How does Snyk pricing work for small teams vs. enterprise?

Small teams can use the Free or Team plan (flat monthly fee). Enterprise uses a credit-based system where you pre-purchase credits to access any Snyk capability at defined rates.

Does Snyk store my code or credit card information?

Snyk does not store source code; it receives only metadata for scanning. Payment processing is handled by third-party PCI-compliant providers like Stripe, so Snyk does not store credit card details.

How does Snyk's DeepCode AI improve vulnerability detection?

DeepCode AI uses a hybrid model combining symbolic and generative AI, trained on 25M+ data flow cases, to achieve high accuracy with low false positives and provide actionable autofixes.

Can I use Snyk locally without a cloud connection?

Snyk offers a CLI and IDE plugins that can perform local scans, but the results are processed and enriched using the Snyk cloud platform. A connection is required for full functionality.

What happens if I exceed my plan's test or credit limits?

For Free/Team plans, further tests are blocked until the next billing cycle. For Enterprise, overages are tracked and billed at the standard credit rate, and you can add more credits to your contract.

Directory/Coding/Security Tools/Snyk

Snyk

Snyk is a developer-first security platform that helps teams find and fix vulnerabilities across their entire software development lifecycle. It provides continuous scanning for code (SAST), open-source dependencies (SCA), container images, infrastructure as code (IaC), and API/web applications (DAST). The platform integrates directly into developer workflows via CLI, IDE plugins, and source code manager integrations, enabling security to shift left and scale with development velocity. Powered by DeepCode AI, Snyk uses a hybrid AI approach combining symbolic and generative models for high-accuracy, low-false-positive vulnerability detection and automated security fixes. It offers risk-based prioritization to focus on exploitable issues and provides a unified view of security posture across teams and projects. Snyk is designed for developers, security engineers, and DevSecOps teams looking to build and maintain secure software efficiently.

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Sep 22, 2026

SASTSCAContainer SecurityIaC SecurityAI Agent SecurityIDE IntegrationsCredit-Based PricingAI Autofixes

Product information

Everything worth knowing about Snyk

The complete picture — from everyday features to the technical detail builders and IT folks dig for.

Core features

What it actually does

AI-Powered Code Analysis

DeepCode AI engine scans code, open-source dependencies, containers, and IaC for vulnerabilities and suggests autofixes.

Developer-First Integrations

Plug into IDEs (VS Code, IntelliJ), CLI, and SCM (GitHub, GitLab, Bitbucket) to scan within your existing workflow.

Risk-Based Prioritization

Focuses on vulnerabilities that matter by analyzing package popularity, exploit maturity, and code reachability.

Agent Security (Evo)

Governance and security for AI agents, including coding agent security and AI Software Bill of Materials (AI-SPM).

Technical capabilities

Hybrid AI Architecture

Combines symbolic and generative AI with a knowledge base from millions of open-source projects to reduce hallucinations.

Credit-Based Enterprise Billing

Flexible pricing model where pre-purchased credits are consumed per capability (e.g., per contributor/day for code scanning).

Must watch videos

GPT-5.6 Sol vs Terra vs Luna: What Actually Changed

13:31

Comparison13:31

GPT-5.6 Sol vs Terra vs Luna: What Actually Changed

OpenAI has completely overhauled its model naming system with the release of GPT-5.6, introducing three distinct tiers: Sol, Terra, and Luna. In this video, we put OpenAI's new flagship model, GPT-5.6 Sol, to the ultimate test. Using the Codex extension in VS Code, we throw our classic "Build me a secure notes app or I get fired" prompt at Sol. Watch as we break down the pricing and reasoning differences of the new tiers, run a full security audit using Snyk, and see if Sol's $5/$30 price tag is truly production-ready or if a small local CSRF bug gets us "fired" first. Use Snyk for free to find and fix security issues in your applications today! https://snyk.co/ugLYn ✍️ Resources ✍️ - GPT-5.6 Announcement Blog - https://openai.com/index/previewing-gpt-5-6-sol/ - GPT-5.6 Model Docs - https://developers.openai.com/api/docs/models - GitHub Repo - https://github.com/clarkio/ai-code-security ⏲️ Chapters ⏲️ 00:00 OpenAI's New GPT-5.6 Model Tiers 00:52 Sol, Terra, & Luna Differences 02:19 Sol vs. The Secure Notes App Prompt 02:59 Sol's Security Strategy & Coding Process 03:42 30 Minutes In: Deep Reasoning & Docker Choices 04:13 Prompt Complete After Nearly 1 Hour 06:08 Testing the App 09:05 Sol's Robust Solution Caught Out By A Small Bug? 09:43 Snyk Dependency Audit 10:13 Snyk Code Analysis 12:45 Is GPT-5.6 Sol Worth the Price? ⚒️ About Snyk ⚒️ Snyk helps you find and fix vulnerabilities in your code, open-source dependencies, containers, infrastructure-as-code, software pipelines, IDEs, and more! Move fast, stay secure. Learn more about Snyk: https://snyk.co/ugLYl 📱 Connect with Us 📱 🖥️ Website: https://snyk.co/ugLYl 🐦 X: http://twitter.com/snyksec 💼 LinkedIn: https://www.linkedin.com/company/snyk 💬 Discord: https://discord.gg/devsecops-community-918181751526948884 ▶️ Subscribe: https://www.youtube.com/c/SnykSec?sub_confirmation=1 🔥 We're hiring! Check our open roles: https://snyk.co/ugLYp 🔗 Hashtags 🔗 #DevSecOps #gpt #aicoding

6:48

Review6:48

Why You Must Still Review AI Code

In this video, we break down why skipping code reviews is a massive mistake that will ultimately slow you down, leave you vulnerable, and compromise your system's accountability. We dive into three concrete reasons why reviewing AI-generated pull requests actually makes you a faster, safer developer, including a real-world story of a production bug caught in under 90 seconds. Use Snyk for free to find and fix security issues in your applications today! https://snyk.co/ugLYn ✍️ Resources ✍️ - Snyk Agentic Development Security: https://snyk.co/urqkW - A New Model You Haven't Heard About (GitHub Raptor Mini): https://youtu.be/heD3f7sF0VY ⏲️ Chapters ⏲️ 00:00 - Is AI Code Review Dead? 00:50 - Reason 1: Maintaining Your Mental Model 01:34 - Debugging Blind Can Cost You Hours 02:10 - Reason 2: Unique AI Failure Modes & Security Risks 03:29 - The Hidden Danger of MCP Servers and Agent Workflows 04:03 - How Snyk Secures Agentic Development 04:49 - Reason 3: Human Ownership and Accountability 05:54 - 3 Reasons to Review AI Code 06:22 - Final Thoughts & Outro ⚒️ About Snyk ⚒️ Snyk helps you find and fix vulnerabilities in your code, open-source dependencies, containers, infrastructure-as-code, software pipelines, IDEs, and more! Move fast, stay secure. Learn more about Snyk: https://snyk.co/ugLYl 📱 Connect with Us 📱 🖥️ Website: https://snyk.co/ugLYl 🐦 X: http://twitter.com/snyksec 💼 LinkedIn: https://www.linkedin.com/company/snyk 💬 Discord: https://discord.gg/devsecops-community-918181751526948884 ▶️ Subscribe: https://www.youtube.com/c/SnykSec?sub_confirmation=1 🔥 We're hiring! Check our open roles: https://snyk.co/ugLYp 🔗 Hashtags 🔗 #ai #aireviews #aicode #DevSecOps

GLM 5.2 vs Opus 4.8: Cheaper AI Code, Hidden Risks?

15:55

Comparison15:55

GLM 5.2 vs Opus 4.8: Cheaper AI Code, Hidden Risks?

GLM 5.2 just launched from Z.ai, and it might be one of the biggest threats yet to the frontier model premium. It’s open, significantly cheaper than Claude Opus 4.8, and claims to deliver near-frontier coding performance across major benchmarks. But benchmarks only matter if the model can actually build something production-ready. In this video, we put GLM 5.2 through the same real-world coding test as Claude Opus 4.8: building a secure Node.js CRUD notes app from a single prompt. We compare the final app, the time it took, the cost tradeoff, and the security results from scanning the generated code and dependencies with Snyk. GLM 5.2 successfully built the app, passed the core functionality test, and produced zero open-source dependency vulnerabilities. But Snyk also found 16 code security issues, including CSRF concerns, information exposure, logging risks, and resource-limit warnings. So the real question is: is GLM 5.2 good enough to replace expensive frontier models for everyday AI coding workflows? Use Snyk for free to find and fix security issues in your applications today! https://snyk.co/ugLYn ✍️ Resources ✍️ - https://github.com/clarkio/ai-code-security - https://z.ai/blog/glm-5.2 - https://openrouter.ai/compare/z-ai/glm-5.2/anthropic/claude-opus-4.8/openai/gpt-5.5 - https://huggingface.co/zai-org/GLM-5.2 - https://www.youtube.com/watch?v=14iM7roXcEw ⏲️ Chapters ⏲️ 00:00 The Frontier Model Premium Might Be Dead 00:48 Why GLM 5.2 Is Getting So Much Hype 02:08 The Claude Opus 4.8 Baseline 03:04 Testing GLM 5.2 With the Same Prompt 04:36 Early Workflow and Permission Issues 05:36 Why GLM 5.2 Took Much Longer 07:50 What GLM 5.2 Actually Built 08:45 Testing the Generated App 09:31 Scanning the Code with Snyk 10:09 The Security Issues Snyk Found 13:44 GLM 5.2 vs Claude Opus 4.8 14:35 Cost, Speed, and Final Verdict ⚒️ About Snyk ⚒️ Snyk helps you find and fix vulnerabilities in your code, open-source dependencies, containers, infrastructure-as-code, software pipelines, IDEs, and more! Move fast, stay secure. Learn more about Snyk: https://snyk.co/ugLYl 📱 Connect with Us 📱 🖥️ Website: https://snyk.co/ugLYl 🐦 X: http://twitter.com/snyksec 💼 LinkedIn: https://www.linkedin.com/company/snyk 💬 Discord: https://discord.gg/devsecops-community-918181751526948884 ▶️ Subscribe: https://www.youtube.com/c/SnykSec?sub_confirmation=1 🔥 We're hiring! Check our open roles: https://snyk.co/ugLYp 🔗 Hashtags 🔗 #glm #claude #claudeopus #aicoding

Who uses it

Real use cases, no hype

Secure AI-Generated Code

Automatically scan and fix vulnerabilities in code produced by AI assistants like GitHub Copilot.

Shift-Left Security

Integrate security scanning directly into the developer IDE for real-time feedback.

CI/CD Pipeline Security

Automate vulnerability checks in build pipelines to prevent insecure code from reaching production.

Container Image Hardening

Identify and remediate vulnerabilities in base images and dependencies within Dockerfiles.

Infrastructure as Code (IaC) Security

Scan Terraform, CloudFormation, and Kubernetes configs for misconfigurations before deployment.

Software Supply Chain Security

Monitor open-source dependencies for known vulnerabilities and license compliance issues.

Secrets Detection

Prevent hardcoded secrets like API keys and passwords from being committed to repositories.

What's great

Seamless integration with IDEs (VS Code, IntelliJ) and CI/CD pipelines.
Comprehensive security scanning across code, dependencies, containers, and IaC.
Free tier available for individual developers and small projects.
Supports 19+ languages and multiple package managers with a large vulnerability database.

Technical strengths

DeepCode AI engine provides high-accuracy vulnerability detection and autofix.
Context-aware risk scoring considers exploit maturity and package popularity.

Where it falls short

Advanced features like AI Pentesting (Evo COS) are only for Enterprise plans.
Credit-based pricing for Enterprise can be complex to predict and manage.
Free plan has strict project and test limits (5 projects, 100 SAST tests/month).

Technical limitations

Some AI-driven features may require manual review to avoid false positives.
Dependency on cloud platform for core functionality; limited offline scanning.

For technical folks

The deep-dive specs

AI Security Model

DeepCode AI

Offensive Security Engine

Evo Continuous Offensive Security (COS)

Deployment

SaaS with optional Broker for data-sensitive environments

FAQ

Includes technical Q&A

Snyk is a developer-first security platform that finds and automatically fixes vulnerabilities in code, open-source dependencies, containers, and infrastructure as code.