AI-native ASPM platform automating AppSec issue discovery and remediation.

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April 30, 2026

Legit Security

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AI-native ASPM platform automating AppSec issue discovery and remediation.

Open Source Appsec AI-Assisted Development Application Security Vulnerability Remediation Security Automation

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Overview

Legit Security provides an AI-native Application Security Posture Management (ASPM) platform. This tool is designed to detect, address and prevent AppSec risks originating from AI-generated code, secrets, and significant vulnerabilities.

It automates AppSec issue discovery, prioritization, and remediation, enhancing your application and software supply chain security programs. One crucial feature is the unified vulnerability remediation that works to holistically address security weaknesses.

The platform also supports Static Application Security Testing (SAST) and Software Composition Analysis (SCA) for enhanced code security. The secrets detection and prevention feature further bolsters security by scouting and controlling sensitive, undisclosed data.

Plus, it offers complementary features like advanced code change management and compliance mechanisms. Notably, this platform is built for modern, AI-assisted development processes, which traditional AppSec tools may not adequately support.

It accounts for the ways AI is reshaping development, making it faster, more intelligent, and increasingly autonomous. From app development to application security, this tool helps organizations navigate the new landscape of AI-driven processes efficiently.

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February 13, 2024

Initial release of Legit Security.

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Pros and Cons

Pros

Unified vulnerability remediation

Static Application Security Testing

Software Composition Analysis

Advanced code change management

Compliance mechanisms

Securities detection and prevention

Risk detection and prevention

Software supply chain security

Automated AppSec issue discovery

Automated AppSec risk prioritization

Automated AppSec risk remediation

Integrated secrets tracking

Efficient vulnerability management

Customizable security guardrails

Real-time vulnerability detection

Integrated management console

Policy-based access restrictions

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Cons

No Multi-Factor Authentication

Lacks Dynamic Testing Support

No developer training

Limited Integration options

May lack detailed log reports

Dependency on AppSec

No mention of user-access control

No explicit data encryption

View 3 more cons

Q&A

What is the purpose of the Legit Security platform?

The purpose of Legit Security platform is to provide an AI-native Application Security Posture Management (ASPM). This platform is designed to detect, address, and prevent application security risks originating from AI-generated code, secrets, and significant vulnerabilities. It offers features such as automated issue discovery, prioritization, and remediation, as well as unified vulnerability remediation, secrets detection and prevention, compliance mechanisms, and enhanced code security.

How does Legit Security support modern, AI-assisted development processes?

Legit Security supports modern, AI-assisted development processes by being AI-native, which means it's particularly designed for the new AI-driven methodologies in software development. Traditional Application Security (AppSec) tools may not adequately support the rapidly evolving AI-assisted processes. Legit Security platform, on the other hand, accounts for the ways AI is reshaping development, making it faster, more intelligent, and increasingly autonomous.

What is the significance of Legit Security's secrets detection and prevention feature?

The secrets detection and prevention feature in Legit Security enhances security by scouting and controlling sensitive, undisclosed data. By finding and managing such secrets, potential security risks pertinent to sensitive information are reduced. This feature underlines Legit Security's capability to effectively manage hidden, potentially exploitable information within the application development process.

How does Legit Security automate AppSec issue discovery, prioritization, and remediation?

Legit Security automates Application Security (AppSec) issue discovery, prioritization, and remediation by leveraging an AI-powered approach. It identifies potential issues and risks generated from AI code, secrets, and vulnerabilities, and assigns priorities to these identified risks automatically. For remediation, it offers a unified vulnerability remediation feature that works to address security weaknesses holistically.

How does Legit Security handle vulnerabilities within AI-generated code?

Legit Security addresses vulnerabilities within AI-generated code through its unifying vulnerability remediation feature. This feature identifies security weaknesses within the AI-generated code, then works broadly to address these vulnerabilities. The aim is to provide efficient remediation against potential threats stemming from the AI-assisted software development process.

What type of testing does Legit Security platform support?

Legit Security platform supports Static Application Security Testing (SAST) and Software Composition Analysis (SCA). SAST identifies common vulnerabilities in the application source code while SCA analyzes open source components in the software application. Both types of testing contribute to better code security within the platform.

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How can the Legit Security platform enhance software supply chain security programs?

Legit Security enhances software supply chain security programs by automating the discovery, prioritization, and remediation of Application Security (AppSec) issues. The platform is designed to oversee the application and software supply chain security effectively, troubleshooting AppSec risks associated with AI-generated code and other significant vulnerabilities.

What is the role of advanced code change management in Legit Security?

The role of advanced code change management in Legit Security platform is to govern the lifecycle of changes, right from initiation, tracking, to the final deployment. It tracks crucial code changes in the software development process, ensuring controlled modifications and lower risks related to the change management process.

How does the unified vulnerability remediation work in Legit Security?

Legit Security's unified vulnerability remediation is a feature designed to address security weaknesses interactively. It inspects potential vulnerabilities and issues in the AI-driven software development process and takes appropriate measures to holistically remediate them. This feature handles vulnerabilities resulting both from normal code and AI-generated code.

What is the compliance mechanism in Legit Security and how does it work?

Legit Security's compliance mechanisms work by establishing a set of guidelines within the software development process, ensuring adherence to these standards and reducing risk of non-compliance. Not only does it automatically enforce these policies across development processes, but also it assists in automated compliance reporting.

What does it mean when it says that Legit Security is AI-native?

When Legit Security is referred to as AI-native, it means that the platform has been designed with AI at its core. It's particularly built to address Application Security (AppSec) challenges and issues that revolve around AI-driven development processes. This AI-centric design allows Legit Security to effectively detect and manage potential risks in the evolving landscape of AI-assisted software development.

How does Legit Security help in managing AppSec risks?

Legit Security helps in managing AppSec risks by automating the process of risk discovery, prioritization, and remediation. Through its AI-native capabilities, it identifies potential AppSec threats originating from AI-generated code, secrets, and vulnerabilities. The platform then prioritizes these risks based on their potential impact and automatically orchestrates remediation efforts.

How does Legit Security's intelligence compare to traditional AppSec tools?

Compared to traditional AppSec tools, Legit Security's intelligence is specifically designed for the age of AI-assisted software development. Unlike traditional tools that fail to adequately support new development methods, Legit Security enhances its capabilities to match the pace of AI-driven development. It understands how AI is reshaping development and caters to the specific needs of AI-integrated processes.

In what ways does Legit Security contribute to risk detection and prevention?

Legit Security contributes to risk detection and prevention through its automated AppSec issue discovery. AI-native capabilities enable the platform to detect potential issues and vulnerabilities in the AI-generated code, therefore, preventing them before they pose a more significant risk. Its feature of secrets detection and prevention further bolsters security by identifying and managing sensitive data within code.

What are the unique characteristics of Legit Security in relation to AI Security?

Unique characteristics of Legit Security in relation to AI Security include its AI-native design to automate AppSec issue discovery, prioritization and remediation. It offers comprehensive security analysis of AI-generated codes, efficiently manages hidden information with its secrets detection and prevention, supports SAST and SCA for enhanced code security, and provides compliance mechanisms. It is also tailored to support modern AI-assisted development processes.

How does Legit Security support Static Application Security Testing (SAST)?

Legit Security supports Static Application Security Testing (SAST) by providing a mechanism that allows for the identification of common vulnerabilities in the application source code. This form of white-box security testing looks at the application's code to find potential security flaws before the code is compiled, thus enhancing the overall security posture of the application.

How does the Software Composition Analysis (SCA) work on the Legit Security platform?

The Software Composition Analysis (SCA) in Legit Security works by scrutinizing open source components employed in the software application. By doing so, it can discover potential security vulnerabilities, licensing issues, or outdated libraries, which could pose risks. This allows for a thorough and careful analysis of all software components to prevent possible security threats.

How does Legit Security's AI-assisted development support risk prioritization?

Legit Security supports risk prioritization in AI-assisted development through the platform's inherent AI capabilities. Legit Security automatically assigns priorities to AppSec risks and issues detected in the software development process. This AI-assisted prioritization helps teams focus their efforts on resolving the most critical vulnerabilities first, thereby streamlining the remediation process.

How does Legit Security ensure code security?

Legit Security ensures code security through its support for Static Application Security Testing (SAST) and Software Composition Analysis (SCA). Both these processes scrutinize the application's code at different stages and for different vulnerabilities, ensuring a comprehensive assessment of potential security risks. The goal is to find and address vulnerabilities at the earliest stage possible, therefore enhancing the security of the code.

How does Legit Security contribute to the security of the software supply chain?

Legit Security contributes to the security of the software supply chain by identifying and remediating AppSec issues that may originate from AI-generated code, secrets, and significant vulnerabilities. The platform provides security visibility and control across engineering tools and workflows, ensuring that security is kept pace with software development. This results in a more resilient and secure software supply chain.

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