controls it, how private it is, and what it can do for you. This article explores the rise of on-device AI — how it works, why it matters, and why the cloud’s days as the centre of the AI universe might be numbered. What Is On-Device AI? On-device AI refers to machine learning models that run locally on your smartphone, tablet, laptop, or edge device — without needing constant access to the cloud. In practi...

Max Q: Psyche(d)

In this issue: SpaceX launches NASA asteroid mission, news from Relativity Space and more. © 2023 TechCrunch. All rights reserved. For personal use only. from TechCrunch https://ift.tt/h6Kjrde via IFTTT