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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Arambh Labs introduces a new era of security operations by leveraging agentic AI to detect, investigate, and remediate threats in real time. Its swarm of security-specialized agents — including Byte the first responder, Rook the strategist, Echo the threat hunter, and Talon the intelligence gatherer — work collaboratively like a digital defense team. The platform unifies visibility across all layers of IT infrastructure, from cloud and endpoints to networks, identity systems, and data environments, delivering context-rich insights that extend far beyond traditional logging tools. Intelligent prioritization reduces noise by analyzing risks in context, allowing security teams to focus on the 1% of alerts that matter most. With autonomous remediation, Arambh Labs executes response playbooks instantly, aligning actions with predefined policies for rapid containment and recovery. This automation has helped customers cut their MTTR by over 85% while strengthening proactive defense postures. Designed for scale, Arambh Labs integrates seamlessly with over 100 security solutions and supports both SaaS and on-prem deployments. By combining deep security expertise with cutting-edge agentic AI, the platform empowers enterprises to stay ahead of evolving threats and operate with confidence.

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.

API Access

Has API

API Access

Has API

Screenshots View All

No images available

Screenshots View All

Integrations

ChatGPT Enterprise
Codex CLI
GPT-5
GPT-5-Codex-Mini
GPT-5.1
GPT-5.1 Instant
GPT-5.1 Pro
GPT-5.1-Codex-Max
GPT-5.3 Instant
GPT-5.3-Codex
GPT-5.4
GPT-5.4 Pro
GPT-5.5
GPT‑5-Codex
GPT‑5.3‑Codex‑Spark
GPT‑5.4 Thinking
Git
GitHub
OpenAI
OpenAI Codex

Integrations

ChatGPT Enterprise
Codex CLI
GPT-5
GPT-5-Codex-Mini
GPT-5.1
GPT-5.1 Instant
GPT-5.1 Pro
GPT-5.1-Codex-Max
GPT-5.3 Instant
GPT-5.3-Codex
GPT-5.4
GPT-5.4 Pro
GPT-5.5
GPT‑5-Codex
GPT‑5.3‑Codex‑Spark
GPT‑5.4 Thinking
Git
GitHub
OpenAI
OpenAI Codex

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

Arambh Labs

Founded

2024

Country

United States

Website

arambhlabs.com

Vendor Details

Company Name

OpenAI

Founded

2015

Country

United States

Website

openai.com

Alternatives

Alternatives

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