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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 DarkOwl?

As a leading entity in the sector, we provide the most comprehensive database of darknet information available for commercial use worldwide. DarkOwl has crafted a suite of data solutions specifically designed for organizations that seek to evaluate risks and understand their threat environments by utilizing insights from the darknet. Our offerings, including the DarkOwl Vision user interface and API, facilitate easy access to our data across various platforms, including web browsers, native applications, and client-specific systems. The importance of darknet data transcends mere threat intelligence and investigative purposes, playing a crucial role in the success of businesses overall. Additionally, DarkOwl's API solutions give cyber insurance underwriters and third-party risk assessors the ability to utilize targeted darknet data points, seamlessly integrating these insights into scalable business models that effectively enhance revenue. By tapping into these valuable insights, companies can make strategic decisions that not only bolster their operational resilience but also strengthen their competitive edge in the market. This multifaceted approach to utilizing darknet data continues to reshape how businesses navigate potential risks and seize new opportunities.

Media

Media

Integrations Supported

Polarity

Integrations Supported

Polarity

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

DarkOwl

Date Founded

2009

Company Location

United States

Company Website

www.darkowl.com

Categories and Features

Categories and Features

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