The closest alternatives to Veracode on Lister are Snyk, Checkmarx and Semgrep, the companies that share the most rankings with it. Each is compared below on its stated best fit, starting price and Lister Score.
How to choose an alternative to Veracode
Start from what you need it for. Where each fits best, as Lister records it:
- Snyk: Security-conscious engineering departments
- Checkmarx: Security-conscious organisations requiring detailed vulnerability analysis and compliance reporting
- Semgrep: Teams wanting lightweight, fast static analysis with strong open-source community support
- SonarQube: Enterprise teams requiring comprehensive security gating
- Palo Alto Networks: Enterprise organisations needing advanced threat prevention and multi-cloud security
- GitHub Copilot: General purpose test scaffolding across many languages
- DeepSource: Modern development teams using GitHub or GitLab
- CodeRabbit: Smaller teams and startups prioritising affordable, focused AI-powered PR reviews
- CrowdStrike: Endpoint security and rapid incident response
- Codacy: Teams wanting standardized coding style enforcement
Closest to Veracode by the rankings they share: Snyk (5 rankings), Checkmarx (2 rankings) and Semgrep (2 rankings).
Free to start, by their stated pricing: Semgrep.
Stated starting prices: SonarQube (150 USD per year), GitHub Copilot (10 USD per month), DeepSource (12 USD per user per month), CodeRabbit ($99/month) and Codacy (18 USD per user per month).
Custom or quote-based pricing: Snyk, Checkmarx, Palo Alto Networks and CrowdStrike.
Each Lister Score is the alternative's score on the ranking named in its row, so compare scores within one ranking rather than across rankings. How the score is made.
Each alternative in brief
01
#1 in Best application security testing tools: Snyk is an independent security layer that validates AI-generated code and governs development agents. It secures AI-native applications so organisations can innovate without losing control.
PROS- Strong focus on open source dependency scanning
- Actionable remediation advice
CONS- Pricing scales quickly for growing organizations
96.0
02
Application security testing platform with bug detection
#2 in Best software composition analysis tools: Checkmarx is a unified AI-powered application security platform that provides a correlated risk view across every surface. It is recognised as a Gartner Magic Quadrant Leader for software supply chain security.
PROS- Supports 35+ programming languages with deep semantic analysis
- Strong audit trail and compliance reporting for regulated industries
CONS- Expensive for small-to-medium teams
- Can be resource-intensive during large scans
94.0
03
Static analysis that finds bugs, security issues, and anti-patterns in your codebase
#4 in Best application security testing tools: Semgrep is an AI-assisted application security platform offering static analysis, supply chain checks, and secrets detection. It helps teams move away from legacy tools by providing a unified solution for modern software development.
PROS- Extremely fast analysis with minimal false positives
- Fully open-source with extensive community-contributed rules
CONS- Requires more configuration effort for custom rules compared to some commercial alternatives
92.0
04
#5 in Top 10 AI Code-Review Tools: SonarQube combines static analysis with machine learning to detect bugs, vulnerabilities, and code smells. It offers both cloud and self-hosted deployment options with detailed quality gates and trend analysis.
PROS- Extensive language support
- Deep integration with CI/CD pipelines
CONS- Can be resource heavy during large scans
85.7
05
Advanced threat protection with cloud-native security
#9 in Enterprise vulnerability management software: Palo Alto Networks is a leading cybersecurity provider offering modern enterprise protection. It introduces Cortex XCOR, an AI-driven observability platform reimagining data insights.
PROS- Industry-leading threat prevention with AI-driven detection
- Seamless integration across cloud, on-premises, and hybrid environments
CONS- Significant licensing and implementation costs
- Complex configuration requiring specialist expertise
80.0
06
#1 in Top 10 AI Code-Review Tools: GitHub Copilot brings machine learning-powered code suggestions and security scanning to pull requests and commits. It integrates seamlessly with GitHub's native review process, offering real-time feedback on potential bugs, vulnerabilities, and style inconsistencies.
PROS- Supports almost all programming languages
- Seamless integration with popular editors
CONS- Requires manual prompt refinement for complex logic
95.0
07
#2 in Top 10 AI Code-Review Tools: DeepSource uses machine learning to detect bugs, security issues, and code quality violations across multiple languages. It provides automated fixes, integrates with popular repositories, and offers detailed reports with contextual suggestions.
PROS- Extremely fast setup time
- Clean and intuitive user interface
CONS- Fewer configuration options for niche setups than legacy tools
92.7
08
Focused AI code review for pull requests with contextual intelligence
#3 in Top 10 AI Code-Review Tools: CodeRabbit specialises in AI-driven pull request reviews, offering line-by-line feedback on code quality, security, and performance. It learns from your repository conventions and provides customisable review settings.
PROS- Purpose-built for code review with minimal false positives
- Affordable pricing for smaller teams
CONS- Limited to pull request review (no broader code quality suite)
- Narrower language support compared to alternatives
90.3
09
We stop breaches
#3 in Best AI vulnerability management tools: CrowdStrike is an AI-native cybersecurity provider offering a unified platform to stop breaches. It combines endpoint security with threat intelligence and autonomous response capabilities.
PROS- Exceptional threat intelligence capabilities
- Fast remote incident response deployment
CONS- High cost for smaller businesses
88.0
10
#4 in Top 10 AI Code-Review Tools: Codacy provides automated code review across 40+ programming languages, combining traditional static analysis with machine learning. It tracks code metrics, detects duplicates, and offers security scanning with clear prioritisation.
PROS- Great code coverage tracking
- Customizable quality gates
CONS- Initial configuration can be complex
88.0