Snyk vs Semgrep: Complete Security Testing Platform Comparison 2026

Modern application security requires robust static analysis tools that can identify vulnerabilities without slowing down development cycles. Snyk and Semgrep represent two leading approaches to application security testing, each offering unique strengths for development teams. Snyk provides comprehensive security coverage across code, dependencies, containers, and infrastructure as code with strong developer workflow integration. Semgrep focuses on precise static application security testing (SAST) with customizable rules and minimal false positives. This detailed comparison examines both platforms across critical evaluation criteria including security capabilities, integration options, pricing models, and developer experience. Understanding these differences helps teams select the security solution that best aligns with their development processes and security requirements.

Understanding Application Security Testing Fundamentals

Application security testing encompasses multiple approaches to identify vulnerabilities throughout the software development lifecycle. Static Application Security Testing (SAST) analyzes source code without executing it, while Software Composition Analysis (SCA) examines third-party dependencies for known vulnerabilities.

Organizations require security tools that integrate seamlessly into existing development workflows. Traditional security testing often creates bottlenecks by requiring separate review processes. Modern platforms address this challenge through IDE integration, pull request automation, and developer-friendly reporting.

The rise of DevSecOps emphasizes “shift-left” security practices. Teams can address vulnerabilities earlier when remediation costs less and impacts are minimal. Both Snyk and Semgrep support this approach through different methodologies and technical implementations.

Security tool effectiveness depends on accuracy, speed, and actionable insights. False positives waste developer time and reduce trust in security findings. Comprehensive coverage across programming languages and frameworks ensures consistent protection across diverse codebases.

Snyk Platform Overview and Core Capabilities

Snyk offers a comprehensive security platform covering four main areas: code analysis, dependency scanning, container security, and infrastructure as code testing. The platform emphasizes developer experience through extensive integrations and automated remediation suggestions.

Snyk Code provides static application security testing with support for major programming languages including JavaScript, Python, Java, C#, and Go. The tool uses semantic analysis to understand code context and reduce false positives compared to traditional pattern-matching approaches.

The dependency scanning capabilities examine both direct and transitive dependencies across package managers. Snyk Open Source maintains a comprehensive vulnerability database updated continuously with new security disclosures. The platform provides fix recommendations including automatic pull requests for dependency updates.

Container security features scan base images and application layers for vulnerabilities. Integration with container registries enables continuous monitoring throughout deployment pipelines. Infrastructure as code scanning covers Terraform, CloudFormation, and Kubernetes configurations.

Snyk’s developer-first approach includes IDE extensions, CLI tools, and webhook integrations. The platform provides detailed remediation guidance with code examples and priority scoring based on exploitability and business impact.

Snyk Security Testing Approach

Snyk employs a multi-layered security testing strategy that combines automated scanning with curated vulnerability intelligence. The platform’s semantic analysis engine examines code structure and data flow patterns rather than relying solely on signature-based detection.

The vulnerability database incorporates research from Snyk’s security team alongside community contributions and industry sources. Priority scoring considers factors including exploit availability, environmental context, and potential business impact.

Automated remediation features distinguish Snyk from traditional security scanning tools. The platform generates fix pull requests for dependency updates and provides specific code change recommendations for application vulnerabilities.

Semgrep Platform Analysis and Technical Strengths

Semgrep focuses exclusively on static application security testing with an emphasis on accuracy and customization. The platform uses pattern-based rules that can be tailored to specific coding standards and security requirements.

Rule-based architecture allows teams to create custom detection logic using Semgrep’s declarative syntax. The extensive rule library covers common vulnerability patterns including injection attacks, authentication bypasses, and data exposure risks.

Language support includes Python, JavaScript, TypeScript, Java, Go, Ruby, PHP, C, C++, and others. The parsing engine understands language-specific syntax and semantics, enabling precise pattern matching without excessive false positives.

Semgrep emphasizes transparency in its detection methodology. Teams can examine rule logic, modify existing rules, and contribute new patterns to address emerging threats or organization-specific requirements.

The platform provides both cloud-hosted and self-hosted deployment options. Privacy-conscious organizations can run Semgrep entirely within their infrastructure while still receiving rule updates and security intelligence.

Semgrep Rule System and Customization

Semgrep’s rule system represents a significant differentiator in the static analysis market. Rules use a YAML-based syntax that captures both syntactic patterns and semantic relationships within code.

The rule registry contains thousands of pre-built patterns covering OWASP Top 10 vulnerabilities, language-specific security issues, and compliance requirements. Community contributions expand coverage through shared rules and validation feedback.

Custom rule creation enables organizations to enforce internal security standards and detect application-specific vulnerability patterns. The rule testing framework allows validation against sample code to ensure accuracy before deployment.

Rule performance optimization features help teams balance comprehensive coverage with scan speed requirements. Targeted rule sets can be applied to specific repositories or file types to minimize scanning overhead.

Security Testing Capabilities Comparison

Both platforms provide static application security testing, but their approaches and coverage areas differ significantly. Understanding these distinctions helps teams evaluate alignment with specific security requirements.

Snyk’s component-centric approach provides broader security coverage across the entire application stack. This comprehensive view helps teams understand security risks from multiple vectors including third-party dependencies and deployment configurations.

Semgrep’s code-centric methodology delivers deeper analysis of application logic and custom code vulnerabilities. The platform excels at detecting complex security patterns that require understanding of application-specific business logic.

Vulnerability detection accuracy varies between platforms based on analysis methodology. Snyk’s semantic analysis reduces false positives compared to traditional SAST tools but may still generate noise for complex codebases. Semgrep’s rule-based approach provides precise control over detection logic, enabling teams to fine-tune accuracy for their specific environments.

Language Support and Coverage Analysis

Programming language support directly impacts security testing effectiveness across diverse development environments. Both platforms cover major languages but with different levels of maturity and feature completeness.

Snyk provides robust support for JavaScript, TypeScript, Python, Java, C#, PHP, Ruby, Go, Scala, and Swift. Framework-specific detection includes specialized rules for React, Angular, Spring, Django, and other popular libraries.

Semgrep supports over 30 programming languages including Python, JavaScript, TypeScript, Java, Go, C, C++, Ruby, PHP, Rust, and Kotlin. The generic parsing engine enables rule creation for less common languages and domain-specific languages.

Language maturity levels vary between platforms. Snyk’s semantic analysis provides deeper insights for well-supported languages but may have limited coverage for newer or niche technologies. Semgrep’s pattern-based approach offers more consistent coverage across languages but requires rule development for specialized frameworks.

Developer Experience and Workflow Integration

Developer adoption depends heavily on seamless integration with existing development tools and workflows. Both platforms prioritize developer experience but through different implementation approaches.

Snyk emphasizes zero-configuration security through automated scanning and intelligent defaults. The platform integrates directly with popular IDEs including Visual Studio Code, IntelliJ IDEA, and Eclipse. Real-time vulnerability detection provides immediate feedback during development.

Pull request integration automatically scans code changes and provides security feedback before merge. Developers receive actionable remediation guidance including code examples and fix suggestions. The platform maintains context about previous findings to avoid alert fatigue.

Semgrep focuses on precision and control over automated convenience. Developers can examine rule logic and understand exactly why specific findings were flagged. Custom rule creation enables teams to enforce internal security standards and coding practices.

The command-line interface supports local testing and CI/CD integration without requiring cloud connectivity. Self-hosted deployment options address privacy and compliance requirements for sensitive codebases.

IDE Integration and Real-time Feedback

Integrated development environment support enables security testing during active coding sessions. Real-time feedback helps developers address vulnerabilities immediately rather than discovering issues during later review stages.

Snyk’s IDE extensions provide inline vulnerability highlighting with detailed explanations and fix suggestions. Background scanning monitors file changes and updates security status without interrupting development flow.

The extensions integrate with popular development environments including Visual Studio Code, JetBrains IDEs, Eclipse, and Visual Studio. Developers can access full vulnerability details, remediation guidance, and dependency information directly within their preferred development environment.

Semgrep offers IDE integration through Language Server Protocol (LSP) support. This approach provides consistent functionality across editors including Visual Studio Code, Vim, Emacs, and Sublime Text. Rule customization enables teams to tailor IDE feedback to specific coding standards.

CI/CD Pipeline Integration Strategies

Continuous integration and deployment pipeline integration ensures security testing occurs automatically throughout the development lifecycle. Both platforms support various CI/CD systems with different configuration approaches.

Snyk provides pre-built integrations for Jenkins, GitHub Actions, GitLab CI, Azure DevOps, and other popular platforms. Automated security gates can block deployments based on vulnerability severity and exploitability scores.

The platform offers flexible policy configuration including vulnerability thresholds, dependency licensing requirements, and custom security standards. Teams can define different policies for development, staging, and production environments.

Semgrep supports CI/CD integration through Docker containers, GitHub Actions, and direct CLI execution. The platform provides baseline management features to focus on newly introduced vulnerabilities rather than existing technical debt.

Policy as code capabilities enable teams to version control security configurations alongside application code. This approach ensures consistent security standards across projects and facilitates compliance documentation.

Accuracy and False Positive Analysis

Security tool accuracy directly impacts developer productivity and security program effectiveness. High false positive rates create alert fatigue and reduce trust in security findings.

Independent reviewers have confirmed that Semgrep dramatically reduces false positives compared to traditional SAST tools. The rule-based approach enables precise pattern matching without generating excessive noise from irrelevant code patterns.

Snyk’s semantic analysis improves accuracy over signature-based tools but still generates moderate false positives for complex codebases. The platform provides confidence scoring and context information to help developers prioritize findings.

Rule-level visibility in Semgrep allows security teams to understand exactly why specific findings were flagged. This transparency enables rapid triage and reduces investigation time for potential false positives.

Contextual analysis capabilities vary between platforms. Snyk examines data flow and execution context to reduce false positives from unreachable code paths. Semgrep’s pattern matching focuses on syntactic accuracy but may require additional context rules for complex scenarios.

Vulnerability Prioritization and Risk Assessment

Effective vulnerability management requires intelligent prioritization based on exploitability, business impact, and environmental context. Both platforms provide different approaches to risk assessment and finding prioritization.

Snyk’s priority scoring considers multiple factors including exploit availability, CVSS scores, vulnerability age, and business impact. The platform provides contextual information about whether vulnerabilities are reachable through application execution paths.

Integration with runtime monitoring enhances prioritization accuracy by identifying actively used code paths and dependencies. This approach helps teams focus remediation efforts on vulnerabilities that could impact running applications.

Semgrep provides rule-based priority classification with customizable severity levels. Teams can assign priority scores based on internal security standards and business requirements. Custom metadata enables additional context including compliance mappings and remediation timelines.

AI-powered triaging assistance helps security teams process large volumes of findings efficiently. Machine learning models identify patterns in historical remediation decisions to suggest appropriate prioritization for new vulnerabilities.

Pricing Models and Cost Considerations

Security tooling costs include licensing fees, implementation overhead, and ongoing operational expenses. Understanding pricing structures helps organizations budget effectively for application security programs.

Snyk offers tiered pricing based on feature sets and usage volumes. The free tier provides basic scanning for open source projects with limited commercial features. Team plans include advanced security testing, priority support, and enhanced integrations.

Enterprise pricing includes unlimited scanning, advanced reporting, single sign-on integration, and dedicated support. Large organizations benefit from volume discounts and custom pricing arrangements based on specific requirements.

Semgrep provides free access to core SAST capabilities with optional paid features for team collaboration and advanced reporting. The Team tier includes centralized policy management, SAML authentication, and priority support.

Enterprise features encompass advanced triaging capabilities, custom rule development support, and dedicated deployment assistance. Self-hosted deployment options may reduce ongoing costs for organizations with significant scanning volumes.

Total Cost of Ownership Analysis

Comprehensive cost analysis includes implementation time, training requirements, and ongoing operational overhead. These factors significantly impact total cost of ownership beyond initial licensing fees.

Snyk’s comprehensive platform approach may reduce overall tooling costs by consolidating multiple security testing capabilities. Automated remediation features can decrease manual effort required for vulnerability management and resolution.

Implementation overhead typically requires minimal configuration due to intelligent defaults and extensive pre-built integrations. Developer training focuses on interpreting findings and applying remediation guidance rather than tool configuration.

Semgrep’s focused approach may require additional tools for comprehensive security coverage including dependency scanning and container security. However, precise detection capabilities can reduce false positive investigation time and improve developer productivity.

Custom rule development may require initial investment in security expertise but enables long-term cost optimization through tailored detection logic. Organizations with specialized security requirements benefit from this flexibility.

Deployment Options and Infrastructure Requirements

Deployment flexibility addresses diverse organizational requirements including privacy constraints, compliance mandates, and infrastructure preferences. Both platforms offer different deployment models with varying capabilities.

Snyk primarily operates as a cloud-hosted service with optional on-premises components for sensitive environments. The hybrid architecture enables secure scanning while maintaining connectivity for vulnerability intelligence and updates.

Private cloud deployment options address regulatory requirements and data sovereignty concerns. Organizations can deploy Snyk within their infrastructure while receiving centralized management and reporting capabilities.

Semgrep provides comprehensive self-hosted deployment options alongside cloud-hosted services. Teams can run complete security scanning entirely within their infrastructure without external dependencies. Air-gapped environments receive periodic rule updates through manual synchronization processes.

Container-based deployment simplifies integration with existing infrastructure and orchestration platforms. Docker images enable consistent deployment across development, staging, and production environments.

Scalability and Performance Characteristics

Security tool performance impacts development velocity and CI/CD pipeline efficiency. Scaling characteristics determine suitability for organizations with large codebases and high-frequency scanning requirements.

Snyk’s cloud infrastructure provides automatic scaling for variable workloads without requiring capacity planning or infrastructure management. The platform handles traffic spikes during build processes and deadline-driven development cycles.

Distributed scanning capabilities enable parallel processing of large repositories and monorepo architectures. Incremental scanning focuses on changed code to minimize processing time and resource consumption.

Semgrep’s local execution model provides predictable performance characteristics based on available computing resources. Parallel processing capabilities utilize multiple CPU cores for faster scanning of large codebases.

Rule optimization features help teams balance comprehensive coverage with performance requirements. Targeted rule sets can be applied to specific file types or directory structures to minimize scanning overhead.

Enterprise Features and Compliance Support

Enterprise organizations require additional capabilities including centralized management, compliance reporting, and integration with existing security infrastructure. Both platforms provide enterprise-focused features with different approaches.

Snyk offers comprehensive policy management capabilities including custom security standards, vulnerability thresholds, and automated enforcement across projects. Centralized administration enables consistent security configurations across development teams.

Compliance reporting supports industry standards including SOC 2, ISO 27001, and regulatory frameworks such as GDPR and HIPAA. Automated report generation reduces manual effort required for audit preparation and ongoing compliance monitoring.

Integration with enterprise identity providers includes SAML, LDAP, and OAuth support. Role-based access control enables granular permissions based on organizational structure and security responsibilities.

Semgrep provides policy as code capabilities enabling version-controlled security configurations. Teams can define custom policies using the same rule syntax used for vulnerability detection. Compliance mappings link specific rules to regulatory requirements and industry standards.

Integration with Security Operations

Security operations integration enables correlation between application security findings and broader organizational security monitoring. Both platforms provide different approaches to security orchestration and incident response.

Snyk integrates with SIEM platforms and security orchestration tools through APIs and webhook notifications. Security teams can correlate application vulnerabilities with runtime threats and network security events.

The platform provides detailed vulnerability metadata including CVE identifiers, exploit signatures, and remediation timelines. This information enables security teams to assess potential impact and prioritize response efforts.

Semgrep supports integration with ticketing systems, notification platforms, and custom security workflows through flexible output formats and API access. Custom metadata enables correlation with internal asset management and risk assessment systems.

Community Support and Documentation Quality

Community engagement and documentation quality significantly impact tool adoption and long-term success. Both platforms maintain active communities with different focuses and contribution models.

Snyk maintains comprehensive documentation covering platform features, integration guides, and security best practices. The developer community contributes feedback through forums, GitHub discussions, and user conferences.

Educational resources include security training materials, vulnerability research, and industry trend analysis. Regular webinars and workshops help teams improve security practices and tool utilization.

Semgrep emphasizes open-source collaboration through rule sharing and community contributions. The rule registry benefits from diverse perspectives and specialized security expertise across different industries and technologies.

Technical documentation covers rule development, platform configuration, and integration patterns. Community forums facilitate knowledge sharing and collaborative problem-solving among security practitioners.

Learning Resources and Training Materials

Effective security tool adoption requires comprehensive training and ongoing education. Both platforms provide different approaches to user education and skill development.

Snyk offers certification programs and structured learning paths for developers and security professionals. Interactive tutorials demonstrate platform features and security testing best practices.

The platform provides contextual help and guided workflows for common tasks including vulnerability remediation and policy configuration. Progressive disclosure helps new users build proficiency without overwhelming complexity.

Semgrep focuses on practical rule development and security pattern recognition. Documentation includes detailed examples and case studies demonstrating effective rule creation and optimization techniques.

Community workshops and conference presentations share advanced techniques and real-world implementation experiences. Open-source contributors provide insights into emerging security threats and detection strategies.

Performance Benchmarks and Speed Analysis

Scanning performance directly impacts developer productivity and CI/CD pipeline efficiency. Understanding performance characteristics helps teams set appropriate expectations and optimize scanning configurations.

Snyk’s cloud-based architecture provides consistent performance regardless of local infrastructure limitations. The platform handles resource-intensive analysis tasks including dependency resolution and semantic code analysis.

Incremental scanning capabilities focus on changed files and new dependencies to minimize processing time. Large repositories benefit from parallel processing and intelligent caching mechanisms.

Semgrep’s local execution model provides predictable performance based on available computing resources. Teams can optimize scanning speed through rule selection and parallel processing configuration.

Rule performance profiling helps identify expensive patterns that may slow scanning for large codebases. Optimized rule sets balance comprehensive coverage with acceptable execution times.

Resource Utilization and Infrastructure Impact

Security scanning resource requirements impact CI/CD infrastructure costs and build pipeline capacity. Understanding resource utilization helps teams plan infrastructure and optimize scanning configurations.

Snyk’s cloud processing model minimizes local resource consumption while requiring network connectivity for scanning operations. API rate limits may impact high-frequency scanning scenarios for large organizations.

Local caching reduces repeated analysis for unchanged dependencies and code segments. The platform provides usage analytics to help teams understand scanning patterns and optimize configurations.

Semgrep’s local execution requires CPU and memory resources proportional to codebase size and rule complexity. Resource optimization features help teams balance thorough analysis with available infrastructure capacity.

Container-based deployment enables precise resource allocation and scaling based on scanning requirements. Teams can adjust CPU and memory limits to match build pipeline constraints and performance expectations.

Security Team Perspectives and Organizational Fit

Security team preferences and organizational culture influence security tool selection and adoption success. Both platforms appeal to different security philosophies and operational approaches.

Snyk appeals to organizations seeking comprehensive security coverage with minimal configuration overhead. Security teams benefit from centralized visibility across applications, dependencies, and infrastructure components.

The platform’s developer-friendly approach reduces friction between security and development teams. Automated remediation capabilities help security teams scale their impact without proportional staff increases.

Semgrep attracts security teams that value transparency and customization over automated convenience. The ability to examine and modify detection logic builds trust and enables precise control over security findings.

Organizations with specialized security requirements benefit from custom rule development capabilities. Internal security standards and compliance requirements can be encoded directly into the scanning process.

Change Management and Tool Adoption Strategies

Successful security tool implementation requires careful change management and stakeholder engagement. Both platforms require different approaches to organizational adoption and team training.

Snyk’s automated approach minimizes disruption to existing development workflows while providing immediate security value. Gradual rollout strategies enable teams to build confidence and expertise progressively.

Integration with existing tools and processes reduces resistance from development teams. The platform’s emphasis on actionable findings helps demonstrate clear value and return on investment.

Semgrep adoption benefits from security champion programs and collaborative rule development. Bottom-up adoption enables security-conscious developers to demonstrate value before organization-wide deployment.

Custom rule creation provides opportunities for security and development teams to collaborate on internal security standards. This collaborative approach builds shared ownership and reduces tool implementation resistance.

Future Development and Roadmap Analysis

Platform evolution and future capabilities impact long-term tool selection decisions. Understanding development priorities helps organizations align security investments with strategic objectives.

Snyk continues expanding security coverage through acquisition integration and organic feature development. The platform emphasizes AI-powered analysis, runtime correlation, and cloud-native security capabilities.

Integration with development platforms and security tools broadens ecosystem compatibility. Enhanced automation features aim to further reduce manual effort required for vulnerability management and remediation.

Semgrep focuses on rule accuracy improvement and analysis speed optimization. Machine learning capabilities enhance rule effectiveness and reduce false positive rates across diverse codebases.

Community-driven development ensures rule coverage expands to address emerging threats and new programming languages. Open-source contributions accelerate capability development beyond internal team capacity.

Market Position and Competitive Landscape

Understanding competitive positioning helps predict future development priorities and market dynamics. Both platforms compete in different segments with varying competitive pressures.

Snyk competes broadly across application security testing including dependency scanning, container security, and infrastructure as code analysis. Platform consolidation trends favor comprehensive solutions over point products.

The platform’s developer-centric approach differentiates it from traditional enterprise security tools. Strong integration ecosystem and automated workflows appeal to DevOps-oriented organizations.

Semgrep competes primarily in static application security testing with emphasis on accuracy and customization. Open-source foundations enable rapid innovation and community-driven feature development.

The platform’s transparency and flexibility appeal to security teams seeking control over detection logic and scanning processes. This positioning attracts organizations with sophisticated security requirements.

Making the Strategic Choice: Snyk vs Semgrep Decision Framework

Selecting between Snyk and Semgrep requires careful evaluation of organizational requirements, technical constraints, and strategic objectives. No single platform addresses every scenario optimally.

Choose Snyk when your organization prioritizes comprehensive security coverage across applications, dependencies, and infrastructure. The platform suits teams seeking automated workflows with minimal configuration overhead.

Organizations with diverse technology stacks benefit from Snyk’s broad language support and extensive integration ecosystem. Developer-friendly features reduce implementation resistance and accelerate adoption across development teams.

Select Semgrep when precision and customization outweigh comprehensive coverage requirements. Security teams that value transparency and control over detection logic find Semgrep’s approach more suitable.

Organizations with specialized security requirements or privacy constraints benefit from Semgrep’s self-hosted deployment options and custom rule development capabilities. The platform excels at enforcing internal security standards and coding practices.

Hybrid Approaches and Tool Combination Strategies

Some organizations benefit from combining multiple security tools to address different requirements and use cases. Understanding complementary capabilities enables optimized security coverage.

Teams often use Semgrep for SAST capabilities while leveraging Snyk for dependency scanning and container security. This combination provides deep code analysis alongside comprehensive component security.

Specialized tools like Jit.io offer broader coverage beyond SAST and SCA capabilities. Evaluating complete security testing requirements helps identify optimal tool combinations for specific organizational needs.

Budget constraints may favor focused tools over comprehensive platforms. Understanding core security requirements enables teams to prioritize essential capabilities while planning future security tool expansion.

Conclusion

Both Snyk and Semgrep offer valuable security testing capabilities with distinct approaches and strengths. Snyk excels in comprehensive integration and developer-friendliness across the entire application security landscape. Semgrep provides granular, adaptable static code analysis with superior accuracy and customization options. Organizations should evaluate their specific requirements including coverage needs, team preferences, and technical constraints when selecting between these platforms. The optimal choice depends on balancing comprehensive security coverage against precision, automation against control, and ease of use against customization flexibility.

Frequently Asked Questions: Snyk vs Semgrep Comparison

• Which tool is better for static application security testing (SAST)?
  Semgrep excels at SAST with superior accuracy, minimal false positives, and customizable rule-based detection. Snyk provides broader security coverage but Semgrep offers more precise static code analysis capabilities.
• Should I choose Snyk or Semgrep for dependency scanning?
  Snyk is significantly better for dependency scanning (SCA) with comprehensive vulnerability databases and automated remediation. Semgrep has limited dependency analysis capabilities and focuses primarily on source code security.
• Which platform offers better integration with developer workflows?
  Snyk provides more extensive integrations with IDEs, CI/CD pipelines, and development tools. Both platforms support developer workflows, but Snyk emphasizes automated convenience while Semgrep focuses on precision and control.
• How do false positive rates compare between Snyk and Semgrep?
  Semgrep dramatically reduces false positives through precise rule-based pattern matching. Independent reviewers confirm Semgrep’s superior accuracy compared to traditional SAST tools including Snyk’s semantic analysis approach.
• Which tool is more cost-effective for small development teams?
  Both platforms offer free tiers, but requirements determine cost-effectiveness. Semgrep provides comprehensive SAST capabilities in free tier, while Snyk offers broader security coverage with usage limitations in free plan.
• Can I run security scanning in air-gapped environments?
  Semgrep supports complete self-hosted deployment in air-gapped environments with periodic rule updates. Snyk primarily requires cloud connectivity but offers private deployment options for sensitive environments.
• Which platform provides better custom rule development capabilities?
  Semgrep offers extensive custom rule development with transparent, modifiable detection logic. Snyk has limited customization options but provides comprehensive pre-built rules across multiple security domains.
• How do enterprise features compare between the platforms?
  Both platforms provide enterprise capabilities including SSO, RBAC, and compliance reporting. Snyk offers centralized policy management across broader security domains, while Semgrep provides policy-as-code and granular rule control.