Snyk AI Pricing & Plans 2026

Name: Snyk AI
Brand: Snyk AI
Availability: InStock
Rating: 7.8 (1 reviews)

Complete pricing guide for Snyk AI. Compare all plans, analyze costs, and find the perfect tier for your needs.

Not sure if free is enough? See our Free vs Paid comparison →
Still deciding? Read our full verdict on whether Snyk AI is worth it →

🆓Free Tier Available

💎4 Paid Plans

⚡No Setup Fees

Choose Your Plan

Free

$0 / month

Start Free Trial →

Team

Starting at $750 / month, billed monthly

Start Free Trial →

Ignite

Starting at $3,150 / month, billed monthly

Start Free Trial →

Enterprise

Contact Sales

Contact Sales →

Pricing sourced from Snyk AI · Last verified March 2026

Feature Comparison

Detailed feature comparison coming soon. Visit Snyk AI's website for complete plan details.

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Is Snyk AI Worth It?

✅ Why Choose Snyk AI

• Covers multiple application security surfaces mentioned in the supplied metadata, including source code, dependencies, containers, and AI-generated code.
• Uses DeepCode AI for code analysis, making it relevant for teams that want AI-assisted vulnerability detection rather than only rule-based scanning.
• Automated fix suggestions can help developers move from detection to remediation faster, especially when fixes are delivered through pull-request workflows.
• Developer-first positioning makes it suitable for shifting security feedback earlier into engineering workflows instead of relying only on late-stage audits.
• The website title specifically frames the product around securing code, models, and agents, which aligns with emerging risks from AI-assisted and agentic development.
• Freemium pricing gives teams a lower-friction path to evaluate the platform before adopting broader paid security coverage.

⚠️ Consider This

• Paid plan fit depends on developer count, product mix, and test usage; teams should verify current limits on Snyk’s pricing page before rollout.
• Automated fix suggestions still require review; security-sensitive changes should not be merged without developer or security validation.
• Coverage and accuracy can vary by language, framework, dependency ecosystem, container setup, and repository configuration.
• As a broad platform, it may require setup and policy tuning to avoid alert fatigue in larger or older codebases.
• It is focused on software security scanning and remediation, not on replacing threat modeling, penetration testing, runtime monitoring, or broader governance processes.

What Users Say About Snyk AI

👍 What Users Love

✓Covers multiple application security surfaces mentioned in the supplied metadata, including source code, dependencies, containers, and AI-generated code.
✓Uses DeepCode AI for code analysis, making it relevant for teams that want AI-assisted vulnerability detection rather than only rule-based scanning.
✓Automated fix suggestions can help developers move from detection to remediation faster, especially when fixes are delivered through pull-request workflows.
✓Developer-first positioning makes it suitable for shifting security feedback earlier into engineering workflows instead of relying only on late-stage audits.
✓The website title specifically frames the product around securing code, models, and agents, which aligns with emerging risks from AI-assisted and agentic development.
✓Freemium pricing gives teams a lower-friction path to evaluate the platform before adopting broader paid security coverage.

👎 Common Concerns

⚠Paid plan fit depends on developer count, product mix, and test usage; teams should verify current limits on Snyk’s pricing page before rollout.
⚠Automated fix suggestions still require review; security-sensitive changes should not be merged without developer or security validation.
⚠Coverage and accuracy can vary by language, framework, dependency ecosystem, container setup, and repository configuration.
⚠As a broad platform, it may require setup and policy tuning to avoid alert fatigue in larger or older codebases.
⚠It is focused on software security scanning and remediation, not on replacing threat modeling, penetration testing, runtime monitoring, or broader governance processes.

Pricing FAQ

Is the free tier enough for real projects?

It can be enough for individual developers and small teams evaluating Snyk. Snyk lists the Free plan at $0/month with 5 projects and monthly limits of 200 Open Source tests, 100 Code tests, 300 IaC tests, and 100 Container tests.

How does Snyk compare to SonarQube?

They overlap in static analysis, but the product emphasis differs. SonarQube is commonly evaluated for code quality and maintainability with security rules, while Snyk is positioned around developer security workflows across code, dependencies, containers, IaC, and remediation.

What do Snyk paid plans cost?

Snyk lists Team starting at $750/month billed monthly and Ignite starting at $3,150/month billed monthly. Enterprise pricing is listed as Contact Sales. Pricing can vary by selected products because Snyk says products can be purchased individually and must be purchased within the same plan.

Does Snyk slow down CI/CD pipelines?

Pipeline impact depends on repository size, enabled products, dependency graph, container image size, and scan configuration. The provided sources do not support a universal scan-time estimate, so teams should benchmark Snyk in their own CI environment.

What about AI-generated code — does Snyk catch AI-specific issues?

Snyk positions its platform around securing AI-generated code, coding agents, and AI applications. In practical use, teams should treat Snyk as an application security scanner for code and software supply chain risk, then validate AI-specific governance needs against Snyk’s Evo and AI Security Platform documentation.

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Snyk AI Pricing & Plans 2026

Complete pricing guide for Snyk AI. Compare all plans, analyze costs, and find the perfect tier for your needs.

🆓Free Tier Available

💎4 Paid Plans

⚡No Setup Fees

Is Snyk AI Worth It?

✅ Why Choose Snyk AI

• Covers multiple application security surfaces mentioned in the supplied metadata, including source code, dependencies, containers, and AI-generated code.
• Uses DeepCode AI for code analysis, making it relevant for teams that want AI-assisted vulnerability detection rather than only rule-based scanning.
• Automated fix suggestions can help developers move from detection to remediation faster, especially when fixes are delivered through pull-request workflows.
• Developer-first positioning makes it suitable for shifting security feedback earlier into engineering workflows instead of relying only on late-stage audits.
• The website title specifically frames the product around securing code, models, and agents, which aligns with emerging risks from AI-assisted and agentic development.
• Freemium pricing gives teams a lower-friction path to evaluate the platform before adopting broader paid security coverage.

⚠️ Consider This

• Paid plan fit depends on developer count, product mix, and test usage; teams should verify current limits on Snyk’s pricing page before rollout.
• Automated fix suggestions still require review; security-sensitive changes should not be merged without developer or security validation.
• Coverage and accuracy can vary by language, framework, dependency ecosystem, container setup, and repository configuration.
• As a broad platform, it may require setup and policy tuning to avoid alert fatigue in larger or older codebases.
• It is focused on software security scanning and remediation, not on replacing threat modeling, penetration testing, runtime monitoring, or broader governance processes.

What Users Say About Snyk AI

👍 What Users Love

✓Covers multiple application security surfaces mentioned in the supplied metadata, including source code, dependencies, containers, and AI-generated code.
✓Uses DeepCode AI for code analysis, making it relevant for teams that want AI-assisted vulnerability detection rather than only rule-based scanning.
✓Automated fix suggestions can help developers move from detection to remediation faster, especially when fixes are delivered through pull-request workflows.
✓Developer-first positioning makes it suitable for shifting security feedback earlier into engineering workflows instead of relying only on late-stage audits.
✓The website title specifically frames the product around securing code, models, and agents, which aligns with emerging risks from AI-assisted and agentic development.
✓Freemium pricing gives teams a lower-friction path to evaluate the platform before adopting broader paid security coverage.

👎 Common Concerns

⚠Paid plan fit depends on developer count, product mix, and test usage; teams should verify current limits on Snyk’s pricing page before rollout.
⚠Automated fix suggestions still require review; security-sensitive changes should not be merged without developer or security validation.
⚠Coverage and accuracy can vary by language, framework, dependency ecosystem, container setup, and repository configuration.
⚠As a broad platform, it may require setup and policy tuning to avoid alert fatigue in larger or older codebases.
⚠It is focused on software security scanning and remediation, not on replacing threat modeling, penetration testing, runtime monitoring, or broader governance processes.