Going From Bug Bounty Bugs to More Secure Systems

Shlomie, founder and CEO of aisy, previously worked as a hacker and head of Hacker R&D at HackerOne, collaborating with organizations like Zoom, Salesforce, Capital One, and the Pentagon to triage vulnerabilities. He managed findings related to over $20 million in verified findings. The company aisy focuses on connecting security findings to actual threats by pushing recurring patterns to developers’ coding agents to prevent repeated bugs. Identity security is highlighted as a risk area due to misconfigurations like improper authentication, token misuse, and excessive permissions. Relatedly, events like the Identity Virtual Cybersecurity Summit and InfoSec World are featured, offering discussions on securing identity and reflecting current security challenges.

The narrative connects the high-stakes world of vulnerability research—where significant financial and national security risks are managed—with an operational solution focused on developer workflow. The underlying pattern suggests that traditional ticketing systems fail to address the scale and repetition inherent in modern application security, positioning a new approach that automates risk correlation as necessary. This mirrors a systemic friction point: the gap between abstract security knowledge (finding vulnerabilities) and actionable implementation (fixing them). The focus on identity at the application layer points toward a fundamental challenge in distributed systems where access control complexity compounds exponentially. The mention of high-profile AI vulnerabilities further emphasizes that systemic failures are not just technical flaws but involve emergent risks from advanced, autonomous systems. The implication for agency is whether organizations can effectively operationalize massive threat intelligence when the tooling and processes remain siloed. What assumptions are made about the ability of developers and security teams to process complex, correlated data streams efficiently? How does the velocity of change in software development interact with the slow pace of security remediation cycles? If patterns are pushed to agents, does this create a dependency where the system’s resilience relies too heavily on the quality of that pattern extraction, or is it a necessary step toward achieving true cognitive sovereignty over the codebase?