OX Launches Agent OX: AI-Powered Custom Code Fixes Delivered with One Click

OX, a leader in Application Security, has announced the launch of Agent OX, an AI assistant designed to deliver organization-specific vulnerability fixes. This innovative capability deploys specialized AI agents trained on specific vulnerability types and programming languages to provide highly accurate, context-aware fixes tailored to each organization's unique codebase and architecture. Agent OX enables developers to understand hyper-customized proposed fixes before implementing them — all with a single click. This transparency addresses a common hesitation among developers who often distrust AI-generated fixes that lack explanation or rationale. Unlike generic AI security tools, OX's multi-agent system uses specialized AI models to analyze organization-specific codebases and architectures. This approach offers more targeted remediation suggestions that consider both the technical context and business requirements of each development environment. Developers can review and trust the proposed fixes before applying them, streamlining secure code remediation.

"Security tools shouldn't just point out flaws; they need to help developers fix vulnerabilities intelligently," said Neatsun Ziv, co-founder and CEO of OX. "We built this capability because developers need solutions that engender trust and understand their specific codebase, as opposed to generic fixes that often create more problems than they solve."

How Agent OX Works

The feature operates through a three-step intelligent process:

• Detection: OX identifies vulnerabilities through native scanning and third-party integrations across code, dependencies, containers, and runtime environments.
• Prioritization: Proprietary code projection technology determines if vulnerabilities are actually reachable, exploitable, and impactful — eliminating noise and false positives.
• Multi-Agent Remediation: Specialized AI agents, each expert in different vulnerability types and programming languages, analyze the organization's code architecture and runtime context to generate secure, tailored fixes quickly and efficiently.
Developers maintain complete control throughout the process. Suggested fixes appear directly in their existing tools, allowing teams to review, customize, approve, or reject changes without triggering re-scans or creating branch conflicts. The initial release supports Python and JavaScript, with plans to add Java and additional languages in future updates.

About OX

OX is an Application Security Platform that helps teams focus on the 5% of security risks that truly matter. The platform provides evidence-based risk prioritization across the entire software development lifecycle by analyzing exploitability, reachability, and business impact. With comprehensive code-to-cloud coverage, over 100 integrations, and no-code workflows, OX delivers guided remediation that integrates seamlessly into developer workflows. Founded in 2021 by former Check Point executives Neatsun Ziv and Lior Arzi, OX is trusted by over 200 organizations, including Microsoft, IBM, eToro, and SoFi.

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Media Contact: ox@concrete.media Source: OX Unveils Agent OX: New AI Assistant Delivering Custom Code Fixes with Single Click

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Frequently Asked Questions (FAQ)

Agent OX Functionality

Q: What is Agent OX? A: Agent OX is an AI assistant developed by OX that provides organization-specific, context-aware code fixes for security vulnerabilities. Q: How does Agent OX deliver custom code fixes? A: It uses specialized AI agents trained on specific vulnerability types and programming languages to analyze an organization's unique codebase and architecture, generating tailored fixes. Q: What makes Agent OX different from generic AI security tools? A: Agent OX employs a multi-agent system with specialized AI models for more targeted remediation, considering the specific technical context and business requirements of each development environment. Q: What programming languages does Agent OX currently support? A: The initial release supports Python and JavaScript, with plans to add Java and other languages in the future. Q: Do developers have control over the AI-generated fixes? A: Yes, developers maintain complete control. Suggested fixes appear in their existing tools, allowing them to review, customize, approve, or reject changes.

Vulnerability Management with OX

Q: How does OX identify vulnerabilities? A: OX identifies vulnerabilities through native scanning and integrations across code, dependencies, containers, and runtime environments. Q: How does OX prioritize vulnerabilities? A: OX uses proprietary code projection technology to determine if vulnerabilities are reachable, exploitable, and impactful, thereby filtering out noise and false positives.

Trust and Transparency in AI Fixes

Q: How does Agent OX address developer hesitation towards AI-generated fixes? A: Agent OX provides transparency by allowing developers to understand the hyper-customized proposed fixes before implementation, offering a rationale behind the suggestions.

Crypto Market AI's Take

The introduction of Agent OX by OX signifies a growing trend in the cybersecurity landscape where Artificial Intelligence is being leveraged not just for detection but for sophisticated, context-aware remediation. This mirrors the advancements seen in other AI-driven fields, such as the development of sophisticated AI agents for trading that analyze market data and execute strategies. By focusing on organization-specific codebases, Agent OX aims to solve a critical pain point for developers: the distrust and inefficiency of generic AI solutions. This approach aligns with our belief that AI's true power lies in its ability to be highly specialized and adaptable, much like how we aim to provide tailored AI-powered cryptocurrency solutions for our users.

More to Read:

• What are AI Agents and How They Are Revolutionizing Trading
• The Rise of AI in Cybersecurity: Enhancing Threat Detection and Response
• Understanding Blockchain Security: Protecting Your Digital Assets