The core challenge in modern cybersecurity is clear: traditional methods are no longer enough to keep pace with the rapid evolution of technology. And here's where it gets controversial—many security solutions still rely heavily on reactive approaches, waiting for breaches to occur before responding. But what if we could shift from firefighting to prevention? That's precisely what Clover is aiming to do.
Backed by notable investors and industry veterans, Israeli startup Clover has successfully secured a significant $30 million funding round. The investment was spearheaded by Notable Capital, with participation from Team8—which previously led a $6 million seed round in 2023—alongside SVCI and a distinguished group of angel investors. Among these angels are Assaf Rappaport and Yinon Costica, the co-founders of Wiz, as well as Shlomo Kramer of Cato Networks and senior executives from prominent cybersecurity firms like Snyk, CrowdStrike, Palo Alto Networks, Atlassian, and Google.
Founded in 2023 by Alon Kollmann, serving as CEO, and Or Chen, as Chief Product Officer, Clover was born out of a shared vision. The two met in 2022 when Kollmann was pursuing his MBA in France while Chen was wrapping up his tenure at Checkmarx, a company that acquired Chen’s previous startup. Their common fascination with how AI can transform product security motivated them to build Clover—a company that employs approximately 40 staff members, primarily based in Israel, with plans to double their team by 2026.
The company’s innovative approach involves integrating AI-powered agents into popular developer tools like Confluence, Jira, GitHub, Cursor, and Slack. These AI agents serve as proactive security consultants embedded directly into the platforms developers use daily, enabling early identification of design flaws and supporting secure development from the outset. They mimic the expertise of seasoned security professionals by understanding system behavior, estimating where vulnerabilities may form, and applying core security principles before the coding process even begins. This method drastically reduces the repetitive workload of security teams and offers developers immediate, actionable security advice within their existing workflows.
Clover boasts a diverse client roster that includes prominent names such as Udemy, ServiceTitan, Lemonade, and Virgin Money, along with rising private companies like Plaid, Notion, Pros, Neo4j, Clari, and Lead Bank.
In an interview with Calcalist, Alon Kollmann explained:
“We embed AI agents directly into developers’ tools even before they start writing code. In large organizations, the volume of software production is immense, and their security teams are often overwhelmed. Unlike traditional scanning tools, our system functions as an extension of the team—automating manual tasks and augmenting workforce capacity. Based on our tests, we’ve been able to save companies the equivalent of three to four employees. Currently, we’re already generating millions of dollars in revenue from prominent organizations.”
Kollmann also highlighted that this fresh capital will be used to boost marketing initiatives and broaden Clover's market presence.
Related articles include: Guardio raises $80 million amid rising consumer cybersecurity demand, Apono secures $34M Series B as enterprises adopt automated cloud access, and Chargeflow raises $35 million to combat transaction denial spikes.
Kollmann underscores a pressing issue in cybersecurity today: “The current tools are reactive—they address problems after they surface. But in an AI-driven development landscape, that reactive approach is obsolete. Development teams are moving faster and scaling rapidly, leaving security teams to handle a level of complexity they simply cannot manage alone.”
Oren Yunger, Managing Partner at Notable Capital, remarks:
“Not many security startups hit millions in annual recurring revenue while still operating in stealth—this kind of rapid growth is rarely coincidental. Clover isn’t just keeping up with the AI-native era; they are laying the foundational security infrastructure that modern software demands.”
Finally, Kollmann emphasizes the urgency of updating security strategies: “Sticking to outdated, reactive tools is no longer viable. The AI era demands proactive, integrated security approaches—many companies are underestimating just how complex and fast-moving this new landscape truly is. Are we prepared for the security challenges ahead, or are we setting ourselves up for an even larger crisis?”
What are your thoughts? Do you agree that traditional cybersecurity methods are nearing obsolescence, or do you see a place for the old ways alongside new AI-driven solutions? Drop your comments below and share your perspective.
