Deepcode

Overview

Deepcode, originally an independent platform, was acquired by Snyk in 2020. Its core AI-driven static code analysis technology is now a foundational component of Snyk Code. This integration positions Deepcode's capabilities as part of a broader developer security platform, focusing on identifying and remediating security vulnerabilities directly within the development workflow.

The technology is designed for developers and security teams aiming to implement security earlier in the software development lifecycle, a practice often referred to as "shift left." By analyzing code as it is written or committed, Deepcode's AI engine helps detect common vulnerabilities such as injection flaws, cross-site scripting (XSS), insecure direct object references (IDOR), and other OWASP Top 10 risks. This real-time feedback loop is intended to reduce the cost and effort associated with fixing security defects later in the development cycle or after deployment.

Deepcode's analysis extends beyond traditional rule-based SAST by employing machine learning to understand code context and identify patterns indicative of security flaws, even in novel scenarios. This approach aims to minimize false positives and provide more actionable insights. The platform supports a wide range of programming languages, enabling comprehensive scanning across diverse tech stacks. It is particularly suited for organizations that prioritize developer productivity and seek to embed security checks seamlessly into their existing CI/CD pipelines, IDEs, and version control systems.

The integration into Snyk means that users access Deepcode's SAST features alongside other Snyk products, including Snyk Open Source for dependency scanning, Snyk Container for container image security, and Snyk Infrastructure as Code for configuration security. This consolidated approach allows organizations to manage various aspects of application security from a single platform, providing a unified view of security posture across their applications and infrastructure.

Key features

• AI-Powered Static Code Analysis (SAST): Utilizes machine learning to detect security vulnerabilities and quality issues in source code, providing context-aware recommendations.
• Real-time Developer Feedback: Delivers security insights directly within IDEs (e.g., VS Code, IntelliJ) and Git workflows, enabling developers to fix issues immediately.
• Extensive Language Support: Analyzes code written in multiple popular programming languages, including JavaScript, Python, Java, C#, Go, and more.
• CI/CD Pipeline Integration: Integrates with continuous integration and continuous delivery tools (e.g., Jenkins, GitHub Actions, GitLab CI) to automate security scanning as part of the build process.
• Vulnerability Prioritization: Helps developers focus on the most critical issues by prioritizing findings based on exploitability and impact.
• Automated Fix Guidance: Provides suggested code changes and remediation advice to help developers resolve identified vulnerabilities efficiently.
• Compliance Reporting: Supports adherence to various security standards and regulations, offering reports on compliance with standards like OWASP Top 10.

Pricing

Deepcode's capabilities are offered through Snyk's unified platform. Pricing tiers are structured to accommodate individual developers, teams, and large enterprises. As of May 2026, the general pricing structure is as follows:

For detailed and up-to-date pricing information, refer to the Snyk Plans page.

Common integrations

Deepcode's technology, as part of Snyk Code, integrates with a range of development and operational tools to streamline security workflows:

• IDEs: Visual Studio Code, IntelliJ IDEA, Eclipse, WebStorm (Snyk IDE plugins documentation).
• Version Control Systems: GitHub, GitLab, Bitbucket, Azure Repos (Snyk Git integrations).
• CI/CD Platforms: Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps, CircleCI, Travis CI (Snyk CI/CD integrations).
• Container Registries: Docker Hub, Amazon ECR, Google Container Registry, Azure Container Registry (Snyk Container integrations).
• Issue Trackers: Jira, ServiceNow.
• Cloud Platforms: AWS, Google Cloud, Azure for Infrastructure as Code scanning.

Alternatives

Organizations seeking static application security testing (SAST) or broader application security solutions may consider several alternatives:

• Sonatype Nexus Lifecycle: Focuses on open source supply chain security, managing risks from third-party components.
• Veracode: Offers a suite of application security testing services, including SAST, DAST, and SCA.
• Checkmarx: Provides comprehensive static and dynamic application security testing platforms.
• Fortify by OpenText: Another established SAST vendor with extensive language support and enterprise-grade features.
• Semgrep: An open-source static analysis tool with a focus on developer experience and custom rules.

Getting started

To begin using Deepcode's capabilities via Snyk Code, developers typically start by installing the Snyk CLI and authenticating. The following example demonstrates how to scan a local directory for code vulnerabilities using the Snyk CLI:

# 1. Install the Snyk CLI globally
npm install -g snyk

# 2. Authenticate the Snyk CLI with your Snyk account
# This will open a browser for authentication.
snyk auth

# 3. Navigate to your project directory
cd /path/to/your/project

# 4. Run a Snyk Code scan on your project
# This command analyzes your local code for vulnerabilities.
snyk code test

# Example output (truncated for brevity):
# 
# Testing /path/to/your/project...
# 
# Snyk Code detected 3 vulnerabilities
# 
#   Medium severity vulnerability found in src/main.js
#   Path: src/main.js:15
#   Description: Insecure cryptographic algorithm usage
#   Recommendation: Use a stronger algorithm like bcrypt or scrypt.
# 
#   High severity vulnerability found in src/auth.js
#   Path: src/auth.js:30
#   Description: SQL Injection vulnerability
#   Recommendation: Use parameterized queries or ORM.
# 
# Learn more about Snyk Code: https://docs.snyk.io/snyk-code

For continuous integration, developers can integrate the snyk test or snyk code test commands into their CI/CD pipelines. For example, in a GitHub Actions workflow, you might add a step like this:

name: Snyk Code Scan
on: [push, pull_request]
jobs:
  snyk:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - name: Run Snyk Code test
        uses: snyk/actions/nodejs-go@master
        env:
          SNYK_TOKEN: ${{ secrets.SNYK_TOKEN }}
        with:
          command: code test

This setup allows automated security scans on every push or pull request, providing early feedback on potential vulnerabilities. More detailed integration guides for various platforms are available in the Snyk documentation.