Snyk and CAST Highlight compete in the software composition analysis category. Snyk has the upper hand with its ease of integration and usage, extensive integrations, and an accurate vulnerability database, making it particularly attractive to developers.
Features: Snyk's simplicity and self-service nature, combined with extensive integration capabilities, provide quick vulnerability identification and remediation. Its accurate vulnerability database minimizes false positives. CAST Highlight offers a high-level overview and cloud-readiness insights without requiring code access, appealing to businesses focused on migration analytics.
Room for Improvement: Snyk could enhance security by integrating SAST and DAST, improving filtering and notifications, and expanding language support. CAST Highlight may benefit from more configuration options and better handling of platform-specific blockers.
Ease of Deployment and Customer Service: Snyk provides versatile public and private cloud deployment options and excellent support, including direct developer access. CAST Highlight is mostly on-premises with quick support responses and high technical expertise but lacks the deployment flexibility of Snyk.
Pricing and ROI: Snyk is considered more affordable with scalable licensing and is recognized for reducing vulnerability detection and remediation times, enhancing productivity and yielding high ROI. CAST Highlight, although expensive, is expected for its tool class, with both solutions claiming to reduce time spent on issue resolution, though Snyk has broader user engagement ROI.
Product | Market Share (%) |
---|---|
Snyk | 13.2% |
CAST Highlight | 1.1% |
Other | 85.7% |
Company Size | Count |
---|---|
Small Business | 2 |
Midsize Enterprise | 1 |
Large Enterprise | 4 |
Company Size | Count |
---|---|
Small Business | 20 |
Midsize Enterprise | 9 |
Large Enterprise | 21 |
CAST Highlight is a SaaS software intelligence product for performing rapid application portfolio analysis. It automatically analyzes source code of hundreds of applications in a week for Cloud Readiness, Software Composition Analysis (Open Source risks), Resiliency, and Technical Debt. Objective software insights from automated source code analysis combined with built-in qualitative surveys for business context enable more informed decision-making about application portfolios.
CAST is the software intelligence category leader. CAST technology can see inside custom applications with MRI-like precision, automatically generating intelligence about their inner workings - composition, architecture, transaction flows, cloud readiness, structural flaws, legal and security risks. It’s becoming essential for faster modernization for cloud, raising the speed and efficiency of Software Engineering, better open source risk control, and accurate technical due diligence. CAST operates globally with offices in North America, Europe, India, China. Visit www.castsoftware.com.
Snyk excels in integrating security within the development lifecycle, providing teams with an AI Trust Platform that combines speed with security efficiency, ensuring robust AI application development.
Snyk empowers developers with AI-ready engines offering broad coverage, accuracy, and speed essential for modern development. With AI-powered visibility and security, Snyk allows proactive threat prevention and swift threat remediation. The platform supports shifts toward LLM engineering and AI code analysis, enhancing security and development productivity. Snyk collaborates with GenAI coding assistants for improved productivity and AI application threat management. Platform extensibility supports evolving standards with API access and native integrations, ensuring comprehensive and seamless security embedding in development tools.
What are Snyk's standout features?Industries leverage Snyk for security in CI/CD pipelines by automating checks for dependency vulnerabilities and managing open-source licenses. Its Docker and Kubernetes scanning capabilities enhance container security, supporting a proactive security approach. Integrations with platforms like GitHub and Azure DevOps optimize implementation across diverse software environments.
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