Aisy provides an AI-native vulnerability contextualization platform that helps security teams prioritize threats based on their specific organizational risk profile. The platform addresses the challenge of security teams being overwhelmed by hundreds of thousands of unprioritized vulnerability reports by shifting the focus from ticket management to threat model-driven risk reduction. The platform works by starting with what organizations are most concerned about, such as account takeover for high-value customers or data exfiltration from core systems. Aisy automatically identifies every asset, service, and vulnerability relevant to each threat model, mapping out attack chains and paths that could lead to critical compromises. This approach allows security teams to focus on threats that actually matter to their organization rather than working through massive vulnerability backlogs. The company's technology is trained on logic derived from security researchers and real-world bug bounty data, drawing from years of experience working with enterprises including Zoom, Salesforce, and Capital One. The founder's background includes managing decisions on over $20 million in verified security findings and resolving thousands of vulnerabilities through bug bounty programs. Aisy's platform connects data across an organization to provide context-aware vulnerability intelligence, enabling security leaders to understand where their real risks exist and eliminate them at the source. The approach recognizes that organizations cannot defend everything but can effectively protect what matters most through proper threat modeling and risk prioritization.