---
title: "Aeon agent framework acknowledged by Nvidia for security vulnerability detection"
date: "2026-09-22T18:37:31.000Z"
updated: "2026-09-22T18:37:35.000Z"
tags:
  - "infrastructure"
  - "agents"
source: "https://www.nvidia.com/en-us/security/acknowledgements/"
summary: "Nvidia recognized the open-source Aeon framework after its automated Vuln Scanner skill identified flaws in the company's codebase."
canonical: "https://protocolflow.today/a/2026-09-22-aeon-agent-framework-earns-nvidia-security-nod-for-automated-vulnerability-scann"
---

# Aeon agent framework acknowledged by Nvidia for security vulnerability detection

*Nvidia recognized the open-source Aeon framework after its automated Vuln Scanner skill identified flaws in the company's codebase.*

The Aeon agent framework received public recognition from Nvidia on September 22, 2026, for identifying security vulnerabilities in the company's products. The acknowledgment appears on Nvidia's security page alongside contributions from individual researchers and major security firms, marking a verified instance of an autonomous AI agent contributing to the security infrastructure of a global technology leader. Operator Aaron Mars used the framework to submit the findings, demonstrating how users deploy the tool to audit high-profile software without manual oversight.

Aeon operates as an autonomous agent system that executes tasks without continuous human approval. According to the project's documentation, the framework uses 84 distinct skills to complete work once given a direction. The Vuln Scanner skill specifically audits trending repositories for security vulnerabilities and manages the disclosure process. This capability allows the system to scan large codebases and identify potential flaws without manual intervention for each cycle.

The framework automates the detection of issues and coordination of Common Vulnerabilities and Exposures (CVE) identifiers. Nvidia groups reported issues by CVE ID ranges on its security page, covering entries from 2024 through 2026. The page confirms contributions from entities using automated tools, as well as teams from Tencent Xuanwu Lab, Wiz Research, and universities including IIT Kharagpur and Tsinghua University. While the summary view does not link every researcher to a specific CVE number, the inclusion of Aeon validates the efficacy of its automated scanning methods.

Nvidia maintains a Vulnerability Disclosure Program that encourages the reporting of security concerns. The company states on its website that it commits resources to analyze, validate, and provide corrective actions once a concern is reported. The acknowledgment page serves as a record of external researchers and tools that have participated in this process. Mars shared a link to the [Nvidia security acknowledgements](https://www.nvidia.com/en-us/security/acknowledgements/) page to highlight the framework's contribution.

The Aeon project describes itself as the most autonomous agent framework available and operates under an MIT license. Developers configure the system to perform tasks ranging from code auditing to market monitoring. The [Aeon framework](https://x.com/aeonframework) account on X noted that its vuln-scanner skill has examined repositories with millions of stars, including those belonging to Google, Microsoft, Alibaba Group, Tencent Global, and Cloudflare. The system automates detection and can generate reports or initiate fixes based on predefined parameters.

Security researchers increasingly use autonomous agents to enable continuous monitoring without manual scan cycles. The application of these agents extends to critical infrastructure providers where rapid identification of flaws is essential. Specific details of vulnerabilities found by the framework remain part of the private coordination process until patches deploy, though their existence enters the public record via the acknowledgment list.


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