ASPM Platform
ASPM Platform
Overview

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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Secure AI Code & Apps
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 Code Remediation

Human and AI developers are producing code faster than ever, and vulnerabilities are piling up. Legit’s AI-powered code remediation arms developers with the information they need to pinpoint exactly what needs fixing 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 helps you respond to risk with greater precision in real time. By accelerating every stage of the remediation process, from identification to fix, you remove the friction between development and security and close critical security gaps faster than ever.

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See how Legit can help you move from a reactive, ticket-based approach to a proactive, automated and scalable remediation program. Request your demo today.

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Legit’s Application Security Remediation

Combining AI-generated and human-written code is the new standard for code development, and it's here to stay.

While other platforms stop at identifying vulnerabilities and creating tickets, Legit's AI-powered security remediation platform provides the crucial connection. By correlating signals across your software development life cycle (SDLC), Legit provides the deep context for true root-cause remediation for security vulnerabilities. This results in less noise, faster fixes and a measurable reduction in risk.

How Legit Delivers Automated
Software Vulnerability Remediation

Legit enables fast, accurate and scalable 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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Generating automated code fixes
for developer approval

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Providing full traceability for
compliance and audit readiness

Why Trust Legit? Answers to Frequently Asked Questions

Have questions about how AI is changing application security? We have answers.

AI-powered remediation uses AI to generate remediation guidance and code-fix suggestions with minimal manual effort from security teams while keeping developers in the loop to review and approach changes. Rather than starting from scratch, teams can use AI to automate the heavy lifting of drafting fixes.

AI-powered remediation can be applied across multiple layers of your technology stack. In AppSec, it suggests improvements to fix code and resolve vulnerabilities, while also addressing deeper risks like misconfigurations, exposed secrets and risky dependencies. Its capabilities also extend to securing your cloud posture, infrastructure and data.

Legit uses AI to help our customers improve the speed and accuracy of their AppSec programs. Our AI engine automatically surfaces security issues and risks faster and more accurately than manual reviews in many common workflows.

It analyzes the full application context to determine which vulnerabilities pose a genuine risk, allowing your teams to prioritize what's truly critical. It also automates the creation of code fixes, handling the time-consuming work previously left to developers and 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 adheres to 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

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    Reality Check on Securing AI-Generated Code

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    AppSec in the Age of AI

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

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