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What is GuardRails?

Contemporary development teams are equipped to discover, rectify, and avert vulnerabilities across various domains, including source code, open-source libraries, secret management, and cloud configurations. They are also capable of detecting and addressing security weaknesses within their applications. The implementation of continuous security scanning accelerates the deployment of features while minimizing cycle durations. Our sophisticated system significantly reduces false positives, ensuring that you are only alerted to pertinent security concerns. Regularly scanning software across all product lines enhances overall security. GuardRails seamlessly integrates with popular Version Control Systems like GitLab and GitHub, streamlining security processes. It intelligently selects the most appropriate security engines based on the programming languages detected in a repository. Each security rule is meticulously designed to assess whether it presents a significant security threat, which effectively decreases unnecessary alerts. Additionally, a proactive system has been created to identify and minimize false positives, continuously evolving to enhance its accuracy. This commitment to precision not only fosters a more secure development environment but also boosts the confidence of the teams involved.

What is DeepRails?

DeepRails is a dedicated platform that emphasizes AI reliability by providing research-based guardrails aimed at consistently evaluating, monitoring, and correcting the outputs produced by large language models, which empowers teams to develop trustworthy AI applications ready for production use. Key components of its offerings include the Defend API, delivering real-time safeguarding for applications through automated guardrails and correction mechanisms, alongside the Monitor API, which evaluates AI performance by spotting regressions and assessing quality metrics such as accuracy, completeness, compliance with instructions and context, alignment with ground truth, and overall safety, alerting teams to potential problems before they affect end users. Furthermore, DeepRails incorporates a centralized console that allows users to visualize evaluation results, optimize workflow management, and effectively set guardrail metrics. Its distinctive evaluation engine utilizes a multimodel partitioned approach to scrutinize AI outputs based on metrics informed by research, accurately gauging various vital performance factors. This thorough methodology not only bolsters the reliability of AI applications but also encourages a proactive approach to upholding high standards in the quality of AI outputs, ultimately leading to enhanced user trust and satisfaction. In doing so, DeepRails positions itself as a key player in the evolution of responsible AI development.

Media

Media

Integrations Supported

Go
Python
Ruby
Angular
Ansible
Bitbucket
C++
CircleCI
GitHub
GitLab
Java
JavaScript
Jira
PHP
Swift
Warestack

Integrations Supported

Go
Python
Ruby
TypeScript

API Availability

Has API

API Availability

Has API

Pricing Information

$35 per user per month
Free Version
Free Trial Offered?

Pricing Information

$49 per month
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

GuardRails

Date Founded

2017

Company Location

Singapore

Company Website

www.guardrails.io

Company Facts

Organization Name

DeepRails

Date Founded

2025

Company Location

United States

Company Website

www.deeprails.com

Categories and Features

Categories and Features

AI Development

Not specified

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