Security where code is written

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Agentic Context & Prioritization

Constant change demands constant focus. Legit brings together application context, business impact, and AI-driven insight to separate real risk from noise, so teams can stay focused while everything else moves faster.
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Agentic Remediation

Finding risk is only the first step. Legit’s autonomous agents take action, resolving vulnerabilities with fixes that understand your standards, your workflows, and what matters most to your business. Every change is validated, so teams can keep building with confidence.
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Secure Agents & AI-Generated Code

Prevent risk at the source. Legit embeds security into the coding experience, feeding remediation insights into AI tools like Cursor, Claude Code, and GitHub Copilot. With real-time feedback from integrated SAST and SCA, developers see issues as they write. Each fix trains your coding agents to introduce fewer vulnerabilities over time.
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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.”

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."

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.”
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Legit’s Agentic AppSec Platform:
Context that Matters

Legit is the only platform that leads with secure AI-led coding – stopping vulnerabilities before commit. For Legit, find-it, fix-it is a thing of the past.

What makes this a durable advantage is context. Legit correlates code to cloud, so a critical vulnerability in an Internet-facing, PII-handling, revenue-generating application is treated as the priority it is – while a similar issue in a low-risk internal tool isn’t. Most point tools and ASPM platforms can’t tell the difference. Legit can. When Legit says it’s critical, it is.

Legit’s Agentic AppSec Platform

Generate Secure Code
  • Inject threat models, security skills, and business context directly into AI coding tools
  • Scan with Legit SAST and SCA as code is written, resolving issues pre-commit
  • Real-time guardrails against prompt injection, malicious MCP servers, secret leakage, and dangerous operations
  • Works across Cursor, GitHub Copilot, Claude Code, and more with the goal of zero new vulnerabilities
Agentic Remediation
  • Aggregate, deduplicate, and prioritize findings by exposure, reachability, exploitability, EPSS, CISA KEV, and business impact
  • Autonomous agents generate fixes and PRs automatically
  • Fixes validated against test suites before merge; agents learn from each codebase over time
Detect Risk
  • Always-on secret scanning across code and beyond
  • Code security via AST, SCA, and IaC scanners
  • CI/CD risk detection, PR checks, pre-receive hooks, gated build steps
  • Cuts false positives 95%+ (secret scanning) and total noise 90%+
Governance
  • Discover AI models, APIs, and data flows; flag material changes across code, GenAI models, MCP servers, and CI/CD
  • CI/CD discovery, Git security, compliance
  • Real-time, policy-based block/allow enforcement for MCP servers, skills, and plugins

Next stop, secure by default.

Every prompt, every commit, every deploy. Covered from code to cloud.