Aisy, the AI-driven cybersecurity platform reimagining how enterprises manage and prioritize vulnerabilities, announced its emergence from stealth with $2.3 million in seed funding led by Osney Capital, Flying Fish Ventures, 6 Degrees Capital, and backed by angel investors and advisors from industry leaders including DeepMind, Cisco, HP, and Trail of Bits.
Built to solve one of the most persistent challenges in enterprise security overwhelming vulnerability alert backlogs and poor prioritization Aisy introduces a fundamentally new approach that mirrors real attacker behavior rather than traditional ticket-centric scoring.
“Smart people are burning out sifting through backlogs of unprioritized, low-value vulnerabilities, while the real critical pathways go unprotected,” said Shlomie Liberow, founder and CEO of Aisy. “I spent years working alongside the best hackers in the world and collaborating with internal security teams to untangle the messiest threats in global enterprises. That’s why I built Aisy to flip the security model on its head.”
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Aisy’s platform applies an AI-assisted, attacker-mindset approach to vulnerability management: it begins by mapping an organization’s external attack surface seeing systems “through the eyes of an attacker” and then correlates internal vulnerability data to identify meaningful attack paths that matter most to business risk reduction. This method enables security teams to prioritize remediation not simply based on isolated tickets, but through the context of real exploit paths.
Instead of forcing security teams to address thousands of scattered alerts, Aisy identifies shared causes and surfaces strategic remediation actions. This results in dramatically reduced exposure and improved operational efficiency, enabling teams to spend more time on high-impact risk reduction and less on low-priority noise.
“Companies are facing an explosion in their attack surface while security teams are overwhelmed with data,” said Vanessa Pegueros, venture partner at Flying Fish Ventures. “Aisy’s attacker-driven approach transforms vulnerability management from reactive triage into proactive risk reduction.”
In addition to helping organizations shift from reactive workflows to proactive defense, the funding will accelerate product development and expand Aisy’s team across machine learning and security research, driving further innovation in AI-native cybersecurity.
Source: Aisy