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Aisy Launches Out of Stealth to Transform Vulnerability Management

  • What: Aisy, a new company focused on AI-assisted vulnerability management, has launched out of stealth mode with $2.3 million in seed funding.
  • Why: The company aims to transform vulnerability management with its AI platform.
  • Impact: The funding will be used to further develop and market the platform.
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CYBERSECURITY FUNDING Aisy Launches Out of Stealth to Transform Vulnerability Management Aisy has emerged from stealth mode with $2.3 million in seed funding for its AI-assisted platform. By Kevin Townsend | January 30, 2026 (10:00 AM ET) Flipboard Reddit Whatsapp Email Aisy has emerged from stealth with $2.3 million seed funding from Osney Capital, Flying Fish Ventures, and 6 Degrees Capital together with additional angel investors. The firm provides an AI-assisted platform designed to help security teams manage, prioritize, and reduce an overwhelming volume of vulnerability alert tickets. “Smart people are burning out sifting through backlogs of unprioritized, low-value vulnerabilities, while the real critical pathways go unprotected,” says Shlomie Liberow, founder and CEO of Aisy (and formerly head of hacker research and development at HackerOne). He doesn’t see this changing for mid-tier and larger companies – partly because of the security industry itself. Each vulnerability tool competes with other vulnerability tools, and each one avoids the possibility of a competitor finding more issues than it does itself. So, its DNA is to find everything possible irrespective of the criticality. Aisy operates by finding the most effectual vulnerabilities (which may not be apparent from a simple list or spreadsheet of alert tickets). It does this by looking at the system from the hacker viewpoint: from the outside first. “In the world of bug bounty,” he explains, with the authority of seven years at HackerOne, “it’s not about ‘I went onto a website, and I found a particular route, and now suddenly I’m leaking privileged information’. It’s more ‘I found this peculiar behavior, and I also saw something else odd nearby, and I can put the two together’.” That’s the real bug (chaining vulnerabilities), but it’s not always evident in a simple list of tickets unearthed by security products. “The play with Aisy is similar to hackers,” he continues. “We know what the patterns typically lead to. We know what things are interesting.” ADVERTISEMENT. SCROLL TO CONTINUE READING. At a high level, this is achieved through two steps. The first is to map the system from the outside, so that Aisy understands the system in the same way that an attacker would understand it. “We map the infrastructure through the eyes of an attacker, because we believe the way the attacker makes sense of infrastructure is very different from traditional security tooling.” This is done daily to accommodate all changes as they happen, and to continuously ensure the platform understands what an attacker would understand. The second step is to ingest all the existing tickets, whether produced by security tooling, pen testing, or even bounty hunters. “We then sieve through these from the viewpoint of a hacker and can see where separate tickets could combine into something more severe. You might have an IDOR [insecure direct object reference, now more usually classified as broken access control] and a separate XSS.” The platform might find six or more tickets that could be chained together. But it also understands the assets that could be affected by this chaining, and how important the different assets might be to the company. In this way it can surface the most important vulnerability tickets that should be remediated first to protect the infrastructure. It uses AI to add ‘creativity’ to its analysis, but Liberow is well aware of the limitations and issues with LLMs. “It helps with semantic understanding of different tickets from different sources, but doesn’t assist in relating tickets to tickets and to assets. That’s down to our own platform.” Aisy doesn’t currently do any autonomous remediation of the vulnerabilities it highlights as urgent. Liberow is not sure that industry is ready to allow autonomous remediation yet. “I think we can get close. We can give advice, and that’s part of what we’re doing. But we’re not focused on automated remediation for two reasons, partially because I don’t want to get distracted while we’re focusing on the more hairy problems; and partially because the industry isn’t ready to accept the idea of pressing a button to fix everything without panicking.” In general, companies are competent in fixing their own problems, but Aisy surfaces the why and how and in what order remediating vulnerabilities found within potentially hundreds of thousands of alert tickets should be undertaken. Related: Cyber Insights 2026: Threat Hunting in an Age of Automation and AI Related: AI Emerges as the Hope—and Risk—for Overloaded SOCs Related: APTs, Cybercriminals Widely Exploiting WinRAR Vulnerability Related: Furl Raises $10 Million for Autonomous Vulnerability Remediation WRITTEN BY Kevin Townsend Kevin Townsend is a Senior Contributor at SecurityWeek. He has been writing about high tech issues since before the birth of Microsoft. For the last 15 years he has specialized in information security; and has had many thousands of articles published in dozens of different magazines – from The Times and the Financial Times to current and long-gone computer magazines. 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