MIAMI, FL – May 12, 2026 – A new era in software security has dawned with the emergence of Grego AI, a company that has developed a groundbreaking artificial intelligence method capable of detecting critical software vulnerabilities that have historically eluded human review. The company announced today that its proprietary technique, Deep Invariant Analysis, has already proven its mettle by preventing a potential $27.7 million exploit within a major blockchain protocol.
AI's Unprecedented Reasoning Capabilities in Cybersecurity
Grego AI's system achieves this feat by pushing existing AI models beyond their conventional capabilities, unlocking a depth of reasoning that even their creators have not fully tapped into. This advanced reasoning allows the AI to identify vulnerabilities that arise from the complex interactions of multiple system dependencies – issues that are virtually impossible for human auditors to trace due to the sheer scale and intricacy of modern codebases. The company, founded in 2024 by Justus Hanna, a top-ranked bug bounty hunter, and Gregorio Maspero, a distinguished mathematician, has secured significant backing from investors including cyber•Fund and Guillermo Rauch, CEO of Vercel.
Preventing Large-Scale Exploits and Securing Record Bug Bounty
The successful prevention of the $27.7 million exploit in the Web3 space, deliberately chosen as a high-stakes proving ground, underscores the potency of Grego AI's technology. Following this success, Grego AI was awarded a $250,000 bug bounty, the largest ever for a vulnerability discovered entirely by an AI system. This achievement highlights the potential for AI to fundamentally reshape software security, extending beyond cryptocurrency to critical infrastructure such as financial systems, healthcare, cloud platforms, and government defense networks.
Grego AI's proprietary architecture, training methodology, and multi-agent orchestration pipeline are key to its success. Maspero, CTO of Grego AI, stated, "The frontier models from the leading labs all have a big reasoning limitation. Even for their max versions, they can't hold and trace complex logic across many layers of interacting systems. And no AI lab was able to solve this. But we did. We built our own reasoning architecture that fixes that."
The Future of AI in Software Assurance
While Web3 provided a rigorous initial testbed, Grego AI's vision extends far beyond it. The company aims to apply its Deep Invariant Analysis to a wide array of industries where software integrity is paramount. The ability to detect previously invisible vulnerabilities promises to significantly enhance the security posture of global digital infrastructure. This breakthrough not only marks a significant advancement in AI's application to cybersecurity but also signals a potential paradigm shift in how software is audited and secured in the future, moving towards a more proactive and AI-assisted approach to preventing cyber threats before they can be exploited. The company is already in discussions with major AI labs interested in understanding their novel approach, indicating the broad impact and recognition of this development.