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Average Ratings 0 Ratings

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ease
features
design
support

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Description

CodeMender is an innovative AI-driven tool created by DeepMind that automatically detects, analyzes, and corrects security vulnerabilities within software code. By integrating sophisticated reasoning capabilities through the Gemini Deep Think models with various analysis techniques such as static and dynamic analysis, differential testing, fuzzing, and SMT solvers, it effectively pinpoints the underlying causes of issues, generates high-quality fixes, and ensures these solutions are validated to prevent regressions or functional failures. The operation of CodeMender involves proposing patches that comply with established style guidelines and maintain structural integrity, while it also employs critique and verification agents to assess modifications and self-correct if any problems are identified. Additionally, CodeMender can actively refactor existing code to incorporate safer APIs or data structures, such as implementing -fbounds-safety annotations to mitigate the risk of buffer overflows. To date, this remarkable tool has contributed dozens of patches to significant open-source projects, some of which consist of millions of lines of code, showcasing its potential impact on software security and reliability. Its ongoing development promises even greater advancements in the realm of automated code improvement and safety.

Description

CodeSonar uses a unified dataflow with symbolic execution analysis to examine the entire application's computations. CodeSonar's static analyze engine is extremely deep and does not rely on pattern matching or similar approximations. It finds 3-5 times more defects than other static analysis tools. SAST tools are able to be easily integrated into any team's software development process, unlike many other tools such as testing tools and compilers. SAST technologies such as CodeSonar attach to existing build environments to add analysis information. CodeSonar works in the same way as a compiler. However, CodeSonar creates an abstraction model of your entire program, instead of creating object codes. CodeSonar's symbolic execution engine analyzes the derived model and makes connections between them.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS GovCloud
Android
C#
C++
CodeSentry
Docker
Eclipse IDE
Gemini
GitHub
GitLab
Go
Imagen
Java
JavaScript
Lyria
Python
Qlik Sense
TypeScript
Veo
Visual Studio Code

Integrations

AWS GovCloud
Android
C#
C++
CodeSentry
Docker
Eclipse IDE
Gemini
GitHub
GitLab
Go
Imagen
Java
JavaScript
Lyria
Python
Qlik Sense
TypeScript
Veo
Visual Studio Code

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Google DeepMind

Founded

2010

Country

United States

Website

deepmind.google/discover/blog/introducing-codemender-an-ai-agent-for-code-security/

Vendor Details

Company Name

CodeSecure

Country

United States

Website

www.grammatech.com/products/source-code-analysis

Product Features

Static Application Security Testing (SAST)

Application Security
Dashboard
Debugging
Deployment Management
IDE
Multi-Language Scanning
Real-Time Analytics
Source Code Scanning
Vulnerability Scanning

Static Code Analysis

Analytics / Reporting
Code Standardization / Validation
Multiple Programming Language Support
Provides Recommendations
Standard Security/Industry Libraries
Vulnerability Management

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