Fast Facts
- Company HQ: Global HQ in Tel Aviv, Israel; U.S. headquarters in Boston, Massachusetts
- Number of Employees: 51-200 (estimated as of July 2025)
- Ownership: Private
- Investment: Raised $70 million across two funding rounds, with the latest being a $40 million Series B round in September 2023.
- Founded: 2020
The Application Security Posture Management (ASPM) market is experiencing significant growth, which is being driven by an increasing emphasis on security and compliance within software development. Organizations adopting ASPM solutions are typically looking for automated vulnerability detection and security policy enforcement across the entire software development lifecycle (SDLC), and a solution that will help unify their development, security, and operations teams for more secure, agile software development. In addition, they may be seeking the ability to better secure the software supply chain, e.g., through hardening the CI/CD and identifying and managing secrets throughout the SDLC.
As adoption increases, organizations face challenges with alert fatigue and prioritization, complexity of integration with other tools in the development and build pipelines, and a lack of security expertise when it comes to understanding and addressing vulnerabilities flagged by the tool.
Legit Security’s Approach
Legit Security is an AI-native ASPM platform designed to shift security left, enabling developers to address vulnerabilities early in the SDLC while supporting enterprise security teams with automation, compliance, and governance for complex, AI-driven DevOps environments.
Unlike legacy tools focused on siloed vulnerability scanning, Legit Security provides end-to-end visibility and security across code, cloud, AI-generated code, and large language models (LLMs), addressing the needs of complex environments with multiple teams and business lines.
Integrated natively with popular CI/CD pipelines, ITSM platforms, AppSec products, and other developer tools, Legit Security provides granular insights into risk and compliance metrics across the entire SDLC. Let’s take a look at some of the platform’s key features:
- Application Security Posture Management (ASPM): Using breadcrumbing and looking at log and config. files and the outputs of build assets, Legit Security discovers and maps all SDLC assets, including repositories, AI models, and shadow assets like developer-created servers. Legit also integrates with various AppSec tools (SAST, DAST, SCA, Cloud, etc.) to identify, correlate, and prioritize vulnerabilities. This provides developers with visibility over the security of the assets in use in their environment, reducing integration risks, while enabling security teams to build a comprehensive picture of their entire attack surface so they can prioritize security efforts and remediation actions.
- Secrets detection and prevention: The platform’s AI-powered secrets scanning identifies secrets such as credentials, API keys, and PII across all areas of your development environment—including Confluence, Teams, Slack, source code, and more. Legit uses AI to detect secrets and to reduce false positives by as much as 90%. Developers can remediate leaks during coding via pull request checks, minimizing exposure, while security teams can enforce zero-trust policies to help prevent data breaches. This feature is available within the Legit ASPM platform or as a standalone solution.
- AI-powered code security: Legit provides capabilities to greatly accelerate issue remediation, including AI remediation, which provides contextual remediation code snippets, as well as the ability to open pull request fixes directly through Legit. Legit also launched an MCP Server, which allows developers to integrate Legit with AI code assistants (e.g., Cursor, CoPilot, Claude, Windsurf) to ensure AI-generated code is secure.
- Software supply chain security: Legit Security maps SDLC assets and security controls, including shadow assets and AI-generated code, and secures supply chain dependencies. The platform’s automated discovery enables developers to remediate issues early in the development pipeline, while its vulnerability scanning and dependency mapping capabilities enable security teams to mitigate supply chain attacks. This is particularly critical for industries like manufacturing and technology, where supply chain disruptions can greatly impact operations.
- AI security posture management: Legit identifies AI risks such as malicious models or data leakage in LLMs or AI-driven software. It also enables security teams to enforce AI-specific policies to prevent unapproved AI models or enforce security controls on AI pipelines, aligning with OWASP standards and enabling developers to confidently integrate AI tools that are marked as secure.
- Application security vulnerability management: The platform integrates with security scanning tools to prioritize vulnerabilities with risk-based scoring, factoring in CVE scores, exploitability, business impact, reachability, and internet exposure. This is crucial for buyers in high-release environments that are focused on rapid risk prioritization and vulnerability management.
Continuous compliance and Software Bill of Materials (SBOM) generation: Legit tracks compliance and generates SBOMs, aligning with frameworks like SOC 2, GDPR, PCI-DSS, and NIST. Developers can use the platform’s compliance reporting tools to ensure compliant coding practices, reducing rework, while security teams can monitor and mitigate compliance drift across the SDLC, streamlining audits for global regulatory requirements.
Market Position
Legit Security is an up-and-coming provider in the ASPM market. Positioned as an enterprise-grade solution for large development teams managing complex environments, its main competitors are pure-play ASPM vendors, though it also competes with secrets managers and vulnerability management platforms. In a competitive space, Legit Security distinguishes itself with its AI-native capabilities and comprehensive code-to-cloud visibility.
Use Cases
- Application vulnerability management: Legit Security identifies and remediates vulnerabilities across code, cloud, and supply chain, with risk-based scoring to help teams prioritize remediation efforts.
- SDLC visibility, security, and compliance: Legit Security maps and secures the entire SDLC, ensuring governance and compliance with frameworks like SOC 2, GDPR, and NIST.
- Secrets detection and prevention: Legit Security detects and mitigates exposed credentials and API keys across source code and environments. This capability is available as part of the broader platform and as a standalone solution.
- Software supply chain security: Legit Security discovers and secures third-party assets within the SDLC—including shadow assets and AI-generated code—to prevent supply chain attacks. Legit also hardens the SDLC configurations, detects incidents such as code leakage or tampering, and helps build a secure software factory.
- AI security posture management: Legit Security identifies and mitigates risks in AI-driven development environments, enabling dev teams to safely and confidently use AI tools and LLMs.
The Interface
Strengths
- Unified dashboard: Legit Security’s reporting dashboards provide a clear, centralized view of security posture, aligning DevOps and business teams with metrics on found vulnerabilities, risks, and compliance deviations.
- Mapping and discovery: Legit Security uses breadcrumbing and deep code and pipeline analysis to create a full inventory of the development environment, including repositories, AI models, dependencies, APIs, and shadow assets, providing teams with a complete view of their attack surface. It also maps out the entirety of the team’s pipeline in an SDLC graph and discovers the entire security stack.
- Remediation actions: Legit Security’s root cause remediation enables teams to quickly address multiple issues with a single fix across the entire SDLC. The platform also consolidates vulnerabilities across tools and prioritizes risks based on CVE scores, exploitability, and potential business impact. AI remediation also greatly decreases the amount of time developers spend on fixes.
- Usage optimization and governance: Legit Security tracks security controls, flags redundant tools and services, compares license count purchases with actual usage, and supports pull request checks, pre-receive hooks, and analytics.
- Workflows and templates: As well as custom policy creation, Legit Security offers over 3,000 out-of-the-box policies for issues such as MFA enforcement, pipeline issues, and dependency vulnerabilities that often aren’t highlighted by traditional tools. It ties policies to known compliance frameworks to help teams track compliance drift, and enables teams to assign users to take responsibility for addressing certain issues.
- Integrations: Legit Security offers native integrations with a variety of developer tools, source control management tools, CI/CD tools, cloud providers, and ITSM platforms. Customers can also request that custom integrations be built, with a turnaround of two weeks.
Cautions
- Not just a scanning tool: While it does offer scanning capabilities (SAST, SCA, pipeline, and IaC), Legit Security’s core value lies in ASPM orchestration—this means it may not be the best solution for smaller teams looking solely for vulnerability scanning.
- Enterprise focus: This is an enterprise-grade platform designed for teams of 200-12,000 developers; it’s not suitable for small businesses that are mostly concerned with basic vulnerability scanning.
Summary
The core philosophy behind Legit Security’s platform is “find, fix, prevent”, and this AI-native ASPM platform does just that. It excels in providing end-to-end SDLC visibility, usage optimization, compliance assurance, and automated vulnerability management for large enterprises with complex, high-release development environments.
While not ideal for small businesses seeking basic scanning, its robust integrations, highly customizable policies, and risk-based prioritization make Legit Security a compelling choice for mature organizations looking to secure AI-driven, cloud-native development processes at scale.
