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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Codex Security is an AI-driven application security tool designed to identify vulnerabilities within software projects and provide reliable fixes. Built on OpenAI’s advanced models and the Codex agent framework, the system analyzes code repositories to develop a detailed understanding of a project’s architecture and security posture. It generates a customizable threat model that helps guide the vulnerability detection process. Using this context, Codex Security scans the codebase to identify potential security weaknesses and prioritize them based on their actual risk. The system performs automated validation to verify vulnerabilities and reduce the number of false positives typically produced by traditional security scanners. When issues are confirmed, it generates recommended patches that align with the surrounding code and intended system behavior. This approach helps developers address security problems without introducing unintended regressions. Codex Security also learns from user feedback to improve its detection accuracy over time. The platform is designed to operate at scale and analyze large volumes of commits across repositories. Overall, Codex Security helps development and security teams strengthen application security while reducing manual triage and review workloads.

Description

GPT-5.3-Codex-Spark is OpenAI’s first model purpose-built for real-time coding within the Codex ecosystem. Engineered for ultra-low latency, it can generate more than 1000 tokens per second when running on Cerebras’ Wafer Scale Engine hardware. Unlike larger frontier models designed for long-running autonomous tasks, Codex-Spark specializes in rapid iteration, targeted edits, and immediate feedback loops. Developers can interrupt, redirect, and refine outputs interactively, making it ideal for collaborative coding sessions. The model features a 128k context window and is currently text-only during its research preview phase. End-to-end latency improvements—including WebSocket streaming and inference stack optimizations—reduce time-to-first-token by 50% and overall roundtrip overhead by up to 80%. Codex-Spark performs strongly on benchmarks such as SWE-Bench Pro and Terminal-Bench 2.0 while completing tasks significantly faster than its larger counterpart. It is available to ChatGPT Pro users in the Codex app, CLI, and VS Code extension with separate rate limits during preview. The model maintains OpenAI’s standard safety training and evaluation protocols. Codex-Spark represents the beginning of a dual-mode Codex future that blends real-time interaction with long-horizon reasoning capabilities.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Codex CLI
OpenAI
OpenAI Codex
ChatGPT Enterprise
Codex Security
GPT-5
GPT-5-Codex-Mini
GPT-5.1 Thinking
GPT-5.2
GPT-5.2 Instant
GPT-5.2 Pro
GPT-5.2 Thinking
GPT-5.2-Codex
GPT-5.4
GPT-5.4 Pro
GPT-5.4 nano
GPT-5.5
GPT-5.5 Pro
Git
GitHub

Integrations

Codex CLI
OpenAI
OpenAI Codex
ChatGPT Enterprise
Codex Security
GPT-5
GPT-5-Codex-Mini
GPT-5.1 Thinking
GPT-5.2
GPT-5.2 Instant
GPT-5.2 Pro
GPT-5.2 Thinking
GPT-5.2-Codex
GPT-5.4
GPT-5.4 Pro
GPT-5.4 nano
GPT-5.5
GPT-5.5 Pro
Git
GitHub

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

OpenAI

Founded

2015

Country

United States

Website

openai.com

Vendor Details

Company Name

OpenAI

Founded

2015

Country

United States

Website

openai.com

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