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What is bearhug?

Bearhug provides a security solution specifically designed for teams that do not have dedicated security personnel by utilizing AWS Security Hub and GuardDuty. This cutting-edge platform enables ongoing surveillance of AWS accounts for possible vulnerabilities, distills complicated findings into straightforward language, and empowers users to address issues with just one click from its user-friendly dashboard, thereby removing the necessity for the AWS console. Getting Bearhug up and running is a quick and easy process, requiring less than five minutes to set up via the AWS Marketplace, with no installation, configuration, or outside consultants needed. Key features include a switchable interface that allows users to choose between simplified language and technical details, one-click remediation with rollback capabilities, real-time monitoring accompanied by email alerts for new issues, a comprehensive dashboard that supports multiple accounts across production, staging, and development environments, and compliance with important regulations such as GDPR, SOC 2, ISO 27001, PCI-DSS, and Cyber Essentials. The pricing structure is straightforward, set at a flat rate of $100 per month for each AWS account, billed through the existing AWS Marketplace account, which ensures clarity without any hidden per-asset fees. This pricing model makes Bearhug particularly attractive to organizations looking for effective security solutions that avoid the intricacies and high costs typical of conventional security systems. Additionally, the ease of use and comprehensive features might encourage more businesses to prioritize their security measures.

What is Amazon Detective?

Analyze and visualize security information to quickly identify the root causes of possible security threats. Amazon Detective streamlines the analysis process, allowing for efficient investigation and rapid identification of security issues or suspicious activities. By automatically collecting log information from your AWS resources, it employs machine learning, statistical methods, and graph theory to generate an interconnected dataset, which aids in faster and more effective security assessments. Complementary AWS security tools, such as Amazon GuardDuty, Amazon Macie, and AWS Security Hub, as well as external security applications, play a crucial role in identifying potential vulnerabilities or alerts. These tools are essential for detecting anomalies and helping direct you toward the appropriate remediation steps. Nevertheless, there may be situations where a security alert necessitates a more in-depth examination of the data to accurately identify and address the root cause prior to implementing corrective actions. Consequently, leveraging a combination of these services can significantly strengthen your overall security framework and enhance your ability to respond to threats effectively. In doing so, organizations can create a more resilient security environment, ultimately reducing the risk of data breaches.

Media

Media

Integrations Supported

AWS Security Hub
Amazon GuardDuty
AWS Marketplace

Integrations Supported

AWS Security Hub
Amazon GuardDuty
AWS App Mesh
AWS CloudTrail
Amazon Macie
Sophos Cloud Optix

API Availability

API Availability

Pricing Information

$100 per month
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

bearhug

Date Founded

2026

Company Location

United Kingdom

Company Website

www.bearhug.cloud

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/detective/

Categories and Features

Cybersecurity

Endpoint Management
Incident Management
Vulnerability Scanning

Categories and Features

IT Security

Not specified

Network Security

Not specified

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