

Find out what your peers are saying about Snyk, Veracode, Black Duck and others in Software Composition Analysis (SCA).
| Product | Mindshare (%) |
|---|---|
| CAST Highlight | 1.3% |
| Snyk | 11.3% |
| Black Duck SCA | 9.0% |
| Other | 78.4% |
| Product | Mindshare (%) |
|---|---|
| Polyspace Code Prover | 1.2% |
| SonarQube | 11.8% |
| Checkmarx One | 8.0% |
| Other | 79.0% |

| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 1 |
| Large Enterprise | 6 |
| Company Size | Count |
|---|---|
| Midsize Enterprise | 1 |
| Large Enterprise | 6 |
CAST Highlight is a SaaS software intelligence technology that delivers rapid, fact-based insights across your entire application portfolio. By automatically analyzing the source code of hundreds or thousands of applications, CAST Highlight helps organizations assess cloud maturity, AI & Agentic readiness, software health, open source risk, resiliency, technical debt, and sustainability from a single lightweight scan.
CAST Highlight is designed for CIOs, CTOs, enterprise architects, cloud leaders, application owners, security teams, and modernization teams that need a fact-based way to prioritize modernization, cloud, and AI adoption decisions at scale. It helps teams identify which applications are ready to move quickly, which require remediation, and where hidden software risks may affect transformation cost, timelines, security, resilience, or business outcomes.
Unlike traditional manual or survey-based assessments, CAST Highlight analyzes application source code directly to rapidly segment portfolios, prioritize modernization paths, and uncover risks before they impact transformation programs.
Polyspace Code Prover boosts code reliability by identifying critical issues like memory corruption and null pointer dereferences, adhering to ISO 26262 standards.
Polyspace Code Prover offers advanced static code analysis tailored to detect complex runtime issues, making it a substantial asset in safety-critical software development. With features that facilitate easy integration with minimal tool switching, it effectively examines code segment runtimes for potential faults such as memory overflows. Polyspace Code Prover stands out by providing mathematical proofs of correctness, differentiating it from other static tools. However, improvements in processing speed and large-scale application handling remain necessary. While integration challenges exist with CI environments like AWS and Azure, the tool's efficiency is valued in automotive applications for unit-level verification and requirement-based component development, despite some scalability limitations.
What are Polyspace Code Prover's key features?In industries such as automotive, Polyspace Code Prover is crucial for Functional Safety validation. It is applied in diverse projects like vertical control systems and cluster infotainment, with a focus on requirement-based component development. Despite challenges in larger applications, it remains a vital tool for analyzing Simulink models and small-scale implementations.
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