Security that keeps up with AI-driven development.
Legit's Agentic AppSec platform prevents vulnerabilities before they're introduced, gives security teams visibility into AI-driven development, and autonomously prioritizes and remediates risk - without slowing innovation.
AI changed how software is built.
AppSec has to change too.
AI coding agents accelerate development faster than traditional AppSec can keep up. More code is generated, more changes are shipped, and more risk is introduced before security ever gets involved.
Finding vulnerabilities after commit isn’t enough. Security teams need to prevent issues and generate secure code before anything enters the codebase, understand what matters most, and enable innovation without slowing it down.
A fundamentally different AppSec architecture.
Traditional AppSec tools find and fix vulnerabilities after they’re introduced. Agentic AppSec prevents them, prioritizes them with context, and remediates them autonomously through a unified platform built to help security teams stay ahead of AI-driven development.
Prioritize
Prioritize
Correlate code, cloud, runtime, and business context to cut through alert noise and identify the risks that need immediate attention.
Act
Act
Autonomous agents generate fixes, create pull requests, validate changes, and continuously improve over time, helping teams resolve critical risks faster without adding manual effort.
Prevent
Prevent
Secure AI-generated code in real time with policy enforcement, AI guardrails, and native scanning integrated directly into AI coding workflows.
Everything security teams need to secure AI-driven development.
Prevent vulnerabilities before they reach your repository.
Always-on visibility across your applications and pipelines.
Fix what matters first — with AI.
Control how AI is used across development.
Context changes everything.
Legit correlates code, cloud, runtime, and business context to understand what actually matters. Instead of treating every finding the same, the platform prioritizes risk based on real-world exposure, exploitability, and business impact. Security teams spend less time chasing alerts and more time addressing what matters most.
