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One data layer for AppSec, instead of another disconnected tool.

Point tools scan in isolation and leave you to stitch findings together. Legit unifies prevention, detection, and remediation on one context layer built to run on your stack.

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Point tools were never meant to add up.

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A fragmented security architecture

SAST, SCA, secrets, and IaC scanners each hold their own view of risk, so no single tool can tell you what's reachable, exploitable, or actually worth fixing first.

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Integration overhead that never ends

Every new scanner means another connector to SCM, CI/CD, and ticketing, and another set of findings that don't share context with anything else in the stack.

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No shared context across the toolchain

Without a common data layer, prioritization happens tool by tool, so the same vulnerability can look critical in one system and invisible in another.

Traditional AppSec vs. Agentic AppSec.

Traditional AppSec

Finds issues after they ship

Buries teams in false positives

Leaves fixes to manual triage

Backlogs grow faster than teams

Agentic

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Stops issues before commit

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Prioritizes by real business risk

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Remediates autonomously

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Gets smarter with every fix

How
Legit
Works

Legit runs as one context layer across your stack: preventing issues at generation, prioritizing with a single risk model, and remediating through agents that plug into your existing tools.

Deploys on top of the tools you already run.

Legit connects to GitHub, GitLab, Wiz, and Jfrog, among others, as an Agentic AppSec layer, or natively replaces point tools where you're ready to consolidate.

Legit preventing vulnerabilities as AI writes code

One risk model scores every finding the same way.

Reachability and business context feed one risk model, so severity means the same thing whether a finding came from Legit or a connected 3rd party scanner.

Legit prioritizing findings by reachability and business context

Remediation agents plug into your existing workflow.

Agents open pull requests through your SCM, routed to the right owner, so remediation fits the architecture you have instead of replacing it.

Legit agents remediating vulnerabilities with reviewed pull requests

What changes with Legit

A single context layer for AppSec, not another silo to manage.

Cut noise across the whole toolchain

Context and reachability analysis reduce vulnerability noise by more than 90%, no matter which scanner in the stack surfaced the finding.

One risk model you can actually trust

AI-driven detection cuts false positives by over 95%, validated in secret scanning, so severity means the same thing across every connected tool.

Validated by security teams at scale

Legit is rated 4.8 on Gartner Peer Insights by architects who've run it alongside their existing stack.

"The platform did an outstanding job of correlating the findings from different tools that we use in the organization. Their product has matured a long way since we became their customers, the team has been very supportive and they have really valued our feedback. They have even included us as early adopters of certain features and made customizations that would benefit our organization and their other customers."

Product Security Engineer
IT Services

"Legit Security has been a game-changer for our application security and DevSecOps programs. As a financial services organization with complex CI/CD pipelines and multiple dev and engineering teams, we needed a single platform that could unify visibility across repos, build systems, and deployment environments - while providing actionable risk context."

Director, IT Security & Risk Management
Insurance

"We've had an excellent experience with Legit Security, it offers great visibility and actionable insights across our pipelines and repositories, making it easier to secure and streamline the development process."

Deputy CISO
Software Industry
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More insights for modern AppSec teams

Stop Drowning in the 30%

Stop Drowning in the 30%

A product security engineer described their AppSec pipeline as roughly 70% automated and 30% still manual. That manual slice is where teams get stuck, and where context-aware prioritization belongs.

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October 20, 2026
Agentic Remediation Just Got Bigger: Now Fixing Vulnerabilities in Your Dependencies, Not Just Your Code

Agentic Remediation Just Got Bigger: Now Fixing Vulnerabilities in Your Dependencies, Not Just Your Code

Legit Security's Agentic Remediation now tackles vulnerabilities in dependencies, ensuring faster, verified fixes and enhancing AppSec in an AI-driven landscape.

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October 20, 2026

Claude Mythos 5 Can Find the Vulnerabilities. But Which Ones Actually Matter?

Discover how Claude Mythos 5 enhances vulnerability detection in AppSec and learn to prioritize findings effectively.

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October 15, 2026
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See it run on your stack.

Get a demo built around your architecture: your tools, your integrations, your deployment model.