The world of application security is shifting dramatically as AI begins to move from simply flagging vulnerabilities to actively fixing them. Ox Security has launched Agent Ox, a groundbreaking AI-powered extension designed to automate secure, organization-specific code fixes. Unlike generic coding assistants that offer boilerplate advice, Agent Ox analyzes each company’s unique codebase and runtime environment to deliver tailored, context-aware solutions.
This episode explores how Agent Ox could transform developer workflows and the broader DevSecOps landscape. We examine its three-step process: detection through native and third-party scans, prioritization with code projection to cut false positives, and multi-agent remediation that generates secure fixes aligned with business logic and data sensitivity. Developers remain in control—able to review, customize, and approve fixes directly within their familiar tools—helping to build trust in AI-driven security.
We also compare Agent Ox to other next-gen tools like Pixee, which is automating the “final mile” of application security. Together, these innovations are addressing long-standing challenges: developer fatigue, overwhelming vulnerability lists, and the struggle to prioritize what truly matters. With financial losses from cyberattacks climbing and developer teams under constant pressure, AI-driven remediation may be the future of secure software development.
Is this the moment where AI finally bridges the gap between security and speed in software development? Join us as we break down how Agent Ox could redefine what it means to keep code safe.
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