DeepCode AI

Categories: Coding & Developer Tools, Cybersecurity | Pricing: Freemium | Official Website ↗

DeepCode AI provides AI-powered code analysis and autofixing for vulnerabilities and technical debt across multiple programming languages.

DeepCode AI is a purpose-built security AI that powers the Snyk AI Security Platform. It utilizes multiple fine-tuned AI models and security-specific data curated by security specialists to secure applications. The platform is designed to find, autofix, and prioritize vulnerabilities, and manage technical debt in code. DeepCode AI supports over 19 languages and uses a hybrid AI approach, combining symbolic and generative AI with machine learning methods and security research expertise. This ensures high accuracy in scanning and helps prevent hallucinations often associated with single-model AI. It also offers risk-based prioritization by assessing package popularity, code reachability, and exploit maturity. DeepCode AI allows teams to create, test, run, and save custom rules using its logic and autocomplete features.

Key Features

AI-powered code analysis
Automated vulnerability autofixes (80% accuracy)
Support for 19+ programming languages
Risk-based prioritization of vulnerabilities
Custom rule creation with AI logic
Secure AI-generated code
Data privacy with self-hosted options

Pros

Provides fast, accurate, and comprehensive AppSec testing
Offers 80% accurate security autofixes
Supports a wide range of programming languages (19+)
Ensures data privacy with self-hosted AI
Reduces mean time to remediate (MTTR) by 84% or more
Combines symbolic and generative AI for high accuracy without hallucinations

Cons

Specific pricing for paid tiers is not publicly listed
Requires integration into existing development workflows
Focuses primarily on code security, not broader application lifecycle management
May require some learning curve for custom rule creation
Relies on permissively licensed open-source projects for training data

Use Cases

Automated code review for security vulnerabilities
Fixing security issues in AI-generated code
Prioritizing security risks based on context
Managing technical debt in codebases
Creating custom security rules for specific project needs

Best For

Developers
Security Engineers
DevSecOps Teams
Organizations building secure applications

Integrations: GitHub, Google, Bitbucket, Snyk CLI, IDE Plugins

Platforms: Web, IDE Plugins

Watch demo on YouTube ↗

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