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Snyk

Finding code vulnerabilities

Rank:

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724
Software Analysis
Developer security
Snyk has received positive feedback from users who appreciate its user-friendly interface, detailed reporting system, and effective vulnerability detection capabilities. However, some users have pointed out that the pricing may not be suitable for medium-sized businesses, and that certain languages or frameworks are not supported.
Screenshot of the homepage of snyk.io

👍 Advantages

  • Easy to use and implement, with minimal assistance needed from Snyk Team
  • Comprehensive reporting structure with remediation suggestions and integrations with management tools
  • Effective at finding vulnerabilities in code and monitoring for security mistakes in dependencies

👎 Disadvantages

  • Not suitable for threat detection
  • Expensive pricing for medium-sized businesses
  • Reporting capabilities need improvement
  • Some popular languages and frameworks not supported
  • Requires a Snyk Broker for self-hosted Gitlab instances

💰 Plans and pricing

  • Free
  • $98.00 per developer/month

Open Source: 

No

🎞️ Video

Use cases

  • Identifying and fixing vulnerabilities in third-party libraries and dependencies.
  • Securing container environments and identifying potential security risks.
  • Scanning IaC templates to identify security risks in cloud infrastructure.
  • Monitoring code in real-time to ensure that new vulnerabilities are not introduced.

Performance

Snyk is known for its high performance and accuracy in identifying security risks in code. The platform uses a combination of static analysis, dependency scanning, and container security to provide developers with a comprehensive view of their security risks. Snyk’s real-time monitoring capabilities ensure that new vulnerabilities are identified as soon as they are introduced.

Target audience

  • Developers
  • DevOps teams
  • Organizations of all sizes

Compatibility

Snyk is compatible with a wide range of systems, including cloud environments like AWS, Azure, and Google Cloud Platform, container environments like Kubernetes and Docker, and popular programming languages like Java, JavaScript, Python, and Ruby.

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