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What is Codex Security?

Codex Security is an AI-powered security agent developed by OpenAI to assist teams in identifying and resolving vulnerabilities within their software systems. The tool analyzes entire code repositories to understand how applications function and where potential risks may exist. By building a system-specific threat model, Codex Security gains deeper context about trusted components, external dependencies, and possible attack surfaces. This contextual understanding allows the system to detect complex vulnerabilities that traditional static analysis tools might miss. The platform prioritizes security findings based on their real-world impact rather than simply reporting large numbers of potential issues. Codex Security also validates vulnerabilities using sandbox environments to confirm whether the issues are exploitable. This validation process significantly reduces false positives and helps security teams focus on genuine threats. When vulnerabilities are discovered, the system recommends code patches that align with the architecture and intended behavior of the application. These suggested fixes help developers implement secure solutions without disrupting existing functionality. Codex Security can continuously learn from user feedback to refine its threat model and improve detection accuracy. The system is designed to operate across large codebases and analyze thousands of commits efficiently. Overall, Codex Security enables organizations to strengthen software security workflows while accelerating development and deployment processes.

What is Antares?

Antares is a collection of open-weight security small language models crafted to detect vulnerabilities within large codebases. Featuring models such as Antares-350M and Antares-1B, these tools can be deployed locally or on-site, ensuring that proprietary source code remains secure while also reducing both inference expenses and runtime. The procedure starts with an outline of the vulnerability, which may include an advisory or a CWE category; from there, the model embarks on a detailed investigation similar to that of a human analyst, methodically looking for relevant code patterns, scrutinizing possible files, integrating new data, and adjusting its strategy when certain paths appear unproductive. This method allows the model to concentrate its resources on the files most likely to contain the identified flaws. In the end, Antares produces a prioritized list of source files that may be vulnerable, accompanied by a comprehensive trail of the exploration process that led to these conclusions, thereby simplifying the review and prioritization for teams. Furthermore, this functionality not only accelerates the vulnerability assessment process but also significantly strengthens the overall security framework of the development environment, fostering a culture of proactive security measures. Ultimately, organizations can benefit from improved efficiency and effectiveness in managing their code vulnerabilities.

Media

Media

Integrations Supported

Codex CLI
GPT-5
GPT-5-Codex-Mini
GPT-5.1 Thinking
GPT-5.1-Codex
GPT-5.2 Instant
GPT-5.2 Pro
GPT-5.3-Codex
GPT-5.4 Pro
GPT-5.4 nano
GPT-5.5
GPT-5.5 Pro
GPT-5.6 Luna
GPT-5.6 Sol
GPT‑5-Codex
GPT‑5.3‑Codex‑Spark
GPT‑5.4 Thinking
GitHub
OpenAI
OpenAI Daybreak

Integrations Supported

Codex CLI
GPT-5
GPT-5-Codex-Mini
GPT-5.1 Thinking
GPT-5.1-Codex
GPT-5.2 Instant
GPT-5.2 Pro
GPT-5.3-Codex
GPT-5.4 Pro
GPT-5.4 nano
GPT-5.5
GPT-5.5 Pro
GPT-5.6 Luna
GPT-5.6 Sol
GPT‑5-Codex
GPT‑5.3‑Codex‑Spark
GPT‑5.4 Thinking
GitHub
OpenAI
OpenAI Daybreak

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

OpenAI

Date Founded

2015

Company Location

United States

Company Website

openai.com

Company Facts

Organization Name

Cisco

Date Founded

1984

Company Location

United States

Company Website

blogs.cisco.com/ai/introducing-antares-the-most-efficient-open-weight-ai-models-for-vulnerability-localization

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