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Legit is an AI-native ASPM platform that automates AppSec issue discovery, prioritization, and remediation. A trusted ASPM vendor for your AppSec and software supply chain security programs.

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AI-Native AppSec
AI-Native AppSec
Overview

AI is revolutionizing development - making it faster, smarter, and more autonomous. It’s also rewriting the rules of application security. Traditional AppSec tools weren’t designed for AI-driven dev processes. Legit is here to help.

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From Detect to Fix at Scale With AI-Powered Remediation

Human and AI developers are producing code faster than ever, and vulnerabilities are piling up. Legit’s AI-powered remediation arms developers with the information they need to pinpoint exactly what needs to be fixed and how.

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Leading enterprises trust Legit Security
Empower Developers to Fix What Matters,
Faster Than Ever
Speed and precision are everything in AppSec. AI-powered remediation ensures you respond to risk with pinpoint accuracy and in real time. By accelerating every stage of the remediation process – from identification to fix – you bridge silos between security and development, and more quickly close security gaps.

Secure AI-Generated Code with Legit ASPM

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Legit’s AI-Powered Remediation

Whether it’s vibe coding, using AI code assistants, or merging AI- and human-generated code, the new way to develop is now the only way to develop.

While other platforms identify vulnerabilities and produce both alerts and tickets, Legit connects – through AI – these with automated remediation. Legit correlates signals across code, cloud, and infrastructure to reduce noise and eliminate risk faster.

How Legit Enables AI-Powered Remediation

Legit enables fast, accurate, and scalable AI-powered remediation by:
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Linking issues to owners and
prioritizing based on real risk

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Delivering contextual remediation guidance inside the tools development teams already use

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Providing full traceability for
compliance and audit readiness

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Providing full traceability for
compliance and audit readiness

Frequently Asked Questions

AI-powered remediation uses AI to fix issues in code and remediate AppSec vulnerabilities with either minimal or no involvement from security engineers or developers. Rather than having a human developer execute fixes, AI-powered remediation sees AI agents do this work automatically.

AI-powered remediation can be used in numerous areas of security, including fixing code issues, remediating vulnerabilities, and addressing dependencies, misconfigurations, and secrets in AppSec. In addition, AI-powered remediation is useful for fixing issues across cloud and infrastructure, and in areas of data security. In short, AI-powered remediation can be applied in most domains of cybersecurity where developers or security engineers were previously tasked with fixing issues.

Legit uses AI extensively to help our customers improve the speed and accuracy of their AppSec programs. Legit applies AI to more quickly discover issues that previously would have to be uncovered by people. In addition, AI is applied to prioritize remediation of issues uncovered by mapping the full context of the application and its environment to determine whether a fix is critical or not. Lastly, Legit uses AI to automate remediation – time-consuming work previously done by developers or security engineers.

Legit maps AI-generated code throughout the SDLC, including input from GenAI tools and LLM-based assistants. It identifies where AI code lives, who introduced it, and how it aligns with security policy.

While other platforms identify vulnerabilities, Legit connects them to remediation. It correlates signals across code, cloud, and infrastructure to reduce noise and resolve risk faster.

Legit integrates directly into developer tools and workflows - IDEs, pull requests, CI/CD - delivering actionable fixes with context. Developers don’t have to switch tools or decipher generic advice. Instead, they get exactly what they need, where they work.

Related Resources

  • Software Supply Chain - eBook - ESG - Resource Library - Legit Security
    analyst reports

    ESG Survey: The Growing Complexity of Securing the Software Supply Chain eBook

    TechTarget’s Enterprise Strategy Group recently surveyed 368 IT, cybersecurity, and application development professionals to understand current software development practices, the impact and challenges of software supply chain attacks, and how organizations are using software supply chain security solutions.

    Read Now
  • A New Approach to Application Security - White Paper - Resource Library
    white papers

    A New Approach to Application Security

    Download the whitepaper and see how Legit is the new way to manage your application security posture for security, product and compliance teams.

    Read Now
  • Resource Library - Guide - The Top Software Supply Chain Security Pitfalls and How to Avoid Them
    white papers

    The Top Software Supply Chain Security Pitfalls and How to Avoid Them

    Learn more about common supply chain security mistakes and how to avoid them.

    Read Now

See more

Related Posts

ASPM Knowledge Base

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Request a demo including the option to analyze your own software supply chain.

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