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What is Libraesva PhishBrain?

Libraesva Phishing Simulator is a robust security awareness and evaluation tool designed to assist organizations in assessing and bolstering their employees' defenses against phishing threats through practical, controlled simulations. The platform empowers administrators to create and implement tailored phishing campaigns that closely mirror real-life threats, helping to pinpoint vulnerable users and gauge the overall risk exposure of the organization. With a user-friendly management dashboard, it provides comprehensive reports on user interactions, including who opened emails, clicked on malicious links, or submitted sensitive information, which aids in targeted follow-up training efforts. Offering a wide selection of pre-designed phishing templates, the tool also allows organizations to adapt scenarios to fit their specific risk profiles, industry requirements, or internal policies. Moreover, by incorporating features such as automated campaign scheduling, performance analytics, and user risk scoring, this solution enables organizations to develop ongoing security awareness initiatives that evolve with emerging threats. In this way, businesses can enhance their proactive strategies against cyber risks, ultimately leading to a more secure environment for everyone involved. As organizations navigate the complexities of digital security, the simulator proves to be an invaluable resource in maintaining vigilance against phishing attacks.

What is GreatHorn?

As companies shift towards cloud-based email solutions, it is essential to reevaluate email security protocols to effectively address the growing sophistication of zero-day threats and complex social engineering schemes, including business email compromise and account takeovers. The GreatHorn Cloud Email Security Platform transforms risk management by integrating cutting-edge detection capabilities for ever-evolving phishing attacks, while simultaneously promoting user involvement and efficient incident response, thus empowering organizations to confront advanced threats as they emerge. Notably, the platform can be set up in just five minutes without any need for adjustments to mail routing or MX records, featuring out-of-the-box policies that provide instant protection. By harnessing the power of artificial intelligence and machine learning, it adeptly identifies risk zones, uncovers threat patterns, and detects zero-day phishing attempts, which significantly reduces response times. Furthermore, ongoing user engagement is vital, as it offers real-time training for users who may encounter a phishing threat in their inbox, which bolsters overall security awareness in the organization. This proactive strategy not only enhances organizational defense but also ensures that businesses remain robust against the dynamic landscape of cyber threats. In this way, organizations can cultivate a culture of vigilance that is essential for navigating today's complex digital environment.

Media

Media

Integrations Supported

Microsoft 365
Google Cloud Platform
Libraesva Email Archiver
Libraesva Email Security
Libraesva LetsDMARC

Integrations Supported

Microsoft 365
Google Workspace

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Libraesva

Date Founded

2013

Company Location

United Kingdom

Company Website

www.libraesva.com/phishing-simulator

Company Facts

Organization Name

GreatHorn

Date Founded

2015

Company Location

United States

Company Website

www.greathorn.com/products/cloud-email-security/

Categories and Features

Anti-Phishing

Not specified

Categories and Features

Anti-Phishing

Not specified

Email Security

Not specified

Incident Response

Not specified

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