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OX Unveils Agent OX: New AI Assistant Delivering Custom Code Fixes with Single Click
application-security

OX Unveils Agent OX: New AI Assistant Delivering Custom Code Fixes with Single Click

OX introduces Agent OX, an AI assistant delivering organization-specific, context-aware vulnerability fixes with one click in developers' workflows.

August 7, 2025
5 min read
Ox Security

OX introduces Agent OX, an AI assistant delivering organization-specific, context-aware vulnerability fixes with one click in developers' workflows.

OX Launches Agent OX: AI-Powered Assistant for Custom, One-Click Code Vulnerability Fixes

OX, a leader in Application Security, has announced the launch of Agent OX, an AI assistant designed to deliver organization-specific vulnerability fixes directly within developers' workflows. This innovative tool deploys specialized AI agents trained on distinct vulnerability types and programming languages, enabling highly accurate, context-aware fixes tailored to each organization's unique codebase and architecture.

Hyper-Customized Fixes with One Click

Agent OX empowers developers to understand proposed fixes before implementation, addressing a common challenge where AI security tools suggest changes without explanation. This lack of transparency often leads to hesitation in adopting fixes. Agent OX’s multi-agent system analyzes the specific technical context and business requirements, providing targeted remediation suggestions that developers can trust and review with a single click.
"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 via native scanning and third-party integrations across code, dependencies, containers, and runtime environments.
  • Prioritization: Proprietary code projection technology evaluates if vulnerabilities are reachable, exploitable, and impactful, effectively 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 retain full control throughout the process. Suggested fixes appear directly in existing tools, allowing teams to review, customize, approve, or reject changes without triggering re-scans or causing branch conflicts.

    Supported Languages and Availability

    The initial release supports Python and JavaScript, with plans to include Java and additional languages in future updates. Agent OX is now available to all OX customers and is trusted by over 200 organizations, including Microsoft, IBM, eToro, and SoFi.

    About OX

    OX is an Application Security Platform focused on helping teams address the 5% of security risks that truly matter. It provides evidence-based risk prioritization across the 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 continues to innovate in the application security space.
    Media Contact: ox@concrete.media Source: Originally published at PR Newswire on August 6, 2025.

    Frequently Asked Questions (FAQ)

    Agent OX Functionality

    Q: What is Agent OX? A: Agent OX is an AI-powered assistant developed by OX that provides custom, one-click code vulnerability fixes directly within a developer's workflow. Q: How does Agent OX ensure the fixes are organization-specific? A: Agent OX deploys specialized AI agents trained on distinct vulnerability types and programming languages. These agents analyze the organization's unique codebase and architecture to generate tailored remediation. Q: What makes Agent OX different from other AI security tools? A: Unlike tools that offer generic fixes without explanation, Agent OX provides transparent, context-aware remediation suggestions that developers can review and trust before implementation. Q: What is the process Agent OX uses to fix vulnerabilities? A: Agent OX follows a three-step process: Detection of vulnerabilities through scanning and integrations, Prioritization based on exploitability and impact, and Multi-Agent Remediation where specialized AI agents generate tailored fixes. Q: What programming languages does Agent OX initially support? A: The initial release supports Python and JavaScript, with plans to expand to Java and other languages in the future. Q: Do developers have control over the fixes proposed by Agent OX? A: Yes, developers retain full control. Suggested fixes appear within their existing tools, allowing them to review, customize, approve, or reject changes without affecting their workflow.

    Crypto Market AI's Take

    The launch of OX's Agent OX represents a significant advancement in the application security landscape, highlighting the growing trend of specialized AI agents tackling complex tasks. This development mirrors the broader AI revolution impacting various sectors, including the financial markets and cryptocurrency space. Our platform, crypto-market.ai, focuses on harnessing AI for market intelligence and trading, and we see parallels in how specialized AI is being developed to address specific industry challenges, much like Agent OX does for code security. The concept of AI agents trained for specific tasks is a cornerstone of our AI tools, aiming to bring efficiency and accuracy to trading and analysis. For developers and businesses, ensuring the security of their applications is as crucial as managing risk in financial markets. You can learn more about our approach to AI in finance and trading in our AI Agents section.

    More to Read:

  • How AI is Revolutionizing Cybersecurity
  • The Rise of AI Trading Bots in Cryptocurrency
  • Understanding Vulnerabilities in Software Development