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What is Semgrep?

Modern security teams are focused on fostering a collaborative atmosphere for developers by integrating code guardrails with every commit they make. Utilizing r2c’s Semgrep allows organizations to eliminate various types of vulnerabilities effectively and seamlessly. By adopting lightweight static analysis tools, the productivity of your security team can be significantly improved. Semgrep is recognized as a fast and open-source static analysis tool that makes it easy to express coding standards without complicated queries, facilitating early bug detection during the development cycle. The rules are intentionally crafted to reflect the code being examined, which removes the hurdles of navigating abstract syntax trees or wrestling with regex intricacies. You can effortlessly begin using over 900 available rules and leverage SaaS infrastructure for immediate feedback right in your editor, at the point of commit, or within continuous integration setups. Should the default rules fail to address your particular requirements, crafting custom rules that align with your organization’s coding standards is a quick and straightforward process, with syntax that mirrors the target code. For example, rules designed for Go are structured to align closely with the Go language, enabling the identification of function calls, class and method definitions, and more, all without the complications associated with abstract syntax trees or regex issues. This method not only simplifies the security workflow but also equips developers to produce high-quality code more efficiently and confidently, ultimately benefiting the overall development process. By embracing such tools, organizations can create a culture of security that becomes an integral part of the development lifecycle.

What is Matters.AI?

Matters.AI emerges as the trailblazing AI Security Engineer for Data, crafted to autonomously identify, understand, and resolve cases of data misuse prior to any notifications reaching the Security Operations Center (SOC). This groundbreaking solution offers robust protection for essential data, supervising sensitive information as it exists or transitions across different platforms, working much like a human security engineer that grasps context, observes activities, and independently safeguards confidential data in diverse environments such as cloud services, SaaS, endpoints, microservices, and AI pipelines. Leveraging cutting-edge technologies like semantic intelligence, nearest neighbor search, data lineage modeling, and predictive behavior analysis, Matters transcends traditional threat detection by interpreting context, anticipating possible dangers, and taking preemptive actions. Unlike conventional methods reliant on static rules, regex patterns, cumbersome dashboards, and incessant alerts, Matters skillfully interprets subtle data signals, monitors risks in real-time, and functions continuously. By recognizing sensitive information not just by its format but by its importance, Matters utilizes approaches such as fingerprinting and eBPF to oversee data across cloud environments, SaaS applications, endpoints, and beyond, guaranteeing thorough protection and heightened awareness. Ultimately, Matters.AI not only bolsters data security but also revolutionizes the risk management landscape in our increasingly digital world, reshaping how organizations approach data integrity and safety. Furthermore, this innovative solution empowers businesses to maintain compliance and fosters a culture of security awareness among employees.

Media

Media

Integrations Supported

Jira
Amazon Web Services (AWS)
Azure NetApp Files
Betterscan.io
ChatGPT
DefectDojo
Dropbox
GitHub
Hexway ASOC
IBM Cloud
Intercom
Logilica
MCPTotal
Microsoft Azure
Microsoft OneDrive
MongoDB
Notion
Replit
Silk Security
Slack

Integrations Supported

Jira
Amazon Web Services (AWS)
Azure NetApp Files
Betterscan.io
ChatGPT
DefectDojo
Dropbox
GitHub
Hexway ASOC
IBM Cloud
Intercom
Logilica
MCPTotal
Microsoft Azure
Microsoft OneDrive
MongoDB
Notion
Replit
Silk Security
Slack

API Availability

Has API

API Availability

Has API

Pricing Information

$40 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

r2c

Date Founded

2003

Company Location

United Kingdom

Company Website

r2c.dev/

Company Facts

Organization Name

Matters.AI

Date Founded

2025

Company Location

United States

Company Website

www.matters.ai/

Categories and Features

Application Security

Analytics / Reporting
Open Source Component Monitoring
Source Code Analysis
Third-Party Tools Integration
Training Resources
Vulnerability Detection
Vulnerability Remediation

Bug Tracking

Backlog Management
Filtering
Issue Tracking
Release Management
Task Management
Ticket Management
Workflow Management

Static Code Analysis

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

Categories and Features

Data Loss Prevention

Compliance Reporting
Incident Management
Policy Management
Sensitive Data Identification
Web Threat Management
Whitelisting / Blacklisting

Data Security

Alerts / Notifications
Antivirus/Malware Detection
At-Risk Analysis
Audits
Data Center Security
Data Classification
Data Discovery
Data Loss Prevention
Data Masking
Data-Centric Security
Database Security
Encryption
Identity / Access Management
Logging / Reporting
Mobile Data Security
Monitor Abnormalities
Policy Management
Secure Data Transport
Sensitive Data Compliance

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