Supply Chain SecurityApplication Security
Legit ASPM Platform
Unifies AppSec scanner findings and secures software supply chain risk across the SDLC.
Legit ASPM Platform Overview
What it does
The Legit ASPM Platform is an Application Security Posture Management (ASPM) system that unifies discovery, prioritization, and remediation of application security risk across the software development lifecycle. Rather than adding another scanner, it orchestrates existing static analysis (SAST), software composition analysis (SCA), and secrets tools, then correlates and de-duplicates their findings into a single risk model. It maps every pipeline, repository, and unmonitored asset, and scores issues by business criticality, internet exposure, API surface, and use of AI-generated code.
How it works
The platform connects to source control, CI/CD systems, and over 120 development and security tools to build a live inventory of the development environment. Software Bill of Materials (SBOM) generation, secrets detection, and open-source dependency analysis run alongside imported scanner results, while Material Change monitoring flags code and configuration changes that increase risk. AI discovery and the VibeGuard module govern AI-generated code across repositories. Root-cause analysis identifies chokepoints where one fix resolves many issues, and remediation is delivered through pull requests and ticketing workflows. Named customers include Kraft Heinz, AIG, and CBOE.
Credentials and traction
Recognized in Frost & Sullivan's Frost Radar for Global Application Security Posture Management (2024) and named a Representative Vendor in Gartner's software supply chain security guidance (2024). The platform serves regulated enterprises across financial services, consumer goods, and pharmaceuticals, with customers including AIG, Kraft Heinz, NYSE, Freddie Mac, and CBOE, along with security vendors such as Palo Alto Networks and Netskope.
Key Capabilities
mapped to solution categoriesMaintains a registry of all applications in scope, their associated scan coverage, and their AppSec tool assignments, surfaces applications with no active scanning.
Ingests and normalizes findings from multiple AppSec tools (SAST, DAST, SCA, container scanning, secrets scanning) into a single unified finding model with a consistent severity scale across sources.
Groups findings from multiple tools that refer to the same underlying vulnerability in the same code location, presenting one actionable finding instead of multiple redundant alerts.
Scores aggregated findings using multiple contextual factors (exploitability, reachability, internet exposure, threat intelligence, and business criticality) rather than individual tool severity ratings, producing a single actionable priority queue across all AppSec signals.
Integrates and triggers AppSec scanners across the pipeline, controlling which tests run at each stage (pull request, build, release) according to organizational policy rather than leaving each tool to run on its own schedule.
Pushes prioritized findings to developer ticketing (Jira, GitHub Issues, Linear), and IDEs with remediation context, removing the security team from the routing path.
Maps aggregated AppSec findings and scan coverage to regulatory and framework controls (PCI DSS Requirement 6, ISO 27001 Annex A.8.28, SOC 2), and generates audit-ready evidence and compliance reports across the application portfolio.
Evaluates all applications against organization-wide AppSec policies (minimum scan coverage requirements, severity thresholds, mandatory compliance checks), and flags non-compliant applications.
Links each finding to the specific code, component, or pipeline that introduced it and traces it from source through build to the deployed runtime, so teams can fix the underlying cause and see which projects contribute the most risk.
Assessment and policy enforcement of CI/CD pipeline configuration, access, and integrity.
Risk context for open-source dependencies including reachability, exploitability, and upgrade impact.
Live visibility into code, components, pipelines, and developer activity across the software development lifecycle.
On-demand generation of software, firmware, and hardware bills of materials (SBOM, FBOM, HBOM) for endpoints, servers, and network devices, extending component inventory below the application layer.
Assessment of developer and machine identity access and permissions across source control and pipelines.
Governs third-party software consumption to apply consistent software supply chain security policy.
Detection and provenance tracking of AI and ML components, models, and LLM usage within the software supply chain.
Integrations
compatible toolsImplementation & support
Info last updated on July 2, 2026