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

OX, a leader in Application Security, today announced the launch of Agent OX, an AI assistant that delivers organization-specific vulnerability fixes. This new 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 codebase and architecture. Agent OX enables developers to understand hyper-customized proposed fixes before implementation — all with a single click. When AI security tools suggest fixes without explanation or rationale, developers often hesitate to trust and implement them. They want to see the suggested changes, understand them, and feel confident in their application. Unlike generic AI security tools, OX’s multi-agent system uses specialized AI models to analyze organization-specific codebases and architectures. This approach provides targeted remediation suggestions that consider both the technical context and business requirements of each development environment. It also allows developers to fully understand the proposed fixes before implementing them — with just one 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 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 Java and additional languages planned for future updates. OX is trusted by over 200 organizations, including Microsoft, IBM, eToro, and SoFi. Agent OX is now available to all OX customers.

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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, one-click fixes for code vulnerabilities. Q: How does Agent OX ensure accuracy and context-awareness? A: It utilizes specialized AI agents trained on specific vulnerability types and programming languages, which analyze an organization's unique codebase and architecture to generate tailored fixes. Q: Why is it important for developers to understand proposed fixes? A: Developers often hesitate to trust generic AI fixes without explanation. Agent OX allows them to review and understand the rationale behind proposed changes before implementation, fostering trust and confidence. Q: What programming languages are supported by the initial release of Agent OX? A: The initial release supports Python and JavaScript, with plans to add Java and other languages in the future. Q: How does Agent OX differ from generic AI security tools? A: Unlike generic tools, OX's multi-agent system uses specialized AI models to analyze specific organizational codebases and architectures, providing targeted remediation suggestions that consider technical context and business requirements.

Vulnerability Remediation Process

Q: What are the three main steps in how Agent OX works? A: The three steps are Detection, Prioritization, and Multi-Agent Remediation. Q: How does OX detect vulnerabilities? A: OX identifies vulnerabilities through native scanning and third-party integrations across code, dependencies, containers, and runtime environments. Q: What is the purpose of the Prioritization step? A: Proprietary code projection technology is used to determine if vulnerabilities are reachable, exploitable, and impactful, thereby eliminating noise and false positives. Q: How are the fixes generated in the Multi-Agent Remediation step? A: 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.

Developer Control and Integration

Q: Do developers have control over the suggested fixes? A: Yes, developers maintain complete control. Suggested fixes are presented within their existing tools, allowing them to review, customize, approve, or reject changes without the need for re-scans or causing branch conflicts. Q: Where are the suggested fixes displayed? A: Suggested fixes appear directly within the developer's existing tools.

Crypto Market AI's Take

The launch of OX's Agent OX marks a significant advancement in the field of application security, leveraging specialized AI agents to tackle complex vulnerability remediation. This approach aligns with the broader trend of AI becoming more deeply integrated into critical business functions, much like how AI is transforming financial markets and trading strategies. At Crypto Market AI, we see a strong parallel between sophisticated AI-driven security solutions like Agent OX and the AI-powered tools we offer for market analysis and trading. Just as Agent OX provides targeted, context-aware fixes for code, our AI agents are designed to provide precise market insights and execute trades with an understanding of specific market dynamics. Explore our insights into AI agents for trading to understand how advanced AI is revolutionizing financial decision-making.

More to Read:

• What are AI Crypto Trading Bots?
• Understanding Cryptocurrency Market Intelligence
• The Role of AI in Cybersecurity

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Source: Originally published at PR Newswire on August 6, 2025.