Xint Code Revolutionizes Vulnerability Research with AI-Powered Analysis

Xint, a cybersecurity firm, has unveiled Xint Code, an AI-powered tool that autonomously discovered critical remote code execution vulnerabilities in Redis, PostgreSQL, and MariaDB—beating all human competitors at ZeroDay Cloud. This breakthrough demonstrates AI's potential to transform software security by finding flaws that traditional methods and even human experts have missed for years.

A New Era in Automated Security

The cybersecurity landscape has been transformed by the introduction of Xint Code, a sophisticated code analysis tool that builds upon Xint's success at the AI Cyber Challenge (AIxCC) in August. Unlike traditional security tools that require extensive configuration and manual intervention, Xint Code operates with zero human involvement, analyzing entire codebases to uncover vulnerabilities with remarkable precision.

"We just debuted Xint Code, our new code analysis tool building on our success at the AI Cyber Challenge (AIxCC) in August," stated Xint in their announcement. "With zero human intervention, Xint Code found critical 0day RCE bugs in Redis, PostgreSQL, and MariaDB – sweeping the database category at ZeroDay Cloud and beating out every human team."

These discovered vulnerabilities are currently undergoing responsible disclosure with the relevant software maintainers, ensuring that critical security issues are addressed before they can be exploited maliciously.

How Xint Code Transforms Security Analysis

Xint Code represents a paradigm shift in how security researchers approach vulnerability detection. The tool analyzes arbitrary collections of source code, configuration files, and even binaries—eliminating the need for special packaging or harnessing requirements that plague traditional static analysis tools.

The outputs are designed to be immediately actionable: users receive human-readable reports for each vulnerability, including context-aware assessments of impact and severity. This approach dramatically reduces false positives while uncovering significantly more real vulnerabilities, including issues that have remained hidden from human eyes for decades.

"Finding these three RCE vulnerabilities at ZeroDay Cloud was as simple as dropping in the entire git repo of each project and letting Xint Code run," explains Xint. "For each of the three targets, Xint Code correctly identified the highest severity vulnerability (our demo exploits used the top result from each report). This required no manual setup, no special harnesses, and no humans in the loop during analysis."

The tool's effectiveness stems from its ability to autonomously map out projects and attack surfaces, deeply analyze every line of code in its relevant context, and identify vulnerabilities with real security impacts. This automation allows Xint to scale its security researchers' expertise across large, complex codebases, uncovering flaws that standard tools completely overlook.

Demonstrating Superior Performance at ZeroDay Cloud

The ZeroDay Cloud 2025 competition set an extremely high bar for eligible bugs: Remote Code Execution in default configurations of widely used open-source software. Xint Code not only met this challenge but exceeded expectations by finding these highly critical vulnerabilities in all three targeted database systems.

This performance is particularly noteworthy because it outperformed all human security teams in the competition, underscoring the tool's capability to match or exceed human expertise in vulnerability discovery. The competition's rigorous standards validate Xint Code's effectiveness as a security analysis tool.

"Considering security impact more broadly, Xint Code has produced at least one high-severity vulnerability in nearly every open source project it has analyzed," notes Xint. "This demonstrates the tool's consistent ability to uncover meaningful security issues across diverse codebases."

Expanding Impact Through Open Source Analysis

Xint plans to leverage the prize money from ZeroDay Cloud to fund additional analysis runs on critical software that powers the modern world. The company recognizes the broader security implications of their technology and aims to make a meaningful contribution to the open-source community.

"We believe we can make a real security impact by running Xint Code on projects from the Open Source community," states Xint. "The ZeroDay Cloud prize money will fund more analysis runs on critical software powering the modern world."

This initiative could significantly enhance the security posture of widely used open-source projects, potentially preventing countless security breaches before they occur.

Seeking Responsible Partnerships

While Xint Code demonstrates remarkable capabilities in finding real-world vulnerabilities, Xint is proceeding with caution regarding its deployment. The company understands that tools capable of reliably surfacing high-impact vulnerabilities must be implemented responsibly.

For early engagements, Xint is seeking a small number of partners who will use Xint Code in real security workflows. The company plans to work closely with these partners to run analyses on their codebases and validate findings.

"At the same time, tools that reliably surface high-impact vulnerabilities need to be deployed responsibly, so we're being deliberate about how we roll it out," explains Xint. "For early engagements, we're seeking a small number of partners who will use Xint Code in real security workflows. We'll work closely with you to run analyses on your codebases and validate findings."

Organizations interested in collaborating with Xint can visit their website to get in touch and explore potential partnerships.

The Future of AI in Security Research

Xint Code's emergence signals a significant evolution in the intersection of artificial intelligence and cybersecurity. As AI continues to advance, we can expect more sophisticated tools that can autonomously identify and remediate security vulnerabilities, reducing the burden on human security teams while potentially uncovering issues that would otherwise remain hidden.

The success of Xint Code at ZeroDay Cloud demonstrates that AI is not just a supplementary tool but can outperform human experts in certain aspects of security research. This has profound implications for how organizations approach software security, potentially leading to more proactive and comprehensive vulnerability detection strategies.

As the cybersecurity landscape continues to evolve, tools like Xint Code may become essential components of modern security arsenals, helping organizations stay ahead of increasingly sophisticated threats in an ever-changing digital environment.