Legit Security, a leader in AI-native application security posture management (ASPM), announced the release of its Model Context Protocol (MCP) Server in Boston. This feature integrates real-time security checks into AI-led development, enabling developers to use AI code assistants like Cursor, GitHub Copilot, and Windsurf to identify, remediate, and verify vulnerabilities directly within code editors and IDEs.
Legit MCP Server launched on June 30, 2025, for AI-native ASPM.
Integrates with AI code assistants like Cursor, GitHub Copilot, Windsurf.
Provides real-time vulnerability checks and automated remediation.
Supports Model Context Protocol (MCP), an open standard for AI interoperability.
Reduces security risks in AI-generated code without workflow disruption.
Enables natural language queries for security posture reports.
The Legit MCP Server acts as an API-like interface, embedding security into AI-driven development workflows. It enables AI code assistants to perform in-code vulnerability checks during pre-production, enforce guardrails, and drive automated remediation. “AI has completely changed the way engineering teams build software,” said Liav Caspi, CTO of Legit Security. “Legit MCP empowers developers and AppSec teams to run security checks on the go, with no learning curve, while making secure coding 100 times easier, faster, and just more enjoyable.”
As an open standard, MCP ensures compatibility with AI-agnostic code editors and data sources, offering broad interoperability. Developers receive real-time, natural language insights, eliminating context switching, while security teams can query posture reports (e.g., “Show me vulnerability trends in internet-facing apps”) via Legit’s security data fabric.
AI-generated code accelerates development but introduces risks, as traditional security tools are not designed for AI-driven workflows. Legit’s AI-native ASPM platform addresses this by providing comprehensive visibility across the software development lifecycle (SDLC), from code to cloud. It identifies vulnerabilities, misconfigurations, and secrets in AI-generated code, reducing false positives by 85% and automating remediation to prevent issues before release.
The platform’s integration with tools like SAST, DAST, and SCA, combined with its risk prioritization engine, ensures developers focus on high-impact fixes. This aligns with emerging regulations, such as the EU’s AI Act and U.S. compliance requirements, addressing governance gaps in AI-led coding.
The global ASPM market is projected to grow at a 25% CAGR through 2030, driven by the rise of AI-first development and increasing cyber threats. Legit’s MCP Server positions it ahead of competitors like Wiz and Cycode by offering the only AI-native ASPM with end-to-end SDLC coverage, including AI model discovery and risk assessment. Posts on X, such as @CIOInfluence, highlight enthusiasm for the MCP Server’s ability to secure AI-led coding, reflecting strong industry sentiment.
Legit’s earlier 2025 releases, including a risk prevention dashboard and AI Security Command Center, complement the MCP Server, reducing remediation time and costs by preventing vulnerabilities pre-merge. The platform’s recognition in Gartner’s 2025 Innovation Insight for ASPM and awards like “Most Innovative Cybersecurity Company” underscore its leadership.
Legit Security, founded in 2020, serves enterprises like Citi and PayPal, protecting over 100,000 applications. The MCP Server builds on its AI-native ASPM, launched in 2023, which provides unified visibility, automated guardrails, and gamified secure development practices. By integrating with platforms like Claude and Microsoft Azure, Legit ensures seamless adoption while addressing the 80% of SDLCs expected to use generative AI by 2025, per Gartner.
The Legit MCP Server transforms application security by embedding trust and efficiency into AI-led coding, empowering developers and security teams to innovate securely in a rapidly evolving landscape.
The Legit Security ASPM platform is a new way to manage application security in a world of AI-first development, providing a cleaner way to manage and scale AppSec and address risks. Fast to implement, easy to use, and AI-native, Legit has an unmatched ability to discover and visualize the entire software factory attack surface, including a prioritized view of AppSec data from siloed scanning tools. As a result, organizations have the visibility, context, and automation they need to quickly find, fix, and prevent the application risk that matters most. Spend less time chasing low-risk findings and more time innovating.
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