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What is Lunar?

Streamlining threat detection involves actively monitoring compromised assets, stolen credentials, and potential risks hidden within the dark web. Transitioning from a reactive stance to a proactive one allows for the early identification of hidden breaches, stolen data, and emerging threats, preventing serious damage before it occurs. It is crucial to keep a close eye on attackers’ tactics, techniques, and procedures (TTPs) to gain an upper hand against any potential assaults. Implementing robust measures to protect your domain, digital assets, and employee information from cybercriminal activities is essential. Staying vigilant about potential threats to your domain, as well as illicit references and cyber incidents, ensures you receive timely and pertinent alerts. Utilize intelligent filters and dynamic visualizations to quickly pinpoint leaked credentials and risk events, enhancing your threat response capabilities. Strengthening your search abilities enables you to effectively address threats, leveraging AI-driven searches across the deep and dark web. Detecting compromised credentials and cyber threats from millions of dubious mentions found on the dark web is possible with just a few clicks. Monitoring for stolen privileged credentials, personally identifiable information (PII), and various threats within these hidden layers will help maintain a comprehensive security strategy. By adopting these methods, you can significantly enhance your defenses against the ever-evolving landscape of cyber threats and create a more resilient security framework. Ultimately, staying ahead of potential risks will empower your organization to respond effectively to any incidents that may arise.

What is DB CyberTech?

Centralized databases containing structured data, particularly sensitive personal information, are lucrative targets for cybercriminals. The repercussions of a successful hack can be severe, as seen in various incidents where attackers remained undetected for long stretches before extracting critical data. To prevent real-time data breaches, organizations should prioritize the proactive identification of potential threats and establish immediate alert systems to mitigate data loss before it happens. Additionally, maintaining awareness of possible insider threats is crucial for protecting data integrity. By refining current policy frameworks for unstructured data, organizations can enact continuous monitoring that specifically addresses the needs of structured data systems. This all-encompassing approach not only enhances security measures but also cultivates a proactive culture focused on recognizing and responding to new threats. Consequently, organizations that adopt these strategies can significantly reduce their vulnerability to data breaches.

Media

Media

Integrations Supported

Gigamon
Trellix Data Loss Prevention

Integrations Supported

Gigamon
Trellix Data Loss Prevention

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

Webz.io

Company Location

Israel

Company Website

webz.io/products/lunar

Company Facts

Organization Name

DB CyberTech

Date Founded

2012

Company Location

United States

Company Website

dbcybertech.com/products/security

Categories and Features

Categories and Features

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